Objective

Weather parameters such as temperature, humidity, air quality index and wind speed are the important factors influencing the infectious diseases like Covid-19. Therefore, this study aims to discuss and analyse the relation between weather parameters and the spread of Coronavirus disease (Covid-19) from the perspective of Bangladesh.

Methods

Correlation among weather parameters and infection and death rate were established using several graphical plots and wind rose diagrams, Kendall and Spearman correlation and appropriate discussion with relevancy and reference. Information presented in this study has been extracted from 1st April 2020 to 30th December 2020.

Results

Analyses show that with the decrease in temperature, infection rate increased significantly. Also, the number of infection increases as wind speed increases. As the absolute humidity rate of Bangladesh is almost constant; therefore, the authors are unable to predict any relation of absolute humidity with the number of infection. Further, the prediction for the number of infections based on the wind direction for the several regions of seven divisions in Bangladesh is vulnerable for the upcoming several months.

Conclusion

This study has analysed the dependency of weather parameters on a number of infections along with predicting the upcoming danger zones.

中文翻译：

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天气相关参数对 Covid-19 大流行传播的影响——孟加拉国的情景

客观的

温度、湿度、空气质量指数和风速等天气参数是影响Covid-19等传染病的重要因素。因此，本研究旨在从孟加拉国的角度讨论和分析天气参数与冠状病毒病（Covid-19）传播之间的关系。

方法

使用几个图表和风玫瑰图、Kendall 和 Spearman 相关性以及具有相关性和参考性的适当讨论，建立了天气参数与感染率和死亡率之间的相关性。本研究中提供的信息摘自 2020 年 4 月 1 日至 2020 年 12 月 30 日。

结果

分析表明，随着气温的降低，感染率明显上升。此外，随着风速的增加，感染人数也会增加。由于孟加拉国的绝对湿度几乎恒定；因此，作者无法预测绝对湿度与感染数量之间的任何关系。此外，在接下来的几个月中，根据风向预测孟加拉国七个部门的几个地区的感染人数很容易受到影响。

结论

这项研究分析了天气参数对许多感染的依赖性，并预测了即将到来的危险区域。