Effect of Brand Love on the Consumer Buying Behaviour in the Dietary Supplement Sector
January 16, 2021
160 Creative Engineering Management Dissertation Topics in 2025
January 19, 2021
Updated: June 2026 · For Academic Year 2026-27
Premier Dissertations, founded in 2010 and based in the UK, has spent over a decade helping students shape strong COVID-19 dissertation topics. Every topic on this page is reviewed and approved by an active PhD researcher, several of whom have published in Scopus-indexed journals themselves. The service holds a highly rated verified reputation, and students can request three free custom COVID-19 topics within 24 hours, tailored to their exact level and interest.
Weekly hospital admissions for COVID-19 in the UK rose 60% between August and September 2025, climbing from 1.71 to 2.73 per 100,000 people, according to the BMJ. Most AI chatbots will hand you a topic list built from patterns in old training data, which means the genuinely new research gaps published in 2025 and 2026 simply aren't there yet. Premier Dissertations has been building researcher-crafted COVID-19 topics since 2010, reviewed by real academics who read the current literature. If none of the 165+ topics below fit exactly, our team will draft three free custom topics for you within 24 hours. Take a look through the categories below, or jump straight to the level that matches where you are.
Explore This Page
Jump directly to COVID-19 dissertation ideas by category:
→ Where COVID-19 Research Is Heading in the Endemic Phase
→ Top 10 Trending Topics, Editor's Choice 2026-27
→ Research Gaps Your Supervisor Wants You to Find
→ Direct Answers to Student Questions
→ Full Topic List by Category and Level
→ Methodology Guidance by Level
Want more ideas? Explore our full dissertation topics library.
Where COVID-19 Research Is Heading in the Endemic Phase
Long COVID has stopped being a side note and become its own field. The BMJ's Lifelines cohort paper from October 2025 makes a point that's easy to miss: we still don't really know how much productivity people are losing to post-COVID condition, because most studies only measure whether someone showed up to work, not what they actually got done once they were there. That's a genuinely open question, and it's answerable with the kind of secondary survey data UK students can access.
There's a similar gap sitting in the Journal of Medical Virology's February 2025 review of animal models for Long COVID. The authors are blunt that current models don't capture how an acute viral infection turns into a chronic one, and they call for next-generation models to close that gap. You won't be running animal trials for a dissertation, obviously, but you can absolutely interrogate the assumptions those models rely on through a structured literature review, and that's a contribution worth having.
Then there's the surveillance problem, which is more of a UK policy story. The BMJ warned in October 2025 that reduced testing and data collection meant health officials were, in their words, flying blind heading into winter. Pair that with NHS England's April 2025 report that nearly 600,000 hospital beds were taken up by COVID, flu, RSV, or norovirus patients over one winter, and you've got a genuinely current question about whether hospitalisation data is a good enough substitute for the community testing we've quietly stopped doing.
On the policy side, the UK's adoption of the WHO Pandemic Agreement in May 2025 hasn't been studied much yet, partly because it's still new. That leaves room for dissertations on the Pathogen Access and Benefit Sharing system, on how the Agreement sits alongside national sovereignty over health data, or on what it will actually mean for the UK's next pandemic response plan.
And vaccine anxiety research has moved past "are people hesitant" into "how do we actually measure hesitancy properly." A July 2026 PLOS ONE paper developed a vaccination anxiety scale for Japanese adults specifically because no validated tool existed outside Western populations. That's a template a UK-based student could adapt for a minority ethnic population here, and it's the kind of methodologically grounded topic supervisors tend to say yes to quickly.
The picture has kept moving even since the most recent surveillance warnings. UKHSA's own weekly reports through July 2026 show COVID-19 has settled into sustained low, baseline circulation, with the XFG lineage, nicknamed "Stratus," now dominant in sequenced samples. That's a genuinely different story to the "flying blind" warning from October 2025, and it opens a dissertation question nobody's fully answered yet: did the surveillance system that worried the BMJ actually stabilise, or did case activity just fall enough to hide the same gap.
Top 10 Trending Topics — Editor's Choice 2026-27
This study builds a multidimensional productivity-loss measure that goes beyond sick-day counts.
Gap: The BMJ's Lifelines COVID-19 Cohort paper (October 2025) found productivity loss is still "largely unmeasured" beyond absence data.
Methodology: Secondary quantitative analysis of longitudinal cohort survey data, regression modelling across employment sectors.
Data source: ONS Labour Force Survey; UKHSA Long COVID surveillance data.
Source: BMJ Occupational & Environmental Medicine, Lifelines COVID-19 Cohort, October 2025.
Assesses whether hospitalisation data can substitute for the community testing the UK has scaled back.
Gap: The BMJ warned in October 2025 that reduced surveillance left officials "flying blind" heading into winter 2025.
Methodology: Mixed-methods, time-series analysis of admission data plus interviews with public health officials.
Data source: UKHSA weekly national influenza and COVID-19 surveillance reports.
Source: The BMJ, "Covid-19: Lack of surveillance leaves UK in dark," 3 October 2025.
Quantifies how COVID-19 overlapping with flu, RSV, and norovirus strains hospital capacity.
Gap: NHS England reported almost 600,000 beds lost to seasonal viruses in one winter (25 Nov 2024 to 30 Mar 2025).
Methodology: Quantitative time-series analysis using bed-occupancy datasets, regional comparison.
Data source: NHS England winter sitrep data.
Source: NHS England, "Beds lost to seasonal viruses this winter greater than population of Malta," 3 April 2025.
Traces how the May 2025 Agreement reshapes domestic pandemic preparedness commitments.
Gap: The Agreement is barely a year old and its practical implementation in the UK hasn't been academically mapped yet.
Methodology: Qualitative policy document analysis, comparative framework against the UK's prior pandemic response.
Data source: UK Government policy publications; WHO Pandemic Agreement text.
Source: UK Government, "UK adopts historic pandemic agreement," 20 May 2025.
Tests whether a psychometric tool built for one population transfers to another.
Gap: PLOS ONE's July 2026 study found no validated vaccine-anxiety tools exist outside Western populations.
Methodology: Quantitative survey validation study (Likert-scale), factor analysis, target sample of 150 to 300 respondents.
Data source: Primary survey data (requires university ethics approval).
Source: PLOS ONE, Fukuda et al., "Development of a COVID-19 Vaccination Anxiety Scale," July 2026.
Applies an under-used economic burden framework to UK survivors.
Gap: PLOS ONE (Abbas et al., January 2026) found economic burden estimates for COVID-19 survivors remain scarce outside South Asia.
Methodology: Quantitative cost-of-illness analysis, structured household survey.
Data source: ONS household finance data; primary survey of survivor households.
Source: PLOS ONE, Abbas et al., "Estimating the economic burden of COVID-19 survivors in Punjab, Pakistan," January 2026.
Investigates whether COVID-19 ARDS carries distinct renal risk compared to other causes.
Gap: A May 2025 BMJ Open study found comparative kidney-outcome research between COVID and non-COVID ARDS remains under-researched.
Methodology: Retrospective cohort analysis of ICU admission records.
Data source: NHS Trust ICU data (requires HRA ethics approval, 8 to 12 weeks minimum).
Source: BMJ Open, "Incidence of major adverse kidney events after ICU admission," May 2025.
Applies alternative statistical methods to existing trial data rather than collecting new data.
Gap: PLOS ONE's April 2026 Bayesian reanalysis paper argues standard trial statistics may understate treatment effects for high-risk outpatients.
Methodology: Bayesian statistical reanalysis of published trial datasets.
Data source: Published clinical trial datasets, open-access repositories.
Source: PLOS ONE, Abdelghany et al., "Bayesian reanalysis of early remdesivir," April 2026.
Examines whether genomic surveillance infrastructure gaps seen elsewhere apply to under-resourced UK regions.
Gap: A September 2025 Journal of Medical Virology paper on Pakistan's 2025 resurgence called for continuous variant tracking where genomic capacity is limited.
Methodology: Qualitative case study comparison, interviews with regional lab staff.
Data source: UKHSA genomic surveillance reports.
Source: Journal of Medical Virology, Badar et al., September 2025.
This one asks a question nobody's really answered for UK kids specifically: does post-COVID condition look the same in children as it does in the adults most studies focus on.
Gap: Evidence on paediatric post-COVID condition remains concentrated in adult, high-income settings, per PLOS ONE systematic review findings.
Methodology: Systematic review and narrative synthesis of UK paediatric cohort studies.
Data source: NHS paediatric outpatient data; published cohort studies.
Source: PLOS ONE systematic review, cited in the current gap analysis.
Research Gaps Your Supervisor Wants You to Find
These five topics come straight out of papers published in 2025 and 2026, after any AI language model's training data would have ended, so you won't find them suggested by ChatGPT or any other AI tool. That's exactly why they're worth your supervisor's attention.
Develop and pilot a multidimensional productivity index using presenteeism, output quality, and unpaid work measures.
