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Meteorological impacts on the incidence of COVID-19 in the U.S.

机译:对美国Covid-19发病率的气象影响

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Since the World Health Organization has declared the current outbreak of the novel coronavirus (COVID-19) a global pandemic, some have been anticipating that the mitigation could happen in the summer like seasonal influenza, while medical solutions are still in a slow progress. Experimental studies have revealed a few evidences that coronavirus decayed quickly under the exposure of heat and humidity. This study aims to carry out an epidemiological investigation to establish the association between meteorological factors and COVID-19 in high risk areas of the United States (U.S.). We analyzed daily new confirmed cases of COVID-19 and seven meteorological measures in top 50 U.S. counties with the most accumulative confirmed cases from March 22, 2020 to April 22, 2020. Our analyses indicate that each meteorological factor and COVID-19 more likely have a nonlinear association rather than a linear association over the wide ranges of temperature, relative humidity, and precipitation observed. Average temperature, minimum relative humidity, and precipitation were better predictors to address the meteorological impact on COVID-19. By including all the three meteorological factors in the same model with their lagged effects up to 3 days, the overall impact of the average temperature on COVID-19 was found to peak at 68.45 degrees F and decrease at higher degrees, though the overall relative risk percentage (RR %) reduction did not become significantly negative up to 85 degrees F. There was a generally downward trend of RR % with the increase of minimum relative humidity; nonetheless, the trend reversed when the minimum relative humidity exceeded 91.42%. The overall RR % of COVID-19 climbed to the highest level of 232.07% (95% confidence interval = 199.77, 267.85) with 1.60 inches of precipitation, and then started to decrease. When precipitation exceeded 1.85 inches, its impact on COVID-19 became significantly negative. Our findings alert people to better have self-protection during the pandemic rather than expecting that the natural environment can curb coronavirus for human beings.
机译:由于世界卫生组织宣布目前新的冠状病毒(Covid-19)全球大流行的爆发,有些人一直在预期,减缓可能在夏季发生,例如季节性流感,而医疗解决方案仍在缓慢进展。实验研究表明,冠状病毒在热和湿度的暴露下迅速衰减了一些证据。本研究旨在开展流行病学调查,以确定在美国高风险地区气象因素和Covid-19之间的关系。我们分析了每日新确诊的Covid-19和七个美国县的七个气象措施,与2020年3月22日至2020年3月22日至4月22日最累计的确认案件。我们的分析表明,每个气象因素和Covid-19更可能有非线性关联而不是在宽温度,相对湿度和沉淀范围内的线性关联。平均温度,最小相对湿度和降水是更好的预测因子,以解决对Covid-19的气象影响。通过将所有三种模型中的所有三种气象因素纳入滞后的效应,长达3天,发现Covid-19的平均温度的整体影响在68.45摄氏度下达到峰值,并且在较高程度下减少,但整体相对风险减少百分比(RR%)未能显着为85°F。最小相对湿度的增加,RR%的普遍下降趋势;尽管如此,当最小相对湿度超过91.42%时,趋势逆转。 Covid-19的总体RR%攀升至最高水平的232.07%(95%置信区间= 199.77,267.85),降水1.60英寸,然后开始减少。当降水超过1.85英寸时,它对Covid-19的影响变得显着消极。我们的调查结果提醒人们在大流行期间更好地自我保护,而不是期待自然环境可以为人类抑制冠状病毒。

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