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首页> 外文期刊>Journal of Health and Environmental Research >Spatiotemporal Analysis of Weather Effects on COVID-19 Pandemic Transmissions in Select US Counties
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Spatiotemporal Analysis of Weather Effects on COVID-19 Pandemic Transmissions in Select US Counties

机译：选择美国县的Covid-19大流行传输天气效应的时尚分析

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The COVID-19 pandemic has become a global crisis with enormous uncertainty. This study aims to explore what role weather plays in pandemic transmission. We hypothesize that weather conditions (temperature, wind speed, and precipitation) significantly influence the transmissibility of the disease and the number of infected people. We tested this hypothesis by analyzing weather variable in moving-average-windows that varied from 1 to 30 days, and daily new confirmed cases observed from 23 counties in the United States, during the period of January 22 to August 19, 2020. We found consistent results that the moving average temperature over 10 days (T_(avg10)), the moving average wind speed and the moving average amount of precipitation over 28 days (W_(avg28), P_(avg28)) were the meteorological parameters most closely linked to the outbreak and growth of new cases of COVID-19 in the US. The correlation statistics differed regionally: (1) temperature is negatively correlated to the outbreak of COVID-19 in the Northeastern US and positively in other areas; (2) wind speed is negatively correlated to the COVID-19 pandemic in the Southeastern US while positively in other areas; and (3) precipitation holds a positive correlation on the east coast of the US and a negative one on the west coast. Our results suggest that meteorological factors may play a significant role in COVID-19 pandemic transmission in the US and should be considered by policy makers and crisis administrators.
机译：Covid-19大流行已成为具有巨大不确定性的全球危机。本研究旨在探索大流行传输的天气扮演什么。我们假设天气条件（温度，风速和降水）显着影响疾病的传播性和感染者的数量。我们通过分析从1到30天变化的移动平均窗口中的天气变量来测试这一假设，以及在2020年1月22日至8月19日至8月19日期间观察到的日常新的确认案件。我们发现一致的结果，移动平均温度超过10天（T_（AVG10）），移动平均风速和28天（W_（AVG28），P_（AVG28））的移动平均沉淀量是最紧密相关的气象参数对美国Covid-19新案例的爆发和增长。相关统计区别不同：（1）温度与美国东北部的Covid-19爆发的温度与其他地区积极相关; （2）风速与美国东南部的Covid-19大流行呈负相关，而在其他地区积极地相关; （3）降水在美国东海岸和西海岸的一个负面存在的正相关。我们的研究结果表明，气象因素可能在美国Covid-19大流行传播中发挥重要作用，并应由决策者和危机管理者审议。

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