ANALYSIS of VULNERABILITY and SPATIO-TEMPORAL DISTRIBUTION TOWARD the SEVERITY LEVEL of COVID-19 in BENGKULU, INDONESIA
Dessy Triana, Riry Ambarsarie, Utari Hartati Suryani, Nikki Aldi Massardi, Mardhatillah Sariyanti, Enny Nugraheni, Debie Rizqoh · European Journal of Molecular & Clinical Medicine · 2021
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 spatio-temporal analysis, disease and health mapping, geographic dimensions which can be the basis for decision making in an area