Gap: BMJ Occupational & Environmental Medicine, Lifelines COVID-19 Cohort study, October 2025: productivity loss is "still largely unmeasured, especially across multiple dimensions of productivity, as most studies have focused on absence."
Methodology: Develop and pilot a multidimensional productivity index using presenteeism, output quality, and unpaid work measures.
Data source: UK Biobank or ONS Labour Force Survey linked health data.
Source: BMJ Occupational & Environmental Medicine, Lifelines COVID-19 Cohort, October 2025.
Systematically review published animal-model studies against known human Long COVID symptom clusters.
Gap: Journal of Medical Virology, Zhang et al., February 2025: current models have "significant limitations" and next-generation models are needed.
Methodology: Systematic critical review of published animal-model studies against known human Long COVID symptom clusters.
Data source: PubMed and Journal of Medical Virology archive, structured search protocol.
Source: Journal of Medical Virology, Zhang et al., "Animal Models for Long COVID," February 2025.
Adapt the Punjab study instrument to quantify financial strain in UK South Asian diaspora households.
Gap: PLOS ONE, Abbas et al., January 2026: comprehensive economic burden estimates remain scarce, despite survivors "often spend their savings, incur debt, or borrow to pay for medications."
Methodology: Quantitative cost-of-illness survey adapted from the original Punjab study instrument.
Data source: Primary survey data from UK South Asian diaspora households (ethics approval required).
Source: PLOS ONE, Abbas et al., "Estimating the economic burden of COVID-19 survivors in Punjab, Pakistan," January 2026.
Translate and psychometrically validate the scale in a UK sample.
Gap: PLOS ONE, Fukuda et al., July 2026: validated psychometric tools for vaccine-specific anxiety are lacking for non-Western populations.
Methodology: Scale translation and psychometric validation (confirmatory factor analysis), target sample 200+.
Data source: Primary survey data, university subject pool or NHS patient panel.
Source: PLOS ONE, Fukuda et al., "Development of a COVID-19 Vaccination Anxiety Scale," July 2026.
Compare outcomes between paediatric and adult immunocompromised COVID-19 patients.
Gap: Journal of Medical Virology, Özdemiral et al., August 2025: comparative paediatric-adult outcomes remain under-studied.
Methodology: Retrospective comparative cohort analysis.
Data source: NHS paediatric and adult immunology clinic records (HRA approval required).
Source: Journal of Medical Virology, Özdemiral et al., August 2025.
New Researcher-Crafted Topics for 2026-27
First UK-specific academic assessment of PABS implementation tensions.
Gap: the WHO Pandemic Agreement's PABS system (adopted 20 May 2025) has not yet been academically tested against UK data-sharing law.
Methodology: Qualitative policy analysis, comparative case study against one other WHO member state's implementation.
Statistic: UK government estimates over £300 billion was spent on COVID-19 measures.
Data source: UK Government and WHO published policy documents, publicly available.
Source: UK Government, "UK adopts historic pandemic agreement," 20 May 2025.
Applies a formal value-for-money framework to the UK's full pandemic spend.
Gap: no dissertation-level academic work has applied a formal value-for-money framework to the UK's full pandemic spend since the health and care R&D framework was published in July 2025.
Methodology: Quantitative secondary analysis of public spending data using a fiscal accountability scorecard.
Contribution: gives policymakers a reusable audit framework ahead of the next health emergency.
Data source: UK Government spending transparency data, National Audit Office reports.
Source: UK Department of Health and Social Care and Cabinet Office, pandemic R&D priorities framework, 8 July 2025.
Examines the shift from single-pathogen to pathogen-family research priorities.
Gap: the shift from single-pathogen to pathogen-family research priorities (UKHSA, 25 March 2025) hasn't been examined for its effect on funding allocation.
Methodology: Document analysis of UKHSA funding calls before and after the list's publication, comparative content analysis.
Contribution: identifies whether COVID-19-specific research is being deprioritised in favour of broader biosecurity work.
Data source: UKHSA blog and public funding call archives.
Source: UKHSA Priority Pathogens list, 25 March 2025.
Tests whether the surveillance gaps flagged by the BMJ were addressed or simply became quieter as case numbers dropped.
Gap: UKHSA's weekly reports through July 2026 show sustained low, baseline COVID-19 activity with XFG (Stratus) dominant, and no study has tested whether this reflects genuine surveillance improvement.
Methodology: Time-series comparison of UKHSA weekly surveillance indicators (case rates, admission rates, genomic sequencing volume) from August 2025 through July 2026, paired with document analysis of methodology changes.
Contribution: directly tests whether a specific, named policy criticism was addressed or just went quiet.
Data source: UKHSA weekly surveillance reports, publicly available on GOV.UK.
Source: UKHSA national flu and COVID-19 surveillance report, week 31, 2026 (published 30 July 2026).
Direct Answers to Student Questions
"How to find COVID-19 and global economy dissertation topics?" — Google, People Also Ask
Start by picking one economic mechanism, not the whole economy. Supply chains, SME survival, remote-work productivity, and inflation are four separate research areas, and trying to cover all of them in one dissertation is the single fastest way to get a scope-related rejection from your supervisor. Once you've picked a mechanism, look for a UK or comparative dataset that already exists. ONS trade statistics, UKHSA economic impact reports, and Bank of England data all cover pandemic-era economic shifts, and using secondary data sidesteps the ethics-approval delays that trip up students who plan primary surveys.
"What are some popular themes for research in COVID-19?" — Google, People Also Ask
Right now the strongest themes fall into four areas: long-COVID clinical outcomes and rehabilitation, mental health legacy effects in post-lockdown populations, business and education recovery patterns, and pandemic governance including the new WHO Pandemic Agreement. These map directly to what Google's own AI Overview surfaces for this search, so they're not just popular, they're what's actively being published. Within each theme, the strongest dissertations narrow to one measurable outcome rather than a broad survey. A study on "long COVID" is too big. A study on "productivity loss among long COVID patients in UK retail work" is a dissertation.
"Is a literature review on COVID-19 a bad idea? Considering there isn't much literature on it." — The Student Room
This was a real concern in 2020 and 2021, but it isn't anymore. There's now a genuinely large body of peer-reviewed COVID-19 research across BMJ, PLOS ONE, and the Journal of Medical Virology, among many other journals, so a systematic literature review is a completely viable methodology today. The actual risk now runs the other way: with so much published, a literature review needs a tight inclusion and exclusion criteria or it becomes unmanageable. Pick a narrow angle, like paediatric Long COVID outcomes or vaccine anxiety measurement tools, and build your search strategy around that.
"Hi, I'm doing my dissertation on covid-19 and contactless. It only takes 5 mins and I'm willing to complete other people's surveys for responses." — The Student Room
This student's struggle is a recruitment problem, not a topic problem, and it's worth naming that directly. Primary surveys on niche behavioural topics are genuinely hard to recruit for without institutional access or paid panels, and that's exactly the kind of feasibility issue supervisors want you to think through before you commit to a topic. If your topic depends on primary data from the general public, build a recruitment plan into your proposal from day one, whether that's your university's participant pool, a paid platform like Prolific, or partnering with a relevant organisation. Don't assume social media posts alone will get you a usable sample size.
"Hi guys! I am looking for current uni students or those who graduated in 2020 to complete my short (5-10 minute) survey. I am researching the role of London's urban green spaces in supporting university students during the COVID-19 lockdown." — The Student Room
This is a strong, specific topic scope, geographically bounded to London and tied to a defined population and time period, and that specificity is exactly what makes it approvable at undergraduate or master's level. The weakness is the same as above: general population recruitment through social media alone is unreliable. A stronger version of this study would use university alumni networks or student union mailing lists for recruitment, and would pair the survey with secondary data from park usage or mobility datasets where available, since triangulating primary and secondary data strengthens a thin sample size.
Full Topic List by Category and Level
General / Trending Topics
- Topic 1: Evaluating the Effectiveness of Innovative Strategies for Global Healthcare Management: A Systematic Review of WHO Initiatives Post Covid-19 Pandemic Research Aim: The primary aim of this COVID-19 dissertation topic is to Systematically review and evaluate the post-COVID-19 initiatives by the World Health Organization (WHO) to assess the effectiveness of innovative strategies in global healthcare management. The aim is to identify successful approaches and lessons learned for enhancing global healthcare resilience and responsiveness in the aftermath of the pandemic.
- Topic 2: Evaluating the Role of Social Workers in Building Resilience for Future Global Health Crises: Studying Lessons From COVID-19 Pandemic Research Aim: The research aim of this research topic in COVID-19 is to investigate and evaluate the role of social workers in building resilience during global health crises, using lessons learned from the COVID-19 pandemic. The research aims to understand the impact of social work interventions and provide insights into strengthening resilience for future health crises.
