COVID-19 pandemic is the global health crisis of our time. A recent study has found that the virus can remain viable in air for multiple hours, thus the spread of virus can be affected by wind conditions such as wind speed and direction. Therefore, this study aims to analyze the impact of wind conditions on COVID-19 pandemic in Jakarta, Indonesia. The wind parameters were evaluated using wind roses analysis to estimate the direction of spread of virus. The effect of meteorological factors such as wind speed, temperature, sunshine hours, rainfall and humidity on COVID-19 cases was examined using Spearman correlation test. Result of study reveals that a low wind speed is significantly correlated with a higher COVID-19 cases (r = −0.314; p < 0.05). Similarly, low temperatures and sunshine hours are correlated with a higher COVID-19 cases (r = −0.447; p < 0.01, r = −0.362; p < 0.05, respectively). However, there are not significant linear correlations between humidity and rainfall with COVID-19 cases (p > 0.05). In addition, wind rose diagrams indicate that the highest COVID-19 cases fits in with wind direction blows. In study area, the dominant wind direction blows to the Southeast and East parts of the area with wind speed value is low in range from 3.60 to 5.70 m/s. In conclusion, low wind speed is a contributor to increase COVID-19 cases.

COVID-19 大流行是我们这个时代的全球健康危机。最近的一项研究发现，病毒可以在空气中存活数小时，因此病毒的传播会受到风速和风向等风力条件的影响。因此，本研究旨在分析风况对印度尼西亚雅加达 COVID-19 大流行的影响。使用风玫瑰分析评估风参数，以估计病毒传播的方向。采用 Spearman 相关检验检验风速、温度、日照时数、降雨量和湿度等气象因素对 COVID-19 病例的影响。研究结果表明，低风速与较高的 COVID-19 病例显着相关（r  = -0.314；p  < 0.05）。同样，低温和日照时间与较高的 COVID-19 病例相关（分别为r  = -0.447；p  < 0.01；r  = -0.362；p  < 0.05）。然而，湿度和降雨量与 COVID-19 病例之间不存在显着的线性相关性 ( p  > 0.05)。此外，风玫瑰图表明，最高的 COVID-19 病例与风向相符。研究区主导风向为东南部和东部，风速值较低，为3.60～5.70 m/s。总之，低风速是导致 COVID-19 病例增加的一个因素。