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在西班牙巴塞罗那,通过一种采用基于主体模型的“同一健康”方法,评估人与野猪接触界面的流行病学风险。

Assessing the epidemiological risk at the human-wild boar interface through a one health approach using an agent-based model in Barcelona, Spain.

作者信息

Carlos González-Crespo, Beatriz Martínez-López, Carles Conejero, Raquel Castillo-Contreras, Emmanuel Serrano, Josep Maria López-Martín, Jordi Serra-Cobo, Santiago Lavín, Jorge Ramón López-Olvera

机构信息

Wildlife Ecology & Health Group and Servei d'Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i Cirurgia Animals, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.

Center for Animal Disease Modeling and Surveillance, Department of Medicine and Epidemiology, University of California, Davis, Davis, CA, USA.

出版信息

One Health. 2023 Jul 9;17:100598. doi: 10.1016/j.onehlt.2023.100598. eCollection 2023 Dec.

Abstract

Wild boar (WB, ) populations are increasing in urban areas, posing an epidemiological risk for zoonotic pathogens such as hepatitis E virus (HEV) and antimicrobial-resistant (AMR-CAMP), as well as non-zoonotic pathogens such as African swine fever virus (ASFV). An epidemiological extension of a validated Agent-Based Model (ABM) was developed to assess the one-year epidemiological scenarios of HEV, AMR-CAMP, and ASFV in the synurbic WB-human interface in Barcelona, Spain. The predicted citizen exposure was similar for HEV and AMR-CAMP, at 0.79% and 0.80% of the human population in Barcelona, respectively, despite AMR-CAMP being more prevalent in the WB population than HEV. This suggests a major role of faeces in pathogen transmission to humans in urban areas, resulting in a non-negligible public health risk. The ASFV model predicted that the entire WB population would be exposed to the virus through carcasses (87.6%) or direct contact (12.6%) in 51-71 days after the first case, with an outbreak lasting 71-124 days and reducing the initial WB population by 95%. The ABM predictions are useful for animal and public health risk assessments and to support risk-based decision-making. The study underscores the need for interdisciplinary cooperation among animal, public, and environmental health managers, and the implementation of the One Health approach to address the epidemiological and public health risks posed by the synurbization of WB in urban areas. The spatially explicit epidemiological predictions of the ABM can be adapted to other diseases and scenarios at the wildlife-livestock-human interface.

摘要

野猪(WB)种群在城市地区不断增加,对诸如戊型肝炎病毒(HEV)和耐抗菌药物的弯曲杆菌(AMR - CAMP)等人畜共患病原体以及诸如非洲猪瘟病毒(ASFV)等非人畜共患病原体构成了流行病学风险。开发了一种经过验证的基于主体模型(ABM)的流行病学扩展模型,以评估西班牙巴塞罗那城市周边野猪与人类界面中HEV、AMR - CAMP和ASFV的一年流行病学情况。尽管AMR - CAMP在野猪种群中比HEV更普遍,但预测的市民暴露率对于HEV和AMR - CAMP相似,分别为巴塞罗那人口的0.79%和0.80%。这表明粪便在城市地区病原体传播给人类方面起着主要作用,导致了不可忽视的公共卫生风险。ASFV模型预测,在首例病例出现后的51 - 71天内,整个野猪种群将通过尸体(87.6%)或直接接触(12.6%)接触到该病毒,疫情持续71 - 124天,使初始野猪种群减少95%。ABM预测对于动物和公共卫生风险评估以及支持基于风险的决策很有用。该研究强调了动物、公共和环境卫生管理人员之间跨学科合作的必要性,以及实施“同一健康”方法来应对城市地区野猪城市化带来的流行病学和公共卫生风险。ABM的空间明确的流行病学预测可适用于野生动物 - 家畜 - 人类界面的其他疾病和情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e16/10372376/b3a1cb22b0b6/ga1.jpg

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