Abstract
ObjectiveData-driven innovations are essential in strengthening disease control. We developed a low-cost, open-source system for robust epidemiological intelligence in response to the COVID-19 crisis, prioritising scalability, reproducibility and dynamic reporting.MethodsA five-tiered workflow of data acquisition; processing; databasing, sharing, version control; visualisation; and monitoring was used. COVID-19 data were initially collated from press releases and then transitioned to official sources.ResultsKey COVID-19 indicators were tabulated and visualised, deployed using open-source hosting in October 2022. The system demonstrated high performance, handling extensive data volumes, with a 92.5% user conversion rate, evidencing its value and adaptability.ConclusionThis cost-effective, scalable solution aids health specialists and authorities in tracking disease burden, particularly in low-resource settings. Such innovations are critical in health crises like COVID-19 and adaptable to diverse health scenarios.
Subject
Health Information Management,Health Informatics,Computer Science Applications
Reference20 articles.
1. An interactive web-based dashboard to track COVID-19 in real time
2. Digital Technologies in the public-health response to COVID-19;Budd;Nat Med,2020
3. Department of Economic and Social affairs UN . The need for data innovations in the time of COVID-19. In: Sustainable Development Goals. 2020. Available: https://unstats.un.org/sdgs/report/2020/the-need-for-data-innovations-in-the-time-of-COVID-19/ [accessed 9 2021].
4. Effective dashboard design;Janes;Cutter IT Journal,2013
5. Kirk Andy . Data visualisation: a Handbook for data driven design. 2nd ed. London: SAGE, 2019.