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.