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气候与 COVID-19 传播:非洲的一项横断面研究。

Climate and COVID-19 transmission: a cross-sectional study in Africa.

机构信息

Laboratoire Eaux, Hydro-Systèmes et Agriculture (LEHSA), Institut International d'Ingénierie de l'Eau et de l'Environnement (2iE), Ouagadougou, Burkina Faso.

Laboratoire Eco-Matériaux et Habitat Durable (LEMHaD), Institut International d'Ingénierie de l'Eau et de l'Environnement (2iE), Ouagadougou, Burkina Faso.

出版信息

Sci Rep. 2023 Oct 31;13(1):18702. doi: 10.1038/s41598-023-46007-0.

DOI:10.1038/s41598-023-46007-0
PMID:37907735
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10618194/
Abstract

The role of climate in the Coronavirus disease 2019 (COVID-19) transmission appears to be controversial, as reported in earlier studies. In Africa, the subject is poorly documented. In this study, over the period from January 1st, 2020 to September 31, 2022, the daily variations in cumulative confirmed cases of COVID-19 for each African country (54 countries) are modelled through time-series-based approaches and using meteorological factors as covariates. It is suggested from the findings that climate plays a role in COVID-19 transmission since at least one meteorological factor is found to be significant in 32 countries. In decreasing order, the most often occurring meteorological factors are dewpoint temperature, relative and absolute humidity, average temperature and solar radiation. Most of these factors show a lagged effect with confirmed cases (between 0 and 28 days). Also, some meteorological factors exhibit contrasting effects on COVID-19 transmission, resulting in both positive and negative association with cumulative cases, therefore highlighting the complex nature of the interplay between climate and COVID-19 transmission.

摘要

气候在 2019 年冠状病毒病(COVID-19)传播中的作用似乎存在争议,早期研究就有报道。在非洲,这方面的研究记录很少。本研究中,通过时间序列方法,利用气象因素作为协变量,对 2020 年 1 月 1 日至 2022 年 9 月 31 日期间每个非洲国家(54 个国家)累计确诊 COVID-19 病例的日变化进行建模。研究结果表明,气候在 COVID-19 的传播中起作用,因为在 32 个国家中至少有一个气象因素是显著的。出现频率按降序排列的气象因素依次为露点温度、相对湿度和绝对湿度、平均温度和太阳辐射。这些因素大多与确诊病例存在滞后效应(0 至 28 天)。此外,一些气象因素对 COVID-19 的传播表现出相反的影响,与累计病例呈正相关或负相关,因此突出了气候与 COVID-19 传播之间相互作用的复杂性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/69f5c5057b6f/41598_2023_46007_Fig8_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/69f5c5057b6f/41598_2023_46007_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/af825b3c5066/41598_2023_46007_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/4b7f32c07674/41598_2023_46007_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/270765e214de/41598_2023_46007_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/656832433342/41598_2023_46007_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/74a057efb5b4/41598_2023_46007_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/9d827b36957b/41598_2023_46007_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/e445bfa39750/41598_2023_46007_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90bd/10618194/69f5c5057b6f/41598_2023_46007_Fig8_HTML.jpg

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本文引用的文献

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What are the Effects of Climate Variables on COVID-19 Pandemic? A Systematic Review and Current Update.气候变量对新冠疫情有何影响?系统综述与最新进展
Adv Biomed Res. 2023 Feb 25;12:33. doi: 10.4103/abr.abr_145_21. eCollection 2023.
2
Association of the corona virus (Covid-19) epidemic with environmental risk factors.冠状病毒(Covid-19)疫情与环境风险因素的关联。
Environ Sci Pollut Res Int. 2023 May;30(21):60314-60325. doi: 10.1007/s11356-023-26647-5. Epub 2023 Apr 6.
3
Understanding the COVID-19 pandemic prevalence in Africa through optimal feature selection and clustering: evidence from a statistical perspective.
通过优化特征选择和聚类来了解非洲的COVID-19大流行情况:来自统计视角的证据。
Environ Dev Sustain. 2022 Aug 30:1-29. doi: 10.1007/s10668-022-02646-3.
4
Usage of Compartmental Models in Predicting COVID-19 Outbreaks.房室模型在预测 COVID-19 爆发中的应用。
AAPS J. 2022 Sep 2;24(5):98. doi: 10.1208/s12248-022-00743-9.
5
Correlation between COVID-19 and weather variables: A meta-analysis.新型冠状病毒肺炎与气象变量之间的相关性:一项荟萃分析。
Heliyon. 2022 Aug 18;8(8):e10333. doi: 10.1016/j.heliyon.2022.e10333. eCollection 2022 Aug.
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Air pollution and meteorological variables' effects on COVID-19 first and second waves in Spain.空气污染和气象变量对西班牙新冠疫情第一波和第二波的影响。
Int J Environ Sci Technol (Tehran). 2023;20(3):2869-2882. doi: 10.1007/s13762-022-04190-z. Epub 2022 May 4.
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Evaluation of the effects of meteorological factors on COVID-19 prevalence by the distributed lag nonlinear model.基于分布滞后非线性模型评估气象因素对 COVID-19 发病率的影响。
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8
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