Bayesian network-based spatial predictive modelling reveals COVID-19 transmission dynamics in Eswatini

• Published in: Spatial information research (Online) Vol. 30; no. 1; pp. 183 - 194
• Main Authors: Dlamini, Wisdom M. D., Simelane, Sabelo P., Nhlabatsi, Nhlanhla M.
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.02.2022; 대한공간정보학회
• Subjects: Database Management; Earth and Environmental Science; Geographical Information Systems/Cartography; Geography; Remote Sensing/Photogrammetry; Spatial Information Research for COVID-19; 공학일반; COVID-19; Eswatini; Risk mapping; Spatial predictive modelling; Bayesian network

The first case of COVID-19 in Eswatini was first reported in March 2020, posing an unprecedented challenge to the country’s health and socio-economic systems. Using geographic information system (GIS) data comprising 15 socioeconomic, demographic and environmental variables, we model the spatial var...