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气候在新冠病毒传播中起作用吗?——澳大利亚的观点。

Does Climate Play Any Role in COVID-19 Spreading?-An Australian Perspective.

机构信息

School of Engineering, Information Technology and Physical Sciences, Federation University Australia, Mt Helen Campus, Ballarat, VIC 3353, Australia.

Department of Geology, University of Johannesburg, Johannesburg 2006, South Africa.

出版信息

Int J Environ Res Public Health. 2021 Aug 28;18(17):9086. doi: 10.3390/ijerph18179086.

Abstract

Compared to other countries, the COVID-19 pandemic did not severely affect Australia as measured by total deaths until mid-2021. Though a substantial number of daily confirmed cases (up to 698) were reported during the second wave, most of them were from the southern state of Victoria. This study examined the possible correlations between climate variables and the number of daily confirmed COVID-19 cases in Victoria, Australia, from 25 January to 31 October 2020. Appropriate regression models and cross-correlation diagnostics were used to examine the effect of temperature, rainfall, solar exposure, and ultraviolet index (UVI) with the number of daily confirmed cases. Significant positive associations were identified for solar exposure and maximum and average UVI for confirmed cases one and 19 days later. Negative associations for these variables were found for confirmed cases five days later. Minimum temperature had a significant negative correlation one day later and a positive effect 21 days later. No significant correlation was found for maximum temperature and rainfall. The most significant relationships were found for confirmed cases 19 days after changes in the meteorological variables. A 1% increase in solar exposure, maximum UVI, and average UVI was associated with a 0.31% (95% CI: 0.13 to 0.51), 0.71% (95% CI: 0.43 to 0.98), and 0.63% (95%CI: 0.20 to 1.61) increase 19 days later in the number of confirmed cases, respectively. The implications of these results can be used in the public health management of any possible future events in Australia. It also highlights the significance of considering the climatic variables and seasonality in all kinds of epidemics and pandemics.

摘要

与其他国家相比,截至 2021 年年中,澳大利亚的 COVID-19 大流行在总死亡人数方面并未受到严重影响。尽管在第二波疫情期间报告了相当数量的每日确诊病例(高达 698 例),但大多数病例来自南部的维多利亚州。本研究调查了 2020 年 1 月 25 日至 10 月 31 日期间澳大利亚维多利亚州每日确诊 COVID-19 病例数与气候变量之间的可能相关性。适当的回归模型和交叉相关诊断用于检查温度、降雨量、太阳辐射和紫外线指数 (UVI) 与每日确诊病例数的关系。结果表明,太阳辐射、最大和平均 UVI 与 1 天和 19 天后的确诊病例数呈显著正相关。5 天后,这些变量与确诊病例数呈负相关。最低温度在一天后与确诊病例呈显著负相关,21 天后呈正相关。最高温度和降雨量与确诊病例数无显著相关性。在气象变量变化后 19 天的确诊病例中,发现了最显著的关系。太阳辐射、最大 UVI 和平均 UVI 增加 1%,与 19 天后确诊病例数分别增加 0.31%(95%CI:0.13 至 0.51)、0.71%(95%CI:0.43 至 0.98)和 0.63%(95%CI:0.20 至 1.61)。这些结果的意义可以用于澳大利亚未来任何可能事件的公共卫生管理。它还强调了在各种传染病和大流行中考虑气候变量和季节性的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c980/8431748/b0e7c59578ab/ijerph-18-09086-g001.jpg

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