Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka
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.
Auteur ou autrice(s) : Perera, Rumali, Weligampola, Harshana, Marikkar, Umar, Sritharan, Suren, Godaliyadda, Roshan, Ekanayake, Parakrama, Herath, Vijitha, Rathnayake, Anuruddhika, Dharmaratne, Samath
Télécharger le PDF
Langage : Anglais