PURPOSE: During the timeline of twenty years, several epidemics and pandemics have occurred. Yet, a consistent feature of these public health crises is the surge in the demand for healthcare services exceeds the availability. MATERIALS AND METHODS: A cross-sectional web-based survey was conducted in the month of June and July 2020 in Karachi, Pakistan. The study participants included doctors and medical students residing in Karachi. RESULTS: Out of 187 doctors, 74.3% were working during the COVID-19 pandemic, of which 58.3% were willing to work. Out of 200 medical students, 93.5% were not volunteering during the COVID-19 pandemic, of which 46% were willing to volunteer. Doctors strongly agreed that they would be willing to work during the COVID-19 pandemic if they were healthy and able to do so (57.2%), if they were provided personal protective equipment (PPE) (51.3%), and if they were guaranteed coverage of treatment cost if they get infected while working (57.8%). Medical students strongly agreed that they would be willing to volunteer during the COVID-19 pandemic if they were provided PPE (49.0%), and if their parents were supportive of their decision to volunteer (44.5%). Most doctors (54.5%) felt that they were extremely likely to get infected while working during the COVID-19 pandemic and 59.4% felt that in turn, they were extremely likely to infect their families as well. Most medical students (40.5%) felt that they were somewhat likely to get infected while volunteering during the COVID-19 pandemic and 55.5% felt that in turn, they were extremely likely to infect their family as well. In the event of infection with COVID-19, 51.3% doctors and 42.0% medical students felt that they would recover without hospitalization. CONCLUSION: Since future pandemics are likely, we encourage health-care policymakers to utilize the findings of this study to create a sustainable pandemic response.
Risk Perception and Willingness to Work Among Doctors and Medical Students of Karachi, Pakistan During the COVID-19 Pandemic: A Web-Based Cross-Sectional Survey