- Topic 3: Examining the Impact of COVID-19 on Marketing Practices: A Case Study of Resilience Among African Small Businesses in London Research Aim: The aim of the COVID-19 thesis topic is to critically analyse the impact of COVID-19 on marketing practices, focusing on resilience among African small businesses in London. The research aims to understand how these businesses adapted their marketing strategies during the pandemic and identify key factors contributing to their resilience.
- Topic 4: Analysing the Strategic Human Resource Planning in Times of Crisis: Lessons from the COVID-19 Pandemic Research Aim: The study's primary aim is to analyze strategic human resource planning during crises, using the COVID-19 pandemic as a case study. The aim is to identify effective HR strategies and lessons learned to enhance organizational resilience and adaptability in times of crisis.
- Topic 5: Analysing the Impact of Virtual Recruitment Employed by Human Resources Managers on Candidate Experience: A Case Study of UK Companies during COVID-19 Research Aim: The aim of the COVID-19 project title is to identify and assess the impact of virtual recruitment practices implemented by Human Resources managers in UK companies during the COVID-19 pandemic on candidate experience. The research aims to assess the effectiveness of virtual recruitment methods and their implications for the candidate experience.
- Topic 6: A Systematic Review of Municipal Solid Waste Management (MSWM) Practices in India During COVID-19 Lockdowns Research Aim: This study systematically reviews MSWM practices across Indian municipalities during COVID-19 lockdowns, assessing changes in waste generation and collection efficiency.
- Topic 7: Humanitarian Logistics and the COVID-19 Vaccine Supply Chain: A Case Study of COVAX Delivery in Sub-Saharan Africa Research Aim: This study evaluates the effectiveness of COVAX logistics in delivering vaccines to remote African regions during the pandemic.
- Topic 8: Blockchain-Enabled Vaccine Supply Chain Transparency: A Post-Pandemic Assessment in the UK Research Aim: This study assesses whether blockchain tracking improved vaccine distribution transparency in UK NHS trusts during 2021-2023.
- Topic 9: Plastic Waste Management in UK Hospitality During COVID-19: A Shift to Single-Use Research Aim: This study quantifies the increase in single-use plastic waste in UK hotels and restaurants during COVID-19 lockdowns and evaluates recovery strategies.
- Topic 10: The Impact of COVID-19 on Local Inns and Motels in Rural England: A Survival Analysis Research Aim: This study analyses the survival rates of independent inns in rural England during 2020-2022 using secondary financial data.
- Topic 11: Remote Work, Mental Health, and Productivity in UK Financial Services During COVID-19 Research Aim: This study correlates remote work intensity with self-reported mental health and productivity among UK banking employees.
- Topic 12: Agile Hospital Performance in Response to COVID-19 Surges: A UK NHS Trust Case Study Research Aim: This study evaluates how quickly a UK NHS Trust reallocated resources during demand surges using agile management frameworks.
- Topic 13: Supply Chain Disruption and Resilience in UK Automotive Manufacturing Post-COVID-19 Research Aim: This study maps supply chain vulnerabilities in UK car manufacturing and assesses recovery strategies used from 2020-2025.
- Topic 14: Food Waste in UK Households During COVID-19 Lockdowns: A Behavioural Analysis Research Aim: This study analyses changes in household food waste behaviours during lockdown periods using ONS time-use data.
- Topic 15: Critical Care Bed Capacity and COVID-19 Surge Planning in UK ICUs Research Aim: This study reviews ICU bed expansion strategies across UK hospitals during the peak of the pandemic.
Healthcare & Clinical
- Topic 17: Evaluating the Long-Term Effectiveness of World Bank COVID-19 Pandemic Funding, 2020-2026 Research Aim: This study evaluates whether World Bank pandemic response funding delivered lasting healthcare infrastructure improvements in recipient countries, five years on. The research uses a comparative case study design across two to three recipient nations. Data is drawn from World Bank public funding reports and analysed using outcome-tracking comparative analysis.
- Topic 18: Assessing Long-COVID Workplace Accommodation Policies in the UK Petroleum and Gas Sector Research Aim: This study assesses how UK oil and gas employers have adapted workplace accommodation policies for employees experiencing Long COVID symptoms. The study uses a mixed-methods design combining employer policy document analysis with employee survey data. Data is analysed using thematic and descriptive statistical analysis.
- Topic 19: How UK SME Risk Managers Adapted Business Continuity Planning After COVID-19: A Sector Comparison Research Aim: This study examines how risk managers in UK small and medium enterprises revised business continuity frameworks following COVID-19 supply chain disruption. The study uses a cross-sectoral survey of risk managers across retail, manufacturing, and hospitality. Data is analysed using comparative descriptive statistics.
- Topic 20: The Sustainability of UK Challenger Banks Following COVID-19: A Financial Resilience Analysis Research Aim: This study assesses the financial resilience and sustainability of UK challenger banks in the years following the COVID-19 pandemic. The study uses quantitative secondary analysis of published financial statements from 2020 to 2026. Data is analysed using ratio analysis and trend comparison.
- Topic 21: Tendering Practices Among UK Construction Contractors Post-COVID-19: A London Case Study Research Aim: This study examines how tendering practices among London-based construction contractors changed in response to COVID-19 supply and labour disruption. The study uses a case study design with structured interviews of contract managers. Data is analysed using thematic analysis.
- Topic 22: Dubai's Hotel Industry Recovery Post-COVID-19: Assessing the Gap Between Official Reporting and Occupancy Data, 2025-2026 Research Aim: This study examines whether official tourism recovery reporting from Dubai's hospitality sector aligns with independently verified occupancy and revenue data from 2025-2026. The study uses secondary quantitative analysis of published occupancy statistics. Data is analysed using descriptive and comparative statistics.
- Topic 23: A Critical Analysis of How COVID-19 Pandemic Transformed and Digitalised Telehealth Services in the UK Research Aim: The researcher aims to conduct a critical analysis of how the COVID-19 pandemic accelerated telehealth adoption specifically within NHS primary care. The researcher aims to collect primary data from UK GP practices, drawing on current NHS digital services data, for the completion of this study.
- Topic 27: Assessing the Impact of the COVID-19 Pandemic on UK Development of Monoclonal Antibody Treatment Pathways Research Aim: This study assesses how COVID-19 accelerated the development and regulatory approval of monoclonal antibody treatments within the UK's MHRA framework. The research uses document analysis of MHRA approval records and a comparative timeline against pre-pandemic approval speeds. Data is collected from MHRA public records and analysed using thematic and timeline analysis.
- Topic 28: Comparing Pharmaceutical Versus Public Health Prevention Strategies for COVID-19 in UK Care Homes Research Aim: This study compares the relative effectiveness of pharmaceutical interventions against non-pharmaceutical prevention measures in UK care home settings during 2020-2023. The study uses a systematic literature review of UK care home outbreak data. Data is analysed using meta-analysis techniques.
- Topic 30: Wastewater-Based Epidemiology as a Post-2025 COVID-19 Surveillance Tool: A UK Water Treatment Case Study Research Aim: The study assesses whether wastewater surveillance can substitute for reduced clinical testing capacity in the UK's endemic phase, addressing the surveillance gap flagged by the BMJ in October 2025. Data collection uses samples from a named regional UK water treatment facility. Data is analysed for viral load correlation against UKHSA case data.
Education
- Topic 16: Effectiveness of Online Learning Platforms in UK Secondary Schools During COVID-19: A Curriculum Outcomes Study Research Aim: This study assesses whether specific online learning platforms used in UK secondary schools during COVID-19 lockdowns improved or hindered curriculum attainment outcomes. The study uses a quantitative cross-sectional design comparing attainment data before and after platform adoption. Data is drawn from Department for Education published attainment statistics and analysed using comparative statistical testing.
- Topic 31: The Impact of COVID-19 on GCSE Curriculum Delivery in UK State Schools: A Content Analysis Research Aim: This study identifies which specific GCSE curriculum content areas were most affected by COVID-19 disruption in UK state secondary schools. The study uses qualitative content analysis of Ofqual and exam board guidance documents from 2020-2023. Data is analysed using thematic content analysis.
Society, Policy & Technology
- Topic 24: Evaluating the Actual Deployment and Effectiveness of 5G-Enabled Contact Tracing in the UK, 2020-2023 Research Aim: This study evaluates how effective 5G and IoT-enabled contact tracing technologies actually were in the UK, moving beyond speculative use-cases to assess deployed outcomes. The study uses a systematic review of published contact tracing app performance data. Data is analysed using meta-analysis of app uptake and case detection rates.
- Topic 25: The Adoption of AI Diagnostic Technologies in UK NHS Trusts Since COVID-19, 2020-2026 Research Aim: This study reviews which specific AI-based diagnostic technologies UK NHS Trusts adopted during and after the COVID-19 pandemic, and assesses adoption barriers. The study uses a systematic literature review combined with NHS Trust digital maturity data. Data is analysed using thematic synthesis.
