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低湿度环境下德尔塔变异株引发的 COVID-19 疫情防控挑战:澳大利亚悉尼的一项观察性研究。

Challenges in the control of COVID-19 outbreaks caused by the delta variant during periods of low humidity: an observational study in Sydney, Australia.

机构信息

Sydney School of Veterinary Science, The University of Sydney, Camden, NSW, Australia.

School of Public Health, Fudan University, Shanghai, China.

出版信息

Infect Dis Poverty. 2021 Dec 23;10(1):139. doi: 10.1186/s40249-021-00926-0.

Abstract

BACKGROUND

Since the appearance of severe acute respiratory coronavirus 2 (SARS-CoV-2) and the coronavirus disease 2019 (COVID-19) pandemic, a growing body of evidence has suggested that weather factors, particularly temperature and humidity, influence transmission. This relationship might differ for the recently emerged B.1.617.2 (delta) variant of SARS-CoV-2. Here we use data from an outbreak in Sydney, Australia that commenced in winter and time-series analysis to investigate the association between reported cases and temperature and relative humidity.

METHODS

Between 16 June and 10 September 2021, the peak of the outbreak, there were 31,662 locally-acquired cases reported in five local health districts of Sydney, Australia. The associations between daily 9:00 am and 3:00 pm temperature (°C), relative humidity (%) and their difference, and a time series of reported daily cases were assessed using univariable and multivariable generalized additive models and a 14-day exponential moving average. Akaike information criterion (AIC) and the likelihood ratio statistic were used to compare different models and determine the best fitting model. A sensitivity analysis was performed by modifying the exponential moving average.

RESULTS

During the 87-day time-series, relative humidity ranged widely (< 30-98%) and temperatures were mild (approximately 11-17 °C). The best-fitting (AIC: 1,119.64) generalized additive model included 14-day exponential moving averages of 9:00 am temperature (P < 0.001) and 9:00 am relative humidity (P < 0.001), and the interaction between these two weather variables (P < 0.001). Humidity was negatively associated with cases no matter whether temperature was high or low. The effect of lower relative humidity on increased cases was more pronounced below relative humidity of about 70%; below this threshold, not only were the effects of humidity pronounced but also the relationship between temperature and cases of the delta variant becomes apparent.

CONCLUSIONS

We suggest that the control of COVID-19 outbreaks, specifically those due to the delta variant, is particularly challenging during periods of the year with lower relative humidity and warmer temperatures. In addition to vaccination, stronger implementation of other interventions such as mask-wearing and social distancing might need to be considered during these higher risk periods.

摘要

背景

自严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)出现以及 2019 年冠状病毒病(COVID-19)大流行以来,越来越多的证据表明,天气因素,特别是温度和湿度,会影响传播。这种关系可能因 SARS-CoV-2 最近出现的 B.1.617.2(德尔塔)变体而有所不同。在这里,我们利用澳大利亚悉尼爆发的冬季数据和时间序列分析来调查报告病例与温度和相对湿度之间的关联。

方法

在 2021 年 6 月 16 日至 9 月 10 日期间,也就是疫情爆发的高峰期,澳大利亚悉尼的五个地方卫生区报告了 31662 例本地感染病例。使用单变量和多变量广义加性模型以及 14 天指数移动平均值评估了每日上午 9 点至下午 3 点的温度(°C)、相对湿度(%)及其差值与报告的每日病例时间序列之间的关系。采用赤池信息量准则(AIC)和似然比统计量比较不同模型,并确定最佳拟合模型。通过修改指数移动平均值进行了敏感性分析。

结果

在 87 天的时间序列中,相对湿度范围很广(<30-98%),温度适中(约 11-17°C)。最佳拟合(AIC:1119.64)广义加性模型包括 9 点温度(P<0.001)和 9 点相对湿度(P<0.001)的 14 天指数移动平均值,以及这两个天气变量之间的相互作用(P<0.001)。无论温度高低,湿度与病例均呈负相关。在相对湿度低于约 70%的情况下,相对湿度降低对增加病例的影响更为明显;低于这一门槛,不仅湿度的影响明显,而且德尔塔变体病例与温度之间的关系也变得明显。

结论

我们建议,在相对湿度较低和温度较高的年份,特别是在 Delta 变体引发的 COVID-19 爆发期间,控制疫情特别具有挑战性。除了接种疫苗之外,在这些高风险期间可能还需要考虑加强其他干预措施,例如戴口罩和保持社交距离。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0a8/8697463/c4f912f6a8de/40249_2021_926_Fig1_HTML.jpg

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