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.

中文翻译：

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印度尼西亚雅加达天气与 Covid-19 大流行之间的相关性。

本研究旨在分析印度尼西亚雅加达天气与 covid-19 大流行之间的相关性。本研究对印度尼西亚共和国卫生部的 covid-19 监测数据和印度尼西亚共和国气象局的天气数据进行了二次数据分析。天气的组成部分包括最低气温（°C）、最高气温（°C）、平均气温（°C）、湿度（%）和降雨量（mm）。使用斯皮尔曼等级相关性检验进行数据分析。在天气的组成部分中，只有平均气温 (°C) 与 covid-19 大流行显着相关 (r = 0.392；p < .01)。这一发现可作为降低印度尼西亚 covid-19 发病率的参考。