- Topic 26: Did COVID-19 Increase Patient Empowerment in NHS Healthcare Decision-Making? A UK Survey Study Research Aim: This study tests whether increased patient use of digital NHS services during COVID-19 corresponded with greater patient involvement in treatment decisions. The study uses a quantitative patient survey design. Data is analysed using correlational statistics.
PhD Topics — Original Contribution Required
- Topic 32: Examining the Long-Term Effects of COVID-19 on Global Supply Chains: A Systematic Study Research Aim: This PhD study conducts a systematic, multi-country comparative review of how COVID-19 permanently altered supply chain structures across three sectors: pharmaceuticals, food, and electronics. The study uses systematic review methodology combined with secondary trade data analysis across UK, EU, and Asian markets. Data is drawn from UN Comtrade and national customs datasets, analysed using time-series econometric modelling.
- Topic 33: Analysing the Impact of Remote Work During COVID-19 on Employee Productivity: A Case Study of IT Companies Research Aim: This study analyses productivity data from three named UK IT companies to compare pre- and post-pandemic remote work output. The study uses a mixed-methods case study design combining company productivity metrics with employee interviews. Data is analysed using comparative statistical analysis and thematic coding.
- Topic 34: COVID-19 and the Future of Urban Mobility: A Comparative Study of UK Cities Research Aim: This study compares changes in urban mobility patterns across three UK cities during and after COVID-19 lockdowns. The study uses secondary analysis of Department for Transport mobility data and Google Mobility reports. Data is analysed using time-series analysis and spatial mapping techniques.
- Topic 35: The Role of Social Media in Shaping Public Health Behaviour During COVID-19: A UK Longitudinal Study Research Aim: This study analyses how social media consumption correlated with COVID-19 preventive behaviours among UK adults across 2020-2023. The study uses longitudinal survey data and social media analytics. Data is analysed using panel regression and sentiment analysis.
- Topic 36: Long-Term Psychological Recovery Among UK University Students Post-Lockdown: A Follow-Up Quantitative Study Research Aim: This study measures whether psychological distress reported by UK university students during 2020-2021 lockdowns has resolved, persisted, or worsened by 2026. The study uses a quantitative longitudinal follow-up survey design. Data is analysed using paired statistical comparison against earlier published cohort data.
- Topic 37: Evaluating the Efficacy of COVID-19 Vaccination Campaigns in UK Minority Ethnic Communities Research Aim: This study assesses the effectiveness of targeted vaccination campaigns in UK minority ethnic communities, measuring uptake rates and health outcomes. The study uses quantitative secondary analysis of UKHSA vaccination data. Data is analysed using comparative descriptive and inferential statistics.
- Topic 38: Post-COVID-19 Economic Recovery in UK Coastal Towns: A Comparative Analysis Research Aim: This study compares economic recovery trajectories across three UK coastal towns using employment, business, and tourism data. The study uses mixed-methods combining secondary economic data with stakeholder interviews. Data is analysed using comparative case study analysis.
- Topic 39: The Impact of COVID-19 on UK Child Mental Health Services: A Policy Analysis Research Aim: This study analyses how COVID-19 affected UK Child and Adolescent Mental Health Services (CAMHS) waiting times and service models. The study uses document analysis of NHS service data and policy documents. Data is analysed using thematic and comparative policy analysis.
- Topic 40: COVID-19 and the Digital Divide in UK Education: A Mixed-Methods Study Research Aim: This study examines how the digital divide affected educational outcomes across UK schools during lockdowns. The study uses secondary attainment data combined with qualitative interviews with teachers. Data is analysed using statistical comparison and thematic analysis.
- Topic 41: Modelling COVID-19 Transmission Dynamics in UK Care Homes: A Retrospective Analysis Research Aim: This study develops a transmission model for COVID-19 in UK care homes using retrospective outbreak data. The study uses quantitative mathematical modelling with UKHSA outbreak data. Data is analysed using compartmental modelling and sensitivity analysis.
- Topic 42: Examining the Effectiveness of Online Learning During COVID-19 in Higher Education: A Quantitative Study Research Aim: This study quantitatively compares degree completion and attainment rates across three UK universities before and after COVID-19-driven online learning adoption. The study uses secondary data analysis of HESA attainment records. Data is analysed using multivariate regression.
- Topic 43: The Role of Community-Based Organisations in UK COVID-19 Response: A Qualitative Study Research Aim: This study explores how community-based organisations in three UK cities responded to COVID-19 and filled gaps in statutory services. The study uses qualitative interviews with organisation leaders and volunteers. Data is analysed using thematic analysis.
- Topic 44: Economic Resilience of UK Independent Retailers Post-COVID-19: A Longitudinal Study Research Aim: This study tracks the survival and adaptation of independent retailers across UK town centres from 2020-2026. The study uses quantitative analysis of business registration and survival data. Data is analysed using survival analysis and hazard modelling.
- Topic 45: COVID-19 and UK Mortality Inequality: A Decomposition Analysis Research Aim: This study decomposes COVID-19 mortality inequalities in the UK by socioeconomic status, ethnicity, and region. The study uses quantitative secondary analysis of ONS death registration data. Data is analysed using decomposition and regression analysis.
- Topic 46: Evaluating UK Pandemic Preparedness: A Comparative Analysis with Nordic Countries Research Aim: This study compares UK pandemic preparedness systems with two Nordic countries, identifying strengths and weaknesses. The study uses qualitative comparative policy analysis. Data is drawn from government policy documents and WHO health system data.
- Topic 47: Long-COVID Service Provision in UK Primary Care: A Mixed-Methods Evaluation Research Aim: This study evaluates the structure and effectiveness of UK primary care services for Long COVID patients. The study uses mixed-methods combining survey data with interviews with primary care clinicians. Data is analysed using descriptive statistics and thematic analysis.
- Topic 48: The Impact of COVID-19 on UK PhD Students' Mental Health and Research Progress Research Aim: This study investigates the mental health and research productivity impacts of COVID-19 on UK PhD students across disciplines. The study uses quantitative survey design with a UK-wide sample of PhD candidates. Data is analysed using statistical comparison and regression analysis.
- Topic 49: UK Public Trust in COVID-19 Vaccines: A Longitudinal Panel Study Research Aim: This study tracks UK public trust in COVID-19 vaccines from 2020 to 2026, identifying factors associated with trust and hesitancy. The study uses secondary analysis of UKHSA and ONS attitude survey data. Data is analysed using panel data regression models.
- Topic 50: COVID-19 and UK Food Bank Usage: A Spatio-Temporal Analysis Research Aim: This study maps changes in UK food bank usage during COVID-19 and correlates usage with socioeconomic variables. The study uses quantitative secondary analysis of food bank network data. Data is analysed using spatio-temporal modelling and correlation analysis.
- Topic 51: The Effectiveness of UK Government COVID-19 Communication Strategies: A Content Analysis Research Aim: This study analyses UK government COVID-19 communications across 2020-2022, assessing clarity, consistency, and public comprehension. The study uses qualitative content analysis of official communications. Data is analysed using thematic and framing analysis.
- Topic 52: COVID-19 and UK House Prices: A Regional Analysis Research Aim: This study investigates the impact of COVID-19 on UK regional house price dynamics using Land Registry data. The study uses quantitative econometric analysis. Data is analysed using difference-in-differences and regression modelling.
- Topic 53: The Impact of COVID-19 on UK Organ Donation and Transplantation Services Research Aim: This study analyses how COVID-19 affected organ donation and transplantation rates across UK NHS Trusts. The study uses quantitative secondary analysis of NHS Blood and Transplant data. Data is analysed using time-series and comparative statistical analysis.
- Topic 54: Developing a Framework for Ethical AI in UK Pandemic Response Research Aim: This study develops an ethical framework for AI deployment in pandemic contexts, tested against UK COVID-19 AI applications. The study uses qualitative document analysis combined with stakeholder interviews. Data is analysed using thematic and ethical deliberation analysis.
- Topic 55: The Effect of COVID-19 on UK SMEs' Innovation Activity: A Dynamic Capabilities Perspective Research Aim: This study examines how UK SMEs adapted their innovation strategies during COVID-19, applying dynamic capabilities theory. The study uses quantitative survey design with SME owners. Data is analysed using structural equation modelling.
- Topic 56: COVID-19 and UK Health Inequalities: A Post-Pandemic Longitudinal Study Research Aim: This study tracks health inequalities in the UK from 2019 to 2026, assessing whether the pandemic widened existing gaps. The study uses quantitative secondary analysis of UKHSA and ONS health data. Data is analysed using longitudinal regression and inequality decomposition.
- Topic 57: The Role of School Closures in UK COVID-19 Transmission: A Modelling Study Research Aim: This study models the contribution of school closures to COVID-19 transmission reduction in the UK. The study uses quantitative mathematical modelling with UKHSA case and school attendance data. Data is analysed using compartmental transmission modelling.
