栖息地因素如何影响伊蚊在温带地区引发的疫情:以意大利的基孔肯雅病毒为例。

IF 3.8 2区 医学 Q1 Medicine PLoS Neglected Tropical Diseases Pub Date : 2023-08-17 eCollection Date: 2023-08-01 DOI:10.1371/journal.pntd.0010655
Angelo Solimini, Chiara Virgillito, Mattia Manica, Piero Poletti, Giorgio Guzzetta, Giovanni Marini, Roberto Rosà, Federico Filipponi, Paola Scognamiglio, Francesco Vairo, Beniamino Caputo
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摘要

背景:伊蚊传播疾病在温带地区的爆发并不频繁,病例数量有限。我们通过空间分析2017年意大利疫情的数据,研究了栖息地因素和温度对非流行地区个体基孔肯雅病(CHIKV)风险的影响。方法/主要发现:我们采用病例对照研究设计来分析土地覆盖变量、温度和人口密度与CHIKV病例之间的关系。观测单位是每个CHIKV通报病例住所周围不同规模的区域。统计分析是在考虑整个数据集的情况下进行的,并分别针对度假小镇安齐奥和大都市罗马,这两个城市是疫情的两个主要焦点。在罗马,CHIKV病例发生的概率较高,与较低的温度有关(OR=0.72;95%CI:0.61-0.85),与植被覆盖率和人口密度较高的细胞有关(OR=1.03;95%CI:1.00-1.05),CHIKV病例的发生与人口密度呈正相关(OR=1.03;95%CI:1.00-1.06),但与生境因素或温度无关。结论/意义:利用温度、人口密度和植被覆盖率数据作为CHIKV传播的驱动因素,我们的估计可能有助于评估非流行温带地区发生虫媒病毒性疾病风险的空间异质性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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.

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来源期刊
PLoS Neglected Tropical Diseases
PLoS Neglected Tropical Diseases Medicine-Infectious Diseases
CiteScore
7.40
自引率
10.50%
发文量
723
审稿时长
2-3 weeks
期刊介绍: PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).
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