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分析巴伊亚州阿拉戈因哈斯市气候变量与登革热病例之间的相关性。

Analysis of the correlation between climatic variables and Dengue cases in the city of Alagoinhas/BA.

机构信息

Departamento de Ciências Exatas e da Terra II, Universidade do Estado da Bahia, Alagoinhas, BA, Brasil.

Centro Universitário SENAI CIMATEC, Salvador, BA, Brasil.

出版信息

Sci Rep. 2023 May 9;13(1):7512. doi: 10.1038/s41598-023-34349-8.

DOI:10.1038/s41598-023-34349-8
PMID:37160928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10169194/
Abstract

The Aedes aegypti mosquito is the main vector of dengue and is a synanthropic insect and due to its anthropophilic nature, it has specific reproductive needs. In addition to that, it also needs tropical regions that provide climate-prone conditions that favor vector development. In this article, we propose the cross-correlation analysis between the climatic variables air temperature, relative humidity, weekly average precipitation and dengue cases in the period from 2017 to early 2021 in the municipality of Alagoinhas, Bahia, Brazil. To do so, we apply the trend-free cross-correlation, [Formula: see text], being a generalization of the fluctuation analysis without trend, where we calculate the cross correlation between time series to establish the influence of these variables on the occurrence of dengue disease. The results obtained here were a moderate correlation between relative humidity and the incidence of dengue cases, and a low correlation for relative air temperature and precipitation. However, the predominant factor in the incidence of dengue cases in the city of Alagoinhas is relative humidity and not air temperature and precipitation.

摘要

埃及伊蚊是登革热的主要传播媒介,是一种半栖性昆虫,由于其嗜人性,它有特定的繁殖需求。此外,它还需要提供有利于媒介发展的热带气候条件。在本文中,我们提出了巴西巴伊亚州阿拉戈因哈斯市 2017 年初至 2021 年期间气候变量(空气温度、相对湿度、每周平均降水量)与登革热病例之间的交叉相关分析。为此,我们应用了无趋势交叉相关分析,[公式:见文本],这是一种没有趋势的波动分析的推广,我们在时间序列之间计算交叉相关性,以确定这些变量对登革热疾病发生的影响。这里得到的结果是相对湿度与登革热病例发生率之间存在中度相关性,而相对空气温度和降水量之间相关性较低。然而,在阿拉戈因哈斯市登革热病例发生的主要因素是相对湿度,而不是空气温度和降水量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/b3498df4ea70/41598_2023_34349_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/2d8ad8533883/41598_2023_34349_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/581c5bc92842/41598_2023_34349_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/dd60930d1bb1/41598_2023_34349_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/b3498df4ea70/41598_2023_34349_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/2d8ad8533883/41598_2023_34349_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/581c5bc92842/41598_2023_34349_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/dd60930d1bb1/41598_2023_34349_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/286e/10170124/b3498df4ea70/41598_2023_34349_Fig4_HTML.jpg

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