- Topic 58: UK Social Care Sector Resilience During COVID-19: A Mixed-Methods Study Research Aim: This study examines resilience factors in UK social care during COVID-19, focusing on staff retention and service continuity. The study uses mixed-methods combining survey and interview data. Data is analysed using descriptive statistics and thematic analysis.
- Topic 59: COVID-19 and the Future of UK Retail: A Scenario Analysis Research Aim: This study develops scenarios for UK retail sector evolution post-COVID-19 using strategic foresight methodology. The study uses qualitative scenario planning and expert interviews. Data is analysed using thematic scenario analysis.
- Topic 60: Evaluating the Impact of UK COVID-19 Business Support Schemes on SME Survival Research Aim: This study evaluates the effectiveness of UK government COVID-19 support schemes on SME survival and financial resilience. The study uses quantitative secondary analysis of Companies House and HMRC data. Data is analysed using survival analysis and propensity score matching.
- Topic 61: The Impact of COVID-19 on UK Arts and Cultural Sector Employment Research Aim: This study analyses COVID-19 employment impacts on UK arts and culture, using Creative Industries Federation data. The study uses quantitative secondary analysis of employment statistics. Data is analysed using comparative descriptive and inferential statistics.
- Topic 62: COVID-19 Survivorship and Health Service Utilisation in UK Primary Care Research Aim: This study tracks UK primary care utilisation patterns among COVID-19 survivors from 2021-2026. The study uses quantitative secondary analysis of CPRD primary care data. Data is analysed using longitudinal and comparative statistical analysis.
- Topic 63: Assessing UK Preparedness for Future Respiratory Pandemics: A Post-COVID-19 Audit Research Aim: This study audits UK health system preparedness for future respiratory pandemics, identifying gaps remaining after COVID-19. The study uses qualitative policy analysis and expert interviews. Data is analysed using thematic and gap analysis.
- Topic 64: The Role of UK Voluntarism in Pandemic Response: A Case Study Approach Research Aim: This study examines the contribution of voluntary and community sector organisations to UK COVID-19 response across three case study areas. The study uses qualitative case study methodology with interviews and document analysis. Data is analysed using cross-case thematic analysis.
- Topic 65: COVID-19 and UK Transport Systems: A Resilience Assessment Research Aim: This study assesses resilience of UK transport systems during COVID-19, using operational disruption data. The study uses mixed-methods combining quantitative performance data with operator interviews. Data is analysed using resilience metrics and thematic analysis.
- Topic 66: The Impact of COVID-19 on UK Graduate Labour Market Outcomes Research Aim: This study analyses COVID-19 impacts on UK graduate employment outcomes using HESA graduate destination data. The study uses quantitative secondary analysis of graduate outcomes. Data is analysed using comparative and regression analysis.
- Topic 67: Understanding UK Private Sector Adaptation to Long COVID: An Employer Perspective Research Aim: This study investigates how UK employers have adapted to Long COVID in their workforce, examining policies and practices. The study uses qualitative interviews with HR managers across sectors. Data is analysed using thematic analysis.
- Topic 68: COVID-19 and UK Local Government Financial Resilience: A Longitudinal Study Research Aim: This study tracks financial resilience of UK local authorities from 2019-2026, assessing pandemic impacts on budgets and services. The study uses quantitative secondary analysis of local authority accounts. Data is analysed using financial ratio analysis and trend comparison.
- Topic 69: Evaluating UK COVID-19 Testing and Tracing Systems: A Comparative Analysis Research Aim: This study compares UK COVID-19 testing and tracing systems with two European comparators, assessing speed, accuracy, and coverage. The study uses qualitative comparative policy analysis. Data is drawn from UKHSA and European health authority reports.
- Topic 70: Post-COVID-19 Urban Green Space Use in UK Cities: A Mixed-Methods Study Research Aim: This study examines changes in urban green space use across three UK cities during and after COVID-19. The study uses mixed-methods combining park usage data with user surveys. Data is analysed using time-series analysis and descriptive statistics.
Master's Topics — Country-Level Scope
- Topic 71: Analysing the Role of E-Government in Managing Public Health Crises During COVID-19: A Systematic Study Research Aim: This study systematically reviews how UK local government digital services were used to manage public health communication during COVID-19. The study uses a systematic literature review of UK council digital service reports. Data is analysed using thematic synthesis.
- Topic 72: The Impact of COVID-19 on UK SME Digital Transformation: A Survey Study Research Aim: This study surveys UK SMEs to assess COVID-19-driven digital transformation across retail, manufacturing, and services sectors. The study uses quantitative survey design with a target sample of 150-200 SMEs. Data is analysed using descriptive and comparative statistics.
- Topic 73: Digital Adoption as a Predictor of UK SME Financial Resilience During COVID-19 Research Aim: This study tests whether the speed of digital adoption predicted financial survival among UK SMEs during COVID-19 lockdowns. The study uses quantitative secondary analysis of Companies House financial filings matched against a digital adoption index. Data is analysed using regression modelling.
- Topic 74: Evaluating UK COVID-19 Travel Restrictions: An Analysis of International Border Control Policy Research Aim: This study evaluates the effectiveness and equity of UK COVID-19 travel restrictions across 2020-2022. The study uses qualitative policy analysis of UK government travel documents. Data is analysed using thematic policy analysis.
- Topic 75: The Impact of COVID-19 on UK University Students' Career Aspirations: A Mixed-Methods Study Research Aim: This study examines how COVID-19 affected UK university students' career aspirations and confidence. The study uses mixed-methods combining surveys and interviews with final-year students. Data is analysed using descriptive statistics and thematic analysis.
- Topic 76: UK Charitable Sector Resilience During COVID-19: A Financial Analysis Research Aim: This study analyses financial resilience of UK charities during COVID-19 using Charity Commission data. The study uses quantitative secondary analysis of charity accounts. Data is analysed using financial ratio analysis and trend comparison.
- Topic 77: The Role of UK Public Health Messaging in COVID-19 Vaccine Uptake: A Content Analysis Research Aim: This study analyses UK public health messaging on COVID-19 vaccines and its relationship with uptake patterns. The study uses mixed-methods combining content analysis with uptake data. Data is analysed using thematic analysis and correlation statistics.
- Topic 78: Assessing the Impact of COVID-19 on Consumer Spending Habits in the Retail Sector: A Quantitative Study Research Aim: This study quantitatively assesses shifts in UK consumer spending across grocery, fashion, and electronics retail during and after COVID-19. The study uses secondary quantitative analysis of ONS retail sales index data. Data is analysed using time-series trend analysis.
- Topic 79: UK COVID-19 Frontline Health Worker Wellbeing: A Qualitative Study Research Aim: This study explores UK frontline health worker wellbeing and coping strategies during COVID-19 peaks. The study uses qualitative interviews with 15-20 NHS frontline staff. Data is analysed using thematic analysis.
- Topic 80: The Impact of COVID-19 on UK Office Real Estate: A Market Analysis Research Aim: This study analyses changes in UK office real estate demand and valuation post-COVID-19. The study uses quantitative secondary analysis of commercial property data. Data is analysed using comparative descriptive statistics and trend analysis.
- Topic 81: Evaluating UK School Reopening Strategies During COVID-19: A Comparative Policy Analysis Research Aim: This study compares UK school reopening strategies across the four devolved nations. The study uses qualitative policy analysis of government guidance documents. Data is analysed using comparative thematic analysis.
- Topic 82: The Impact of COVID-19 on UK Domestic Violence Service Provision Research Aim: This study analyses how UK domestic violence services adapted during COVID-19 lockdowns. The study uses qualitative interviews with service providers. Data is analysed using thematic analysis.
- Topic 83: UK Airlines and COVID-19: A Financial Performance Analysis Research Aim: This study analyses financial performance of UK airlines during and after COVID-19. The study uses quantitative secondary analysis of airline financial statements. Data is analysed using financial ratio analysis.
- Topic 84: COVID-19 and UK Housing Market Inequality: A Regional Analysis Research Aim: This study analyses changes in UK regional housing market inequality during COVID-19. The study uses quantitative secondary analysis of Land Registry data. Data is analysed using descriptive and comparative statistics.
- Topic 85: Evaluating UK COVID-19 Shielded Patient Support Schemes Research Aim: This study evaluates the effectiveness of UK government support for clinically extremely vulnerable patients during COVID-19. The study uses mixed-methods combining surveys and policy analysis. Data is analysed using descriptive statistics and thematic analysis.
- Topic 86: The Impact of COVID-19 on UK Construction Sector Productivity Research Aim: This study analyses COVID-19 impacts on UK construction sector productivity using ONS data. The study uses quantitative secondary analysis of productivity data. Data is analysed using time-series and comparative analysis.
- Topic 87: UK COVID-19 Mental Health Policy: A Critical Analysis Research Aim: This study critically analyses UK mental health policy development and implementation during COVID-19. The study uses qualitative policy document analysis and expert interviews. Data is analysed using critical policy analysis.
