Impact of Social Distancing on Research Activities: An online cross-sectional survey
Abstract
During the Coronavirus Disease 2019 (COVID-19) pandemic, many institutions enforced social distancing measures to limit or restrict access to offices, laboratories, and workplaces, disrupting the standard workflow of research. This survey investigates the impact of social distancing measures in universities and research institutes on research and research training. An online survey was designed for distribution to researchers and students worldwide to researchers in medical physics, engineering, science, clinical, arts and social studies. In addition to demographic questions, we surveyed the impact of social distancing in terms of research output, training activities, and mental health of the researchers and students. One hundred and thirty participants completed the survey, of which 72% of the respondents were from Malaysia, and 58% of the respondents were female. Prior to the pandemic, 59% worked in hospitals and universities. There was a variation in how strict social distancing was practised/enforced in different institutions, with 85% reporting limited or completely no access to laboratories or research facilities. A significant difference was found between genders, with female respondents reporting to be less affected by the social distancing measures. No correlation was found between age and the reported effect of social distancing research activities. The most affected research activities were research progress, presentation of results at conferences, and data…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
Read the paper
Related studies
- Quantum dots: synthesis, bioapplications, and toxicity
- A Guide to In Silico Drug Design
- Quantum Computing for Healthcare: A Review
- Automated in Silico Design of Homogeneous Catalysts
- Identification of Novel 3-Hydroxy-pyran-4-One Derivatives as Potent HIV-1 Integrase Inhibitors Using in silico Structure-Based Combinatorial Library Design Approach
- In silico structural elucidation of RNA-dependent RNA polymerase towards the identification of potential Crimean-Congo Hemorrhagic Fever Virus inhibitors
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.