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首页> 外文期刊>Frontiers in Public Health >Do Humidity and Temperature Impact the Spread of the Novel Coronavirus?
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Do Humidity and Temperature Impact the Spread of the Novel Coronavirus?

机译：湿度和温度会影响新的冠状病毒的传播吗？

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Various reports have drawn contradictory conclusions even when using the similar meteorologicaldata and epidemic data collected in cities in China from January to April 2020. For example, Liuet al. (1) analyzed meteorological data of 30 cities in China and suggested that low temperature,mild diurnal temperatures, and low humidity likely aid the transmission of novel coronavirusdisease 2019 (COVID-19). Shi et al. (2) also suggested that the incidence of COVID-19 decreaseswith an increase in temperature. Qi et al. (3) further showed that both temperature and humiditywere negative associated with COVID-19. Using the similar meteorological data of 122 cities inChina, however, Xie and Zhu (4) found no evidence to support that theory that the numberof COVID-19 cases would reduce when the weather became warmer. They even showed apositive correlation between temperature and COVID-19 cases in that 1?C rise in the meantemperature (when 3?C) was associated with a 4.9% increase in the daily confirmed cases.Also, with meteorological data in China, Yao et al. (5) demonstrated that neither ambienttemperature nor ultraviolet radiation has a significant impact on the transmission ability ofSARS-CoV-2. For countries outside of China, there are also a large number of contradictoryreports. Bashir et al. (6) found that average temperature, minimum temperature, and air qualitywere significantly associated with the COVID-19 pandemic in New York, USA, although thecorrelations were complex. In Jakarta, Indonesia, Tosepu et al. (7) demonstrated that the averagetemperature was indicated to be significantly correlated with the COVID-19 pandemic. In thecity of Barcelona, Spain, Tobíasa and Molina (8) further indicated that a 1?C increase of maxtemperature reduced a decrease in the incidence rate by 7.5% on the same day. However, also inSpain, Briz-Redóna and Serrano-Arocab (9) found no significant relationship between COVID19 cases and the temperatures. In addition, Jahangiri et al. (10) indicated that the transmissionrate of the COVID-19 exhibited a low sensibility to the changes in the ambient temperaturein Iran.
机译：即使在2020年1月至4月在中国在中国城市收集的类似的血晶目和流行病数据，各种报告也涉及矛盾的结论。例如，Liuet al。 （1）分析了中国30个城市的气象数据，并提出低温，低淡的昼夜温度和低湿度可能有助于新型冠状病血针的传播2019（Covid-19）。 Shi等人。 （2）还建议Covid-19的发病率降低了温度的增加。 Qi等人。 （3）进一步表明，温度和湿度的阴性与Covid-19相关。然而，利用类似于122个城市的史蒂娜的气象数据，然而，谢和朱（4）发现没有证据支持Covid-19案件的数量，当天气变暖时会降低。它们甚至显示出温度和Covid-19之间的正向相关性，在该平均温度（当<3≤C）中的1℃上升（当<3℃）与日常确认案件增加4.9％时。在中国的气象数据中，姚等人。 （5）证明既不是环境温度也不是紫外线辐射对SARS-COV-2的传输能力产生重大影响。对于中国以外的国家，也有很多矛盾的矛盾。 Bashir等人。 （6）发现，虽然阴影是复杂的，但在美国纽约的Covid-19 Pandemery显着相关的平均温度，最低温度和空气质量。在雅加达，印度尼西亚，ToSepu等。 （7）证明了平均温度表明与Covid-19流行显着相关。在巴塞罗那，西班牙，托比亚萨和莫里纳（8）的情况下进一步表明，最高温度的增加了1？C增加了9.5％的发病率下降了7.5％。然而，也是Inshain，Breiz-Redóna和Serrano-Arocab（9）发现Covid19病例与温度之间没有显着的关系。此外，Jahangiri等人。 （10）表示Covid-19的镜像对环境温暖伊朗的变化表现出低的敏感性。

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