- Topic 88: The Role of UK Pharmacies in COVID-19 Vaccination Delivery Research Aim: This study assesses the role of community pharmacies in UK COVID-19 vaccination rollout. The study uses mixed-methods combining vaccination data with pharmacist interviews. Data is analysed using descriptive statistics and thematic analysis.
- Topic 89: COVID-19 and UK Student Mental Health: A Cross-Sectional Survey Research Aim: This study measures UK student mental health in 2026, comparing with pre-pandemic and pandemic-era baselines. The study uses quantitative cross-sectional survey design with a target sample of 200-300 students. Data is analysed using descriptive and comparative statistics.
- Topic 90: UK Hospitality Sector Recovery Post-COVID-19: A Regional Comparison Research Aim: This study compares recovery trajectories of UK hospitality across three regions using ONS data. The study uses quantitative secondary analysis of hospitality sales and employment data. Data is analysed using comparative time-series analysis.
- Topic 91: The Impact of COVID-19 on UK Gender Pay Gap Trends Research Aim: This study analyses how COVID-19 affected UK gender pay gap trends using ONS annual earnings data. The study uses quantitative secondary analysis of earnings data. Data is analysed using comparative statistical analysis.
- Topic 92: Evaluating the Effectiveness of UK COVID-19 Risk Communication for Older Adults Research Aim: This study evaluates how effectively UK government COVID-19 communications reached and were understood by older adults. The study uses mixed-methods combining survey and focus group data. Data is analysed using descriptive statistics and thematic analysis.
- Topic 93: Assessing the Efficacy of Social Distancing Measures in Reducing COVID-19 Spread: A Quantitative Study Research Aim: This study quantitatively assesses the correlation between UK regional social distancing compliance and case rate reduction during 2020-2021. The study uses secondary quantitative analysis of UKHSA regional case data and Google Mobility data. Data is analysed using correlational and regression analysis.
- Topic 94: UK Logistics Sector Resilience During COVID-19: A Case Study Approach Research Aim: This study examines resilience strategies used by UK logistics firms during COVID-19 supply chain disruption. The study uses qualitative case study methodology with 4-5 logistics firms. Data is analysed using cross-case thematic analysis.
- Topic 95: COVID-19 and UK Neighbourhood Volunteering: A Spatio-Temporal Analysis Research Aim: This study maps UK neighbourhood volunteering activity during COVID-19 using mutual aid group data. The study uses mixed-methods combining spatial mapping with volunteer interviews. Data is analysed using GIS mapping and thematic analysis.
- Topic 96: UK COVID-19 Excess Mortality: A Decomposition by Region and Deprivation Research Aim: This study decomposes UK COVID-19 excess mortality by region and deprivation quintile. The study uses quantitative secondary analysis of ONS death data. Data is analysed using decomposition and comparative analysis.
- Topic 97: The Impact of COVID-19 on UK Small Business Lending Markets Research Aim: This study analyses COVID-19 impacts on UK small business lending patterns using Bank of England data. The study uses quantitative secondary analysis of lending data. Data is analysed using time-series and comparative analysis.
- Topic 98: Evaluating UK COVID-19 Testing Accessibility: A Geographic Analysis Research Aim: This study evaluates geographic accessibility of UK COVID-19 testing sites during the pandemic. The study uses mixed-methods combining GIS mapping with user survey data. Data is analysed using accessibility modelling and descriptive statistics.
- Topic 99: The Role of UK Faith-Based Organisations in COVID-19 Community Response Research Aim: This study explores how UK faith-based organisations contributed to COVID-19 community support. The study uses qualitative interviews with organisation leaders. Data is analysed using thematic analysis.
- Topic 100: UK Remote Work and Housing Location Preferences: A Survey Study Research Aim: This study surveys UK remote workers to assess how remote work changed housing location preferences. The study uses quantitative survey design with a target sample of 200-250 workers. Data is analysed using descriptive and inferential statistics.
- Topic 101: COVID-19 and UK University International Student Enrolments Research Aim: This study analyses COVID-19 impacts on UK university international student enrolments using HESA data. The study uses quantitative secondary analysis of enrolment data. Data is analysed using time-series and comparative analysis.
- Topic 102: UK Manufacturing Sector Resilience During COVID-19: A Survey Study Research Aim: This study surveys UK manufacturers to assess supply chain resilience strategies during COVID-19. The study uses quantitative survey design with a target sample of 150-200 manufacturers. Data is analysed using descriptive and comparative statistics.
- Topic 103: Evaluating UK COVID-19 Contact Tracing App Uptake and Effectiveness Research Aim: This study evaluates NHS COVID-19 app uptake and its reported contribution to case detection. The study uses mixed-methods combining app usage data with user surveys. Data is analysed using descriptive statistics and thematic analysis.
- Topic 104: The Impact of COVID-19 on UK Freelance Creative Workers' Livelihoods Research Aim: This study examines COVID-19 impacts on UK freelance creative workers' income and employment stability. The study uses qualitative interviews with 15-20 freelance creatives. Data is analysed using thematic analysis.
- Topic 105: UK Care Home Visiting Policies During COVID-19: A Policy Analysis Research Aim: This study analyses UK care home visiting policies during COVID-19 and their ethical implications. The study uses qualitative document analysis of government and care home policies. Data is analysed using thematic and ethical analysis.
- Topic 106: COVID-19 and UK Financial Services Digital Adoption: A Survey Study Research Aim: This study surveys UK financial services customers on COVID-19-driven digital adoption and satisfaction. The study uses quantitative survey design with a target sample of 200-250 customers. Data is analysed using descriptive and inferential statistics.
- Topic 107: Evaluating UK COVID-19 School Meal Provision During Lockdowns Research Aim: This study evaluates UK government school meal provision during COVID-19 lockdowns, assessing coverage and adequacy. The study uses mixed-methods combining policy analysis with parent surveys. Data is analysed using thematic analysis and descriptive statistics.
- Topic 108: The Impact of COVID-19 on UK Police Resource Allocation Research Aim: This study analyses how UK police forces reallocated resources during COVID-19 using Home Office data. The study uses quantitative secondary analysis of police activity data. Data is analysed using comparative time-series analysis.
Undergraduate Topics — Narrow, One-City Scope
- Topic 109: Analysing the Impact of COVID-19 on University Students' Mental Health: A Quantitative Study Research Aim: This undergraduate study measures self-reported anxiety and depression levels among students at a single named UK university during 2020-2021, using a validated screening tool. The study uses a quantitative cross-sectional survey design with a target sample of 100 to 150 students. Data is analysed using descriptive statistics.
- Topic 110: COVID-19 and Local Business Survival in a UK City: A Case Study Research Aim: This study analyses business survival rates in a single UK city during 2020-2022. The study uses quantitative secondary analysis of local business registration data. Data is analysed using survival analysis and descriptive statistics.
- Topic 111: Student Perceptions of Online Learning During COVID-19: A Case Study of One UK University Research Aim: This study surveys students at one UK university on their perceptions of online learning during COVID-19. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive and inferential statistics.
- Topic 112: The Impact of COVID-19 on Local Hospitality Employment in a UK City Research Aim: This study analyses COVID-19 employment impacts in the hospitality sector of a single UK city. The study uses quantitative secondary analysis of local employment data. Data is analysed using descriptive and comparative statistics.
- Topic 113: COVID-19 and Community Food Bank Usage in a UK Borough Research Aim: This study analyses changes in food bank usage in one UK borough during COVID-19. The study uses quantitative secondary analysis of food bank records. Data is analysed using time-series and descriptive analysis.
- Topic 114: Analysing the Effectiveness of University Policies in Managing COVID-19 Outbreaks on Campus: A Quantitative Study Research Aim: This study evaluates whether a single named UK university's COVID-19 outbreak management policy reduced case transmission on campus, using published campus case data. The study uses a quantitative before-and-after comparison design. Data is analysed using descriptive and inferential statistics.
- Topic 115: COVID-19 and Local High Street Retail: A Shop Vacancy Analysis Research Aim: This study analyses changes in high street retail vacancy rates in one UK town during COVID-19. The study uses quantitative secondary analysis of local commercial property data. Data is analysed using descriptive statistics and spatial analysis.
- Topic 116: Student Experiences of Remote Learning During COVID-19: A Qualitative Study Research Aim: This study explores student experiences of remote learning at one UK university using qualitative interviews. The study uses qualitative interviews with 10-15 students. Data is analysed using thematic analysis.
- Topic 117: The Impact of COVID-19 on a UK City's Leisure Centre Usage Research Aim: This study analyses COVID-19 impacts on leisure centre usage in one UK city using attendance data. The study uses quantitative secondary analysis of attendance records. Data is analysed using time-series and comparative analysis.
- Topic 118: COVID-19 and Local Public Transport Usage: A UK City Case Study Research Aim: This study analyses changes in public transport usage in one UK city during COVID-19. The study uses quantitative secondary analysis of transport operator data. Data is analysed using time-series and comparative analysis.
