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中国H7N9和H5N1禽流感适宜性模型:纳入新的家禽及活禽市场分布数据

H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data.

作者信息

Artois Jean, Lai Shengjie, Feng Luzhao, Jiang Hui, Zhou Hang, Li Xiangping, Dhingra Madhur S, Linard Catherine, Nicolas Gaëlle, Xiao Xiangming, Robinson Timothy P, Yu Hongjie, Gilbert Marius

机构信息

Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium.

Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China.

出版信息

Stoch Environ Res Risk Assess. 2017;31(2):393-402. doi: 10.1007/s00477-016-1362-z. Epub 2016 Dec 5.

Abstract

In the last two decades, two important avian influenza viruses infecting humans emerged in China, the highly pathogenic avian influenza (HPAI) H5N1 virus in the late nineties, and the low pathogenic avian influenza (LPAI) H7N9 virus in 2013. China is home to the largest population of chickens (4.83 billion) and ducks (0.694 billion), representing, respectively 23.1 and 58.6% of the 2013 world stock, with a significant part of poultry sold through live-poultry markets potentially contributing to the spread of avian influenza viruses. Previous models have looked at factors associated with HPAI H5N1 in poultry and LPAI H7N9 in markets. However, these have not been studied and compared with a consistent set of predictor variables. Significant progress was recently made in the collection of poultry census and live-poultry market data, which are key potential factors in the distribution of both diseases. Here we compiled and reprocessed a new set of poultry census data and used these to analyse HPAI H5N1 and LPAI H7N9 distributions with boosted regression trees models. We found a limited impact of the improved poultry layers compared to models based on previous poultry census data, and a positive and previously unreported association between HPAI H5N1 outbreaks and the density of live-poultry markets. In addition, the models fitted for the HPAI H5N1 and LPAI H7N9 viruses predict a high risk of disease presence for the area around Shanghai and Hong Kong. The main difference in prediction between the two viruses concerned the suitability of HPAI H5N1 in north-China around the Yellow sea (outlined with Tianjin, Beijing, and Shenyang city) where LPAI H7N9 has not spread intensely.

摘要

在过去二十年中,中国出现了两种感染人类的重要禽流感病毒,即九十年代后期的高致病性禽流感(HPAI)H5N1病毒,以及2013年的低致病性禽流感(LPAI)H7N9病毒。中国拥有世界上最多的鸡(48.3亿只)和鸭(6.94亿只),分别占2013年世界存栏量的23.1%和58.6%,通过活禽市场销售的很大一部分家禽可能会促使禽流感病毒传播。此前的模型研究了与家禽中的HPAI H5N1和市场中的LPAI H7N9相关的因素。然而,这些因素尚未使用一组一致的预测变量进行研究和比较。最近在家禽普查和活禽市场数据收集方面取得了重大进展,这些数据是这两种疾病传播的关键潜在因素。在此,我们汇编并重新处理了一组新的家禽普查数据,并使用这些数据通过增强回归树模型分析HPAI H5N1和LPAI H7N9的分布情况。我们发现,与基于此前家禽普查数据的模型相比,改良蛋鸡存栏量的影响有限,并且HPAI H5N1疫情与活禽市场密度之间存在积极且此前未报告的关联。此外,针对HPAI H5N1和LPAI H7N9病毒建立的模型预测,上海和香港周边地区疾病存在的风险很高。两种病毒预测的主要差异在于HPAI H5N1在中国北方黄海周边地区(以天津、北京和沈阳市为界)的适宜性,而LPAI H7N9在该地区并未密集传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d9/5329093/8af88a9439a2/477_2016_1362_Fig1_HTML.jpg

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