意大利禽流感爆发的趋势和时空模式:数据驱动法

IF 3.4 Q2 INFECTIOUS DISEASES
Francesco Branda, Sandra Mazzoli, Massimo Pierini, Massimo Ciccozzi
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引用次数: 0

摘要

近年来,禽流感病毒(AIVs)在鸟类和哺乳动物中史无前例地蔓延,给包括家禽、野生鸟类和一些哺乳动物在内的动物种群造成了破坏,损害了农民的生计和食品贸易。鉴于情况的紧迫性,科学家和公众能够尽快获得研究成果和数据尤为重要。本研究的主要目的是提供一个全球开放式禽流感疫情数据集,使研究人员和政策制定者能够:(i) 作为第一道防线快速检测和应对动物疫情;(ii) 围绕动物疫情和人类感染开展流行病学和病毒学调查;(iii) 传播风险信息。我们通过分析 2021 年 10 月至 2023 年 7 月期间意大利家禽和野生鸟类过去和当前高致病性禽流感(HPAI)疫情的最新信息,向研究界展示了该数据集的潜在用途。此外,我们还将从经济学中借鉴的指数(如同质性、专业化和位置指数)应用于野生鸟类数据集,以显示其在流行病学中的可能用途。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends and Spatiotemporal Patterns of Avian Influenza Outbreaks in Italy: A Data-Driven Approach
In recent years, the unprecedented spread of the Avian Influenza Viruses (AIVs) among birds and mammals has caused devastation in animal populations, including poultry, wild birds, and some mammals, damaging farmers’ livelihoods and the food trade. Given the urgency of the situation, it is particularly important that scientists and the public can access research results and data as soon as possible. The main aim of this study is to present a global open-access dataset of Avian Influenza outbreaks to enable researchers and policymakers (i) to rapidly detect, and respond to animal outbreaks as the first line of defense; (ii) to conduct epidemiological and virological investigations around animal outbreaks and human infections; and (iii) to communicate the risk. We show the potential use of this dataset to the research community by analyzing the most updated information on past and current Highly Pathogenic Avian Influenza (HPAI) outbreaks in domestic poultry and wild birds over the period from October 2021 to July 2023 in Italy. In addition, we applied indices borrowed from Economics (such as Homogeneity, Specialization, and Location Index) to the wild birds dataset to show their possible usage in epidemiology.
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来源期刊
Infectious Disease Reports
Infectious Disease Reports INFECTIOUS DISEASES-
CiteScore
5.10
自引率
0.00%
发文量
82
审稿时长
11 weeks
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