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与白纹伊蚊分布相关的人口和环境因素在喀麦隆。

Demographic and environmental factors associated with the distribution of Aedes albopictus in Cameroon.

机构信息

Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.

Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK.

出版信息

Med Vet Entomol. 2023 Mar;37(1):143-151. doi: 10.1111/mve.12619. Epub 2022 Oct 20.

DOI:10.1111/mve.12619
PMID:36264191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10092813/
Abstract

Aedes-transmitted arboviruses have spread globally due to the spread of Aedes aegypti and Aedes albopictus. Its distribution is associated with human and physical geography. However, these factors have not been quantified in Cameroon. Therefore, the aim was to develop an Ae. albopictus geo-referenced database to examine the risk factors associated with the vector distribution in Cameroon. Data on the Ae. albopictus presence and absence were collated and mapped from studies in published scientific literature between 2000 and 2020. Publicly available earth observation data were used to assess human geography, land use and climate risk factors related to the vector distribution. A logistic binomial regression was conducted to identify the significant risk factors associated with Ae. albopictus distribution. In total, 111 data points were collated (presence = 87; absence = 24). Different data collection methods and sites hindered the spatiotemporal analysis. An increase of one wet month in a year increased the odds of Ae. albopictus presence by 5.6 times. One unit of peri-urban area increased the odds by 1.3 times. Using publicly available demographic and environmental data to better understand the key determinants of mosquito distributions may facilitate appropriately targeted public health messages and vector control strategies.

摘要

由于埃及伊蚊和白纹伊蚊的传播,虫媒病毒在全球范围内传播。其分布与人类和自然地理有关。然而,这些因素在喀麦隆尚未被量化。因此,本研究旨在建立白纹伊蚊的地理参考数据库,以检验与喀麦隆病媒分布相关的风险因素。从 2000 年至 2020 年发表的科学文献中收集并绘制了有关白纹伊蚊存在和不存在的数据。利用公开的地球观测数据评估与病媒分布相关的人类地理、土地利用和气候风险因素。采用二项逻辑回归分析确定与白纹伊蚊分布相关的显著风险因素。共收集了 111 个数据点(存在 87 个;不存在 24 个)。不同的数据收集方法和地点妨碍了时空分析。一年中增加一个湿润月,白纹伊蚊存在的几率增加 5.6 倍。城市周边地区每增加一个单位,几率增加 1.3 倍。利用公开的人口统计和环境数据更好地了解蚊子分布的关键决定因素,可能有助于有针对性地传播公共卫生信息和开展病媒控制策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16d6/10092813/621c338445f2/MVE-37-143-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16d6/10092813/621c338445f2/MVE-37-143-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16d6/10092813/621c338445f2/MVE-37-143-g004.jpg

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