Spatial distribution of COVID-19 cases, epidemic spread rate, spatial pattern, and its correlation with meteorological factors during the first to the second waves

• DOI: 10.1016/j.jiph.2021.07.010
• Publication Date: 2021-07-15T16:53:26Z
• Authors: Muhammad Rendana; Wan Mohd Razi Idris; Sahibin Abdul Rahim
• Keywords: Spatial correlation

Currently, many countries all over the world are facing second wave of COVID-19. Therefore, this study aims to analyze spatial distribution COVID-19 cases, epidemic spread rate, pattern during first waves in South Sumatra Province Indonesia. This used geographical information system (GIS) software map cases and rate. The autocorrelation was carried out using Moran's I, while Pearson correlation examining relationship between meteorological factors Most infected areas direction virus were predicted wind rose analysis. results revealed that rapidly from August 1 December 1, 2020. highest rate observed Palembang district its peripheral (dense urban areas), lowest found eastern southern parts (remote areas). characteristic exhibited a negative random distribution. Air temperature, speed, precipitation have contributed significant impact on high wave. In summary, offers new insight for arranging control prevention strategies against potential strike.