Research Aim: The proposed study aims to develop a taxonomy tree to investigate the methods used for disease confrontation and it associated negative and positive effects. The study will use case studies and systematic literature review to evaluate the methods used against virus outbreak and disease epidemic. The study will examine proposed medical, preventive, detection, prediction, and social methods for the containing the spread of the virus. Data will be collected from academic literature and analysed using meta-analysis techniques.  

Research Aim: The aim of the study is to critically analyse current and future impacts of COVID-19 on office design, location, and function with respect to innovative community and occupational health and safety expectations. The study will also explore office efficiency and cost controls with regards to corporate social responsibility.  The study will be designed using web-based professional and business reports while also using a questionnaire to collect data. The data will be analysed using historical office trends and PLS-SEM.

Research Aim: The primary aim of the study is to assess the impact to COVID-19 on wastewater. The study will conduct field studies of conventional wastewater treatment facilities. Data collection will be conducted through collection of wastewater treated through conventional methods. It will be assessed for presence of the coronavirus. The study will assess the risk that wastewater may present in the re-emergence of COVID-19 through waterborne or aerosolised wastewater pathways. The study will recommend solutions to improve wastewater treatment methods.

Research Aim: The aim of the study is to identify and assess the impact of COVID-19 pandemic on online learning specifically on changes to curriculum. The study will assess if learning processes and standards changed due to the COVID-19 pandemic. The study will use qualitative principles to conduct the research. Data will collection will take place through structured interview questions and curriculum content of public schools in the UK. Data analysis will take place using content analysis.  

Research Aim: The primary aim of the study is to assess the effects of COVID-19 on contamination risks associated with waste management. The study will review the changes to management of municipal solid wastes during the pandemic. The study will be conducted using mixed methods research techniques. Data will be collected though time-series data and structured interview questions. Data will be analysed using content analysis and inferential statistics.

Research Aim: The study proposes to assess the impact of COVID-19 on humanitarian logistics and supply chain methods. The study will particularly assess the effects of the pandemic on humanitarian supply chains to current conflict areas. The study will use quantitative research techniques for data collection and analysis. Data will be collected using time-series data from global humanitarian organisations. Data will be analysed using inferential statistics.   

Research Aim: The study aims to assess the implementation of blockchain technology to assure transparent tracing of COVID-19 vaccine registration, storage and delivery, and side effects self-reporting. The study will examine if the availability of operational and transparent distribution chain that can be audited by all relevant stakeholders effects the success of COVID-19 vaccination campaigns. The study will be conducted using qualitative techniques. Data will be collected and analysed using systematic literature review and meta-analysis.   

Research Aim: The study aims to identify and assess waste management issues faced in developing countries. The study assesses the increase of medical plastic waste and its impact on the civic waste management system. The research is conducted using quantitative techniques, such as data collected from time-series data. The data will be analysed using inferential statistics like ANOVA, MANOVA, and t-testing.  

Research Aim: The primary aim of the study is to assess the impact of the coronavirus pandemic on the customer satisfaction of local inns and motels in the UK. The study will use quantitative research techniques for data collection and analysis. The data will be collected using tourism accommodation survey, CASBEE survey, and importance-performance analysis. The data will be analysed using descriptive and inferential statistics.

Research Aim: The proposed study aims to assess the changes to working routines that affected productivity and well-being of remote workers. The study looks to analyse and understand how a common working day looks when employees are working from home. The study will be conducted using cross-sectional research design. The data will be collected using a Likert-scale questionnaire distributed to remote workers in the UK. The data will be analysed using structured question modelling using partial least squares.   

Research Aim: The purpose of the study is to assess the factors which impact agile performance of covid-19 hospitals in the UK. The aim is to analyse factors linked to the agility of covid-19 care operations. The study will use Total Interpretive Structural Modelling (TISM) approach to conduct research. Data will be conducted through questionnaire surveys and analysed accordingly.

Research Aim: The aim of the study is to assess the relationship of COVID-19 pandemic on supply disruption and organisational performance using the mediating variables of customer satisfaction and productivity. The study will be conducted using cross-sectional survey design. The data will be collected using stratified sampling methods. The data will be analysed using confirmatory factory analysis to assess the model fit of the data. Structural equation modelling will be used for hypotheses testing. 

Research Aim: The study assesses the effect of pandemic conditions on food waste disposal in urban areas. The study aims to analyse food waste, water waste, and energy waste impact on public health and environment. The research is conducted using empirical techniques, such as data collection through time-series data of urban areas. The data will be analysed using inferential statistics.

Research Aim: The aim of the study is to explore and describe experiences of urban critical care centres under the COVID-19 pandemic. The study focuses on the initial surge of COVID-19 patients in critical care centres in the USA. The research will focus on variables such as critical care bed capacity, staffing, equipment, and systematic efficiency. The data is collected using time-series data and Likert-scale questionnaire surveys. Data is analysed using inferential statistics and structural equation modelling.