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2010-2017 年中国不同地区温度与流感活动的相关性研究。

Association between Temperature and Influenza Activity across Different Regions of China during 2010-2017.

机构信息

School of Public Health (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.

School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

出版信息

Viruses. 2023 Feb 21;15(3):594. doi: 10.3390/v15030594.

DOI:10.3390/v15030594
PMID:36992303
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10054176/
Abstract

Influenza causes a significant disease burden as an acute respiratory infection. Evidence suggests that meteorological factors can influence the spread of influenza; however, the association between these factors and influenza activity remains controversial. In this study, we investigated the impact of temperature on influenza across different regions of China based on the meteorological data and influenza data from 554 sentinel hospitals in 30 provinces and municipalities in China from 2010 to 2017. A distributed lag nonlinear model (DLNM) was used to analyze the exposure lag response of daily mean temperatures to the risk of influenza-like illness (ILI), influenza A (Flu A), and influenza B (Flu B). We found that in northern China, low temperatures increased the risk of ILI, Flu A, and Flu B, while in central and southern China, both low and high temperatures increased the risk of ILI and Flu A, and only low temperatures increased the risk of Flu B. This study suggests that temperature is closely associated with the influenza activity in China. Temperature should be integrated into the current public health surveillance system for highly accurate influenza warnings and the timely implementation of disease prevention and control measures.

摘要

流感是一种急性呼吸道传染病,会造成严重的疾病负担。有证据表明,气象因素会影响流感的传播;然而,这些因素与流感活动之间的关联仍存在争议。本研究基于中国 30 个省、直辖市的 554 家哨点医院 2010 至 2017 年的流感数据和气象数据,在中国不同地区调查了温度对流感的影响。采用分布滞后非线性模型(DLNM)分析了日平均温度对流感样病例(ILI)、甲型流感(Flu A)和乙型流感(Flu B)发病风险的暴露滞后反应。结果表明,在中国北方,低温会增加 ILI、Flu A 和 Flu B 的发病风险,而在中国中部和南部,低温和高温都会增加 ILI 和 Flu A 的发病风险,仅低温会增加 Flu B 的发病风险。本研究表明,温度与中国的流感活动密切相关。应将温度纳入当前的公共卫生监测系统,以实现对流感的高度准确预警,并及时采取疾病防控措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/9d71104d7099/viruses-15-00594-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/23c3892ea702/viruses-15-00594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/00f77f914c40/viruses-15-00594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/fa0eb49fee8f/viruses-15-00594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/81c03601d872/viruses-15-00594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/9d71104d7099/viruses-15-00594-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/23c3892ea702/viruses-15-00594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/00f77f914c40/viruses-15-00594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/fa0eb49fee8f/viruses-15-00594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/81c03601d872/viruses-15-00594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d79b/10054176/9d71104d7099/viruses-15-00594-g005.jpg

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