Suppr超能文献

量化意大利北部鸟类宿主群体中的西尼罗河病毒传播情况。

Quantifying West Nile virus circulation in the avian host population in Northern Italy.

作者信息

De Nardi Alex, Marini Giovanni, Dorigatti Ilaria, Rosà Roberto, Tamba Marco, Gelmini Luca, Prosperi Alice, Menegale Francesco, Poletti Piero, Calzolari Mattia, Pugliese Andrea

机构信息

Department of Mathematics, University of Trento, Trento, Italy.

Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.

出版信息

Infect Dis Model. 2024 Dec 13;10(2):375-386. doi: 10.1016/j.idm.2024.12.009. eCollection 2025 Jun.

Abstract

West Nile virus (WNV) is one of the most threatening mosquito-borne pathogens in Italy where hundreds of human cases were recorded during the last decade. Here, we estimated the WNV incidence in the avian population in the Emilia-Romagna region through a modelling framework which enabled us to eventually assess the fraction of birds that present anti-WNV antibodies at the end of each epidemiological season. We fitted an SIR model to ornithological data, consisting of 18,989 specimens belonging to Corvidae species collected between 2013 and 2022: every year from May to November birds are captured or shot and tested for WNV genome presence. We found that the incidence peaks between mid-July and late August, infected corvids seem on average 17% more likely to be captured with respect to susceptible ones and seroprevalence was estimated to be larger than other years at the end of 2018, consistent with the anomalous number of recorded human infections. Thanks to our modelling study we quantified WNV infection dynamics in the corvid community, which is still poorly investigated despite its importance for the virus circulation. To the best of our knowledge, this is among the first studies providing quantitative information on infection and immunity in the bird population, yielding new important insights on WNV transmission dynamics.

摘要

西尼罗河病毒(WNV)是意大利最具威胁的蚊媒病原体之一,在过去十年中记录了数百例人类病例。在此,我们通过一个建模框架估计了艾米利亚 - 罗马涅地区鸟类群体中的WNV发病率,该框架使我们最终能够评估在每个流行病学季节结束时呈现抗WNV抗体的鸟类比例。我们将一个SIR模型拟合到鸟类学数据上,这些数据由2013年至2022年间收集的18989份鸦科鸟类标本组成:每年从5月到11月,鸟类被捕获或射杀,并检测是否存在WNV基因组。我们发现发病率在7月中旬至8月下旬达到峰值,受感染的鸦科鸟类被捕获的可能性似乎比易感鸟类平均高出17%,并且在2018年底估计血清阳性率高于其他年份,这与记录的人类感染异常数量一致。由于我们的建模研究,我们量化了鸦科鸟类群体中的WNV感染动态,尽管其对病毒传播很重要,但目前仍研究不足。据我们所知,这是首批提供鸟类群体感染和免疫定量信息的研究之一,为WNV传播动态提供了新的重要见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8866/11729645/2c6242096129/gr1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验