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气象参数对喀麦隆北部流行流感病毒季节性的影响。

Influence of meteorological parameters in the seasonality of influenza viruses circulating in Northern Cameroon.

机构信息

Centre Pasteur of Cameroon, Yaounde, Cameroon.

University of Yaoundé 1, Yaounde, Cameroon.

出版信息

Influenza Other Respir Viruses. 2019 Mar;13(2):158-165. doi: 10.1111/irv.12612. Epub 2018 Dec 17.

Abstract

BACKGROUND

Several studies have demonstrated the role of meteorological parameters in the seasonality of influenza viruses in tropical and subtropical regions, most importantly temperature, humidity, and rainfall.

OBJECTIVES

This study aimed to describe the influence of meteorological parameters in the seasonality of influenza viruses in Northern Cameroon, a region characterized by high temperatures.

METHODS

This was a retrospective study performed in Garoua Cameroon from January 2014 to December 2016. Monthly proportions of confirmed influenza cases from six sentinel sites were considered as dependent variables, whereas monthly values of mean temperature, average relative humidity, and accumulated rainfall were considered as independent variables. A vector error correction model was used to determine the relationship between influenza activity and the meteorological variables.

RESULTS AND CONCLUSION

Analysis showed that there was a statistically significant association between overall influenza activity and influenza A activity with respect to average relative humidity. A unit increase in humidity within a given month leads to more than 85% rise in the overall influenza and influenza A activity 2 months later. Meanwhile, none of the three meteorological variables could explain influenza B activity. This observation is essential in filling the gap of knowledge and could help in the prevention and control strategies to strengthen influenza surveillance program in Cameroon.

摘要

背景

多项研究表明,气象参数在热带和亚热带地区流感病毒的季节性方面起着重要作用,其中最重要的参数包括温度、湿度和降雨量。

目的

本研究旨在描述在喀麦隆北部,一个以高温为特征的地区,气象参数对流感病毒季节性的影响。

方法

这是一项在喀麦隆加鲁阿进行的回顾性研究,时间跨度为 2014 年 1 月至 2016 年 12 月。将来自六个监测点的确诊流感病例的月度比例作为因变量,而将月平均温度、平均相对湿度和累计降雨量作为自变量。采用向量误差修正模型来确定流感活动与气象变量之间的关系。

结果与结论

分析表明,流感总体活动以及 A 型流感活动与平均相对湿度之间存在统计学显著关联。在给定月份内,湿度每增加一个单位,将导致 2 个月后流感和 A 型流感活动增加超过 85%。同时,这三个气象变量均无法解释 B 型流感活动。这一观察结果对于填补知识空白至关重要,并有助于加强喀麦隆的流感监测计划的预防和控制策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4547/6379661/ac0177d86b24/IRV-13-158-g001.jpg

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