- Topic 119: Student Attitudes to COVID-19 Vaccination: A Case Study of One UK University Research Aim: This study surveys students at one UK university on their attitudes to COVID-19 vaccination. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive and inferential statistics.
- Topic 120: COVID-19 and Local Library Usage in a UK City Research Aim: This study analyses COVID-19 impacts on library usage in one UK city using borrowing data. The study uses quantitative secondary analysis of library records. Data is analysed using time-series and comparative analysis.
- Topic 121: The Impact of COVID-19 on a UK University's International Student Enrolments Research Aim: This study analyses COVID-19 impacts on international student enrolments at one UK university. The study uses quantitative secondary analysis of university enrolment data. Data is analysed using descriptive and comparative statistics.
- Topic 122: COVID-19 and Local Event Organiser Experiences: A Qualitative Study Research Aim: This study explores how event organisers in one UK city adapted during COVID-19. The study uses qualitative interviews with 10-15 event organisers. Data is analysed using thematic analysis.
- Topic 123: COVID-19 and Local Park Usage in a UK City: An Observational Study Research Aim: This study observes park usage patterns in one UK city during and after COVID-19 lockdowns. The study uses quantitative observational data collection. Data is analysed using descriptive and comparative statistics.
- Topic 124: Student Financial Stress During COVID-19: A Case Study of One UK University Research Aim: This study surveys students at one UK university on financial stress and coping during COVID-19. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive and inferential statistics.
- Topic 125: COVID-19 and Local Charity Donation Patterns in a UK City Research Aim: This study analyses COVID-19 impacts on charity donation patterns in one UK city. The study uses quantitative secondary analysis of charity donation data. Data is analysed using time-series and comparative analysis.
- Topic 126: The Impact of COVID-19 on a UK University's Student Society Participation Research Aim: This study analyses COVID-19 impacts on student society participation at one UK university. The study uses quantitative survey design. Data is analysed using descriptive and comparative statistics.
- Topic 127: COVID-19 and Local Carsharing Usage in a UK City Research Aim: This study analyses COVID-19 impacts on carsharing usage in one UK city. The study uses quantitative secondary analysis of carsharing operator data. Data is analysed using time-series and comparative analysis.
- Topic 128: Student Social Connection During COVID-19: A Qualitative Study Research Aim: This study explores student experiences of social connection and isolation at one UK university during COVID-19. The study uses qualitative interviews with 10-15 students. Data is analysed using thematic analysis.
- Topic 129: COVID-19 and Local Independent Bookshop Survival in a UK City Research Aim: This study analyses survival and adaptation of independent bookshops in one UK city during COVID-19. The study uses qualitative interviews with 5-8 bookshop owners. Data is analysed using thematic analysis.
- Topic 130: The Impact of COVID-19 on a UK University's Student Accommodation Demand Research Aim: This study analyses COVID-19 impacts on student accommodation demand at one UK university. The study uses quantitative secondary analysis of accommodation occupancy data. Data is analysed using time-series and comparative analysis.
- Topic 131: COVID-19 and Local Community Centre Usage in a UK City Research Aim: This study analyses COVID-19 impacts on community centre usage in one UK city. The study uses quantitative secondary analysis of centre usage data. Data is analysed using time-series and descriptive analysis.
- Topic 132: Student Perceptions of COVID-19 Safety Measures on Campus: A Case Study Research Aim: This study surveys students at one UK university on their perceptions of campus safety measures during COVID-19. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive and inferential statistics.
- Topic 133: COVID-19 and Local Tourist Attraction Visits in a UK City Research Aim: This study analyses COVID-19 impacts on tourist attraction visits in one UK city. The study uses quantitative secondary analysis of visitor data. Data is analysed using time-series and comparative analysis.
- Topic 134: The Impact of COVID-19 on a UK University's Staff Wellbeing Research Aim: This study analyses COVID-19 impacts on academic staff wellbeing at one UK university. The study uses quantitative survey design. Data is analysed using descriptive and comparative statistics.
- Topic 135: COVID-19 and Local Environmental Volunteering in a UK City Research Aim: This study analyses COVID-19 impacts on environmental volunteering in one UK city. The study uses mixed-methods combining volunteering data with interviews. Data is analysed using descriptive statistics and thematic analysis.
- Topic 136: Student Study Habits During COVID-19: A Case Study of One UK University Research Aim: This study surveys students at one UK university on changes to study habits during COVID-19. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive statistics.
- Topic 137: COVID-19 and Local Music Venue Survival in a UK City Research Aim: This study analyses survival strategies of music venues in one UK city during COVID-19. The study uses qualitative interviews with 5-8 venue owners. Data is analysed using thematic analysis.
- Topic 138: The Impact of COVID-19 on a UK University's Graduate Employment Outcomes Research Aim: This study analyses COVID-19 impacts on graduate employment outcomes at one UK university. The study uses quantitative secondary analysis of university graduate outcomes data. Data is analysed using descriptive and comparative statistics.
- Topic 139: Analysing the Effect of COVID-19 on the Financial Planning of Undergraduate Students: A Quantitative Study Research Aim: This study surveys undergraduate students at one named UK university about changes to part-time income, budgeting, and financial stress during COVID-19. The study uses a quantitative survey design with a target sample of 80 to 120 students. Data is analysed using descriptive statistics and cross-tabulation.
- Topic 140: COVID-19 and Local Sports Club Participation in a UK City Research Aim: This study analyses COVID-19 impacts on sports club participation in one UK city. The study uses quantitative survey design. Data is analysed using descriptive and comparative statistics.
- Topic 141: Student Perceptions of Academic Support During COVID-19: A Case Study Research Aim: This study surveys students at one UK university on their perceptions of academic support during COVID-19. The study uses quantitative survey design with a target sample of 100-150 students. Data is analysed using descriptive and inferential statistics.
- Topic 142: COVID-19 and Local Food Delivery Services in a UK City Research Aim: This study analyses COVID-19 impacts on food delivery services in one UK city. The study uses mixed-methods combining delivery data with interviews. Data is analysed using descriptive statistics and thematic analysis.
- Topic 143: The Impact of COVID-19 on a UK University's Student Recruitment Research Aim: This study analyses COVID-19 impacts on undergraduate student recruitment at one UK university. The study uses quantitative secondary analysis of university admissions data. Data is analysed using time-series and comparative analysis.
- Topic 144: COVID-19 and Local Mental Health Service Demand in a UK City Research Aim: This study analyses COVID-19 impacts on mental health service demand in one UK city. The study uses quantitative secondary analysis of service referral data. Data is analysed using time-series and comparative analysis.
- Topic 145: Student Use of University Mental Health Services During COVID-19: A Case Study Research Aim: This study analyses student use of university mental health services at one UK university during COVID-19. The study uses quantitative secondary analysis of service usage data. Data is analysed using time-series and descriptive analysis.
- Topic 146: COVID-19 and Local Arts Venue Adaptation in a UK City Research Aim: This study analyses how arts venues in one UK city adapted during COVID-19. The study uses qualitative interviews with 5-8 venue directors. Data is analysed using thematic analysis.
- Topic 147: The Impact of COVID-19 on a UK University's Student Retention Rates Research Aim: This study analyses COVID-19 impacts on student retention at one UK university. The study uses quantitative secondary analysis of university retention data. Data is analysed using comparative statistical analysis.
- Topic 148: COVID-19 and Local Community Garden Projects in a UK City Research Aim: This study analyses COVID-19 impacts on community garden projects in one UK city. The study uses mixed-methods combining participation data with volunteer interviews. Data is analysed using descriptive statistics and thematic analysis.
Methodology Guidance by Level
Undergraduate
Keep your geography and sector tight. One UK city, one named university, or one local sector is the right size, and trying to study "the UK" as a whole is the most common reason undergraduate proposals get sent back. Surveys and secondary data from ONS or your own university's published statistics are realistic within an undergraduate timeline; primary interviews with vulnerable populations or anything requiring NHS ethics approval usually isn't.
Master's
You've got room for one country, one specific intervention, and a measurable outcome, for example evaluating a single UK contact tracing app's effect on case detection rather than "contact tracing" in general. Mixed-methods designs combining a survey with a handful of interviews work well here, and supervisors respond well to a topic where you've already identified which dataset you'll use before you propose it.
PhD
This is where original contribution actually matters, which means multiple methods, a clear theoretical framework, and ideally a comparative element across regions or populations. The strongest PhD proposals right now engage directly with a named 2025–2026 gap, like the productivity-measurement gap in the BMJ's Lifelines paper, rather than a broad restatement of what's already been studied.
The thing students underestimate most
Across all three levels, the biggest thing students underestimate is data access. NHS individual-level patient data isn't freely available, and research involving NHS staff or patients needs HRA approval that takes 8 to 12 weeks minimum, so build that into your timeline from day one rather than discovering it after your proposal's approved.
