Perception and attitude towards online clinical modules: a cross-sectional study among medical students from two countries.

COVID-19 has deeply affected the world in various aspects including the education system worldwide. In this study, we intended to explore the merits and demerits of online clinical learning and its effect on medical education from a student's perspective. The study also assessed the perception and attitude of final-year medical students towards online clinical modules. This observational study was carried out in the Department of Community Medicine, Kasturba Medical College, Manipal (KMC) in collaboration with King's College London, UK (KCL). In our study, a total of 42 students were enrolled, with 37 students from KMC and 5 students from KCL. 81% of students reported that they were not willing to continue the online mode of learning. The abrupt switch to e-learning without prior preparedness has exposed some pitfalls that must be attended to. Contrary to other fields, the medical field places high importance on offline clinical teaching which has recently been impacted by online teaching. The survey responses were analyzed for improvisation of online clinical modules as well as to come up with better ideas and outcomes since this mode of learning may have to continue till the spread of the disease is under control.

Postcode based participatory disease surveillance systems : a comparison with traditional risk-based surveillance and its application in the COVID-19 pandemic.

BACKGROUND: Background: The SARS-Cov-2 infection has rapidly saturated health systems and traditional surveillance networks are finding hard to keep pace with its spread. We designed a participatory disease surveillance (PDS) system, to capture symptoms of Influenza-like illness (ILI) to estimate SARS-CoV-2 infection in the community. While data generated by these platforms can help public health organisations find community hotspots and effectively direct control measures, it has never been compared to traditional systems. OBJECTIVE: Methods and Objectives: A completely anonymised web based PDS system, www.trackcovid-19.org was developed. We evaluated the symptomatic responses received form the PDS system to the traditional risk based surveillance carried out by the Bruhat Bengaluru Mahanagara Palike over a period of 45 days in the South Indian city of Bengaluru. METHODS: Methods and Objectives: A completely anonymised web based PDS system, www.trackcovid-19.org was developed. We evaluated the symptomatic responses received form the PDS system to the traditional risk based surveillance carried out by the Bruhat Bengaluru Mahanagara Palike over a period of 45 days in the South Indian city of Bengaluru. RESULTS: Results: The PDS system recorded 11062 entries from 106 Postal codes. A healthy response was obtained from 10863 users while 199 (1.8%) reported symptomatic. Subgroup analysis of a 14 day symptomatic window recorded 33 (0.29%) responses. Risk based surveillance was carried out covering a population of 605,284 with 209 (0.03%) individuals identified symptomatic. CONCLUSIONS: Conclusion: Web PDS platforms provide better visualisation of community infection when compared to traditional risk based surveillance systems. They are extremely useful by providing real time information in the extended battle against this pandemic. When integrated into national disease surveillance systems, they can provide long term community surveillance adding an important cost-effective layer to already available data sources.