ABSTRACT
COVID-19 is a pandemic that spreads very fast. Until now COVID-19 has spread in 207 countries. This study aimed to analyze the correlation between weather factors and COVID-19 in West Java Indonesia. This study used a secondary data analysis of weather data from the Meteorological Department of the Republic of Indonesia and surveillance of COVID-19 from the Ministry of Health of the Republic of Indonesia. The weather has five components including minimum temperature (0C) maximum temperature (0C) temperature average (0C) humidity (%) amount of rainfall (mm) and wind speed (m/s). Data were analyzed using Spearman’s rank correlation test. Result: Of the weather components only temperature average (r = 0.545;p 0.001) and humidity (r = -0.500;p 0.001) significantly correlated with COVID-19. The results can be used to decrease the pandemic of COVID-19 in Indonesia.
ABSTRACT
This study aims to analyze the correlation between weather and covid-19 pandemic in Jakarta Indonesia. This study employed a secondary data analysis of surveillance data of covid-19 from the Ministry of Health of the Republic of Indonesia and weather from the Meteorological Department of the Republic of Indonesia. The components of weather include minimum temperature (°C), maximum temperature (°C), temperature average (°C), humidity (%), and amount of rainfall (mm). Spearman-rank correlation test was used for data analysis. Among the components of the weather, only temperature average (°C) was significantly correlated with covid-19 pandemic (r = 0.392; p < .01). The finding serves as an input to reduce the incidence rate of covid-19 in Indonesia.