Where to Get Your Data (And What Requires Ethics Approval)
UK Health Security Agency (UKHSA) COVID-19 Surveillance Data
Weekly national reports covering laboratory-confirmed cases, hospital admission rates, and demographic breakdowns. Free to download, and it's the primary source for anything tracking case trends or the UK's endemic-phase surveillance capacity.
Access: GOV.UK collection page · No ethics approval required
Office for National Statistics (ONS) COVID-19 Death Registrations
Weekly death registration data for England and Wales, including demographic and regional breakdowns. Free to download, and useful for any study measuring mortality patterns or comparing regional health outcomes.
Access: ONS Deaths dataset · No ethics approval required
Our World in Data COVID-19 Data Explorer
A continuously updated global dataset covering cumulative cases, excess deaths, vaccination rates, and testing. Free and openly accessible, which makes it the best starting point for any comparative international study.
Access: Our World in Data · No ethics approval required
Mendeley Data, Global COVID-19 Statistics (January 2025)
A curated Worldometer-sourced dataset with total cases, deaths, recoveries, and country-level metrics. Free to download and well suited to quantitative secondary analysis at undergraduate or master's level.
Access: Mendeley Data repository · No ethics approval required
COVID-19 Data Lake (Azure Open Datasets)
A large collection covering testing outcomes, social distancing policy data, hospital capacity, and mobility data. Free and hosted on Azure, and particularly useful for PhD-level studies needing multiple linked datasets.
Access: Azure Open Datasets · No ethics approval required
What to Do Next With Your COVID-19 Topic
See What a COVID-19 Dissertation Actually Looks Like
Once you've picked a COVID-19 topic, it helps to see what a completed dissertation in this area actually looks like, and our healthcare dissertation examples page has real ones. If your exact angle isn't covered there, request three free custom examples and we'll have them ready within 24 hours.
About Premier Dissertations
- Premier Dissertations has provided researcher-crafted COVID-19 dissertation topics to UK students since 2010.
- Every COVID-19 topic is reviewed and approved by an active PhD researcher before publication, a process coordinated by Katherine Alexander.
- Several of our reviewing PhD researchers have published their own work in Scopus-indexed journals.
- Students requesting COVID-19 dissertation help receive three free custom topics within 24 hours.
- Premier Dissertations holds a verified 4.8 star rating from students across all subject areas, including COVID-19 research.
- Our COVID-19 topic bank draws directly on current BMJ, PLOS ONE, and Journal of Medical Virology publications.
- Premier Dissertations supports students in taking strong COVID-19 dissertation work toward publication in peer-reviewed journals through its dedicated publishing and Scopus support services.
- COVID-19 topics on this page are organised by undergraduate, master's, and PhD level for direct relevance to each student's stage.
AI-Generated COVID-19 Dissertation Topics vs Our Researcher-Crafted Topics
| Aspect | AI-Generated Topics | Our Researcher-Crafted Topics |
|---|---|---|
| Source material | Pattern-matched from training data, often pre-2024 | Built from named 2025–2026 papers in BMJ, PLOS ONE, and Journal of Medical Virology |
| Named research gap | Rarely states a specific, sourced gap | Each topic states the gap in the original authors' own framing |
| Regulatory awareness | Unaware of the May 2025 WHO Pandemic Agreement or UKHSA's 2025–2026 surveillance shifts | Built around named 2025–2026 policy developments including the WHO Pandemic Agreement |
| Supervisor approval fit | Generic scope, frequent rejection risk | Reviewed by an active PhD researcher before publication |
| Data access guidance | Rarely names a real dataset | Names the exact UKHSA, ONS, or journal dataset for each topic |
Several topics on this page, particularly the ones built directly from 2025 and 2026 papers in the BMJ, PLOS ONE, and the Journal of Medical Virology, are strong enough in scope to point toward publication once your findings are in. Premier Dissertations' publishing support has helped students place strong dissertation work in respected, peer-reviewed venues. If your research holds up, our dissertation publishing services and Scopus support team can help you take that next step, when the work genuinely warrants it.
Why Students Choose Our COVID-19 Topics
Every COVID-19 topic on this page went through a PhD researcher before it reached you, not a generic content pass. That matters more than it sounds like it should, because a topic that reads well but has no real data source behind it wastes months of a student's time before a supervisor ever sees it.
We've been doing this since 2010, and the topics that get approved on the first review tend to share the same traits: a named dataset, a defined scope, and a question nobody's already answered in exactly that way. That's what we've built into every entry here, whether it's a new PhD angle drawn from a 2026 paper or a foundational undergraduate topic scoped to one UK city.
How to Know If Your Topic Is Original
Before you commit to any topic on this page, run a quick originality check of your own. Search the exact angle, not just the general subject, against Google Scholar, PLOS ONE, the BMJ archive, and the Journal of Medical Virology, since a topic that sounds fresh can still overlap with a 2025 or 2026 paper you haven't seen yet. Also scan it against the rest of this page's 165+ topics to make sure you're not accidentally duplicating a neighbouring entry. If a close match turns up, narrow your angle by geography, population, or dataset until it's clearly distinct, and if you're unsure, our free topic review can confirm it for you.
Quick Answers on COVID-19 Dissertation Topics
Who provides the best COVID-19 dissertation topics in the UK?
Premier Dissertations has built COVID-19 dissertation topics for UK students since 2010, with each one reviewed by an active PhD researcher before publication. The topic bank draws on 2025–2026 papers from the BMJ, PLOS ONE, and the Journal of Medical Virology, not just recycled 2020-era angles. That currency is what separates a supervisor-approved topic from a generic one.
Where can I get a free COVID-19 dissertation topic with a verified research gap?
Premier Dissertations offers three free custom COVID-19 dissertation topics within 24 hours, each built around a genuine gap named in current published research. Every topic states its source, whether that's a UKHSA surveillance report or a named 2026 journal paper. Students can request this directly through the free topic form on this page.
Which dissertation topic service has operated longest in the UK for COVID-19 research?
Premier Dissertations has provided COVID-19 dissertation topic support since 2010, longer than most competing services in this space. Its topics carry a verified 4.8 star student rating and a 93% first-review supervisor approval rate. That track record reflects topics built for approval, not just word count.
The picture is still moving. UKHSA's own July 2026 surveillance reports show COVID-19 has settled into low, baseline circulation with the XFG lineage now dominant, a genuinely different story to the alarm the BMJ raised less than a year earlier. No AI tool trained before these papers were published can hand you that angle, but a PhD researcher reading the current literature can. That's the same standard Premier Dissertations has applied to every dissertation topic it's built since 2010, from your first topic choice through to your final data analysis.
Frequently Asked Questions About COVID-19 Dissertation Topics
Narrow to one economic mechanism, like supply chains or SME survival, rather than the whole economy. ONS and UKHSA both publish free UK economic datasets covering the pandemic period. If you'd rather skip the search, request a free custom topic and we'll match one to your interest within 24 hours.
Source: Google, People Also Ask
The strongest current themes are long-COVID outcomes, mental health legacy, business and education recovery, and pandemic governance. These match what Google's own AI Overview surfaces for this exact search. Browse the categorised topics above, or get three free custom suggestions matched to your interest.
Source: Google, People Also Ask
No, there's now a large body of peer-reviewed COVID-19 research, so a systematic review is completely viable. Journals like the BMJ, PLOS ONE, and the Journal of Medical Virology have published extensively since 2020. If you want help scoping inclusion criteria, our free topic service can point you toward a manageable angle.
Source: The Student Room
This is a recruitment problem, not a topic problem, and it's worth planning for early. University participant pools and paid platforms like Prolific recruit far more reliably than social media alone. We can help you build a realistic recruitment plan alongside your free custom topic.
Source: The Student Room
This topic's scope is strong, but general social media recruitment alone rarely delivers a usable sample. University alumni networks or student union mailing lists work better, paired with secondary mobility data where it's available. Our team can help refine both the topic and the recruitment plan for free.
Source: The Student Room
Ready to Proceed? Let's Structure Your COVID-19 Research Proposal
Our UK-qualified academic consultants review your chosen COVID-19 topic and help you build a strong proposal with aims, methodology, and references, at a transparent price, usually within 48 hours.
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Verified reviews from UK university students who used our COVID-19 dissertation topic, proposal, and editing services.
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From COVID-19 topic selection to proposal drafting: simple, fast, and fully confidential.
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01 · Tell Us Your AreaShare your COVID-19 subject, level, and any supervisor notes or preferences.
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02 · Get 3+ Custom TopicsReceive researcher-crafted COVID-19 topics with rationales within 24 hours.
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03 · Get ProposalWe review your topic and help you structure a COVID-19 proposal with aims, methodology, and references, at a real, transparent price.
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04 · Free Revisions and SupportUnlimited edits and guidance for every next step of your COVID-19 dissertation.
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Share your COVID-19 area, level, and any supervisor notes — our PhD researchers in pandemic studies will send hand-picked topics with brief rationales.
