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栖息地因素如何影响温带地区的埃及伊蚊驱动型疫情爆发:以意大利基孔肯雅病毒为例。

How habitat factors affect an Aedes mosquitoes driven outbreak at temperate latitudes: The case of the Chikungunya virus in Italy.

机构信息

Departement of Public Health and Infectious Diseases, Sapienza Università di Roma, Roma, Italy.

Center for Health Emergencies, Fondazione Bruno Kessler, Trento, Italy.

出版信息

PLoS Negl Trop Dis. 2023 Aug 17;17(8):e0010655. doi: 10.1371/journal.pntd.0010655. eCollection 2023 Aug.

Abstract

BACKGROUND

Outbreaks of Aedes-borne diseases in temperate areas are not frequent, and limited in number of cases. We investigate the associations between habitat factors and temperature on individuals' risk of chikungunya (CHIKV) in a non-endemic area by spatially analyzing the data from the 2017 Italian outbreak.

METHODOLOGY/PRINCIPAL FINDINGS: We adopted a case-control study design to analyze the association between land-cover variables, temperature, and human population density with CHIKV cases. The observational unit was the area, at different scales, surrounding the residence of each CHIKV notified case. The statistical analysis was conducted considering the whole dataset and separately for the resort town of Anzio and the metropolitan city of Rome, which were the two main foci of the outbreak. In Rome, a higher probability for the occurrence of CHIKV cases is associated with lower temperature (OR = 0.72; 95% CI: 0.61-0.85) and with cells with higher vegetation coverage and human population density (OR = 1.03; 95% CI: 1.00-1.05). In Anzio, CHIKV case occurrence was positively associated with human population density (OR = 1.03; 95% CI: 1.00-1.06) but not with habitat factors or temperature.

CONCLUSION/SIGNIFICANCE: Using temperature, human population density and vegetation coverage data as drives for CHIKV transmission, our estimates could be instrumental in assessing spatial heterogeneity in the risk of experiencing arboviral diseases in non-endemic temperate areas.

摘要

背景

在温带地区,登革热蚊媒传染病的爆发并不常见,且病例数量有限。我们通过对 2017 年意大利疫情的数据进行空间分析,研究了栖息地因素与温度对非流行地区基孔肯雅热(CHIKV)个体发病风险的关联。

方法/主要发现:我们采用病例对照研究设计,分析了土地覆盖变量、温度和人口密度与基孔肯雅热病例之间的关系。观察单位是每个基孔肯雅热通知病例居住周围不同尺度的区域。统计分析考虑了整个数据集,并分别对安齐奥度假城镇和罗马大都市这两个疫情的主要中心进行了分析。在罗马,CHIKV 病例发生的概率与较低的温度(OR=0.72;95%CI:0.61-0.85)和植被覆盖率较高、人口密度较高的单元格相关(OR=1.03;95%CI:1.00-1.05)。在安齐奥,CHIKV 病例的发生与人口密度呈正相关(OR=1.03;95%CI:1.00-1.06),但与栖息地因素或温度无关。

结论/意义:利用温度、人口密度和植被覆盖数据作为 CHIKV 传播的驱动因素,我们的估计结果可以评估非流行温带地区体验虫媒病毒病风险的空间异质性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02ad/10465128/a1a08ee059ca/pntd.0010655.g001.jpg

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