This work is intended to examine the effects of Bangladesh's subtropical climate on coronavirus diseases 2019 (COVID-19) transmission. Secondary data for daily meteorological variables and COVID-19 cases from March 8 to May 31, 2020, were collected from the Bangladesh Meteorological Department (BMD) and Institute of Epidemiology, Disease Control and Research (IEDCR). Distributed lag nonlinear models, Pearson’s correlation coefficient and wavelet transform coherence were employed to appraise the relationship between meteorological factors and COVID-19 cases. Significant coherence between meteorological variables and COVID-19 at various time–frequency bands has been identified in this work. The results showed that the minimum (MinT) and mean temperature, wind speed (WS), relative humidity (RH) and absolute humidity (AH) had a significant positive correlation while contact transmission had no direct association with the number of COVID-19 confirmed cases. When the MinT was 18 °C, the relative risk (RR) was the highest as 1.04 (95%CI 1.01–1.06) at lag day 11. For the WS, the highest RR was 1.03 (95% CI 1.00–1.07) at lag day 0, when the WS was 21 km/h. When RH was 46%, the highest RR was 1.00 (95% CI 0.98–1.01) at lag day 14. When AH was 23 g/m3, the highest RR was 1.05 (95% CI 1.01–1.09) at lag day 14. We found a profound effect of meteorological factors on SARS-CoV-2 transmission. These results will assist policymakers to know the behavioral pattern of the SARS-CoV-2 virus against meteorological indicators and thus assist to devise an effective policy to fight against COVID-19 in Bangladesh.

中文翻译：

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气象因素对孟加拉国 COVID-19 病例的影响


这项工作旨在研究孟加拉国的亚热带气候对 2019 年冠状病毒病 (COVID-19) 传播的影响。 2020 年 3 月 8 日至 5 月 31 日每日气象变量和 COVID-19 病例的二次数据是从孟加拉国气象部门 (BMD) 和流行病学、疾病控制和研究所 (IEDCR) 收集的。采用分布式滞后非线性模型、皮尔逊相关系数和小波变换相干性来评估气象因素与COVID-19病例之间的关系。这项工作已确定不同时间频段的气象变量与 COVID-19 之间存在显着的一致性。结果显示，最低气温（MinT）与平均气温、风速（WS）、相对湿度（RH）和绝对湿度（AH）呈显着正相关，而接触传播与COVID-19确诊人数没有直接关系。案例。当 MinT 为 18 °C 时，相对风险 (RR) 在滞后第 11 天最高，为 1.04 (95% CI 1.01–1.06)。对于 WS，最高 RR 在滞后第 11 天为 1.03 (95% CI 1.00–1.07)。滞后日 0，此时 WS 为 21 km/h。当 RH 为 46% 时，滞后第 14 天的最高 RR 为 1.00 (95% CI 0.98–1.01)。当 AH 为 23 g/m3 时，滞后第 14 天的最高 RR 为 1.05 (95% CI 1.01–1.09)。我们发现气象因素对 SARS-CoV-2 传播具有深远影响。这些结果将帮助决策者了解 SARS-CoV-2 病毒相对于气象指标的行为模式，从而有助于制定有效的政策来对抗孟加拉国的 COVID-19。