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Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka

Flag for Canada International Development Research Centre on March 15th 2022
Perera, Rumali, Weligampola, Harshana, Marikkar, Umar, Sritharan, Suren, Godaliyadda, Roshan, Ekanayake, Parakrama, Herath, Vijitha, Rathnayake, Anuruddhika and Dharmaratne, Samath
Using data from the Epidemiological Department of Sri Lanka, a cluster analysis was carried out based on COVID-19 data and demographic data of districts, towards developing a mathematical model that can identify and describe socio-economic factors related to pandemic measures. Population and population density, monthly expenditure, and education level are suggested as main factors for policy makers consideration. Findings can support future evidence-based COVID-19 policies, and further utilized as a foundation for other epidemiological models. A challenge in the study was the presumed disparity between actual COVID-19 cases and observed COVID-19 cases, thereby depicting an inaccurate measure of COVID-19 severity.

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