European Journal of Molecular & Clinical Medicine

Abstract

The pandemic caused by Covid-19 has had a huge effect in various parts of the world. The
global situation of COVID-19 as of January 20th, 2021 were 99.864.391 cases with a death rate of 2.2%
with 183 countries infected by local transmission. The COVID-19 situation in Indonesia as of January
27th, 2021 were 1.024.298 cases with a death rate of 2.8%, occurred within 182 regions by local
transmission. Bengkulu Province is one of the areas experiencing local transmission of Covid-19 since
March 31st, 2020 and this condition continues to develop. This study aimed to determine the regional
vulnerability and temporal distribution of Covid-19 in Bengkulu. There were 956 confirmed cases of
Covid-19 within the period of July-October 2020. The overlay results between clustering analysis and
population density were gathered by using the Kernel Density Estimation method and ArcGIS software
version 10.3. The area that has a high risk of contracting the Covid-19 disease is Bengkulu City. The
use of technology-based information systems is indispensable in the digital era, including spatiotemporal
analysis, disease and health mapping, geographic dimensions which can be the basis for
decision making in an area.