Literature DB >> 29169685

Surveillance of porcine reproductive and respiratory syndrome virus in the United States using risk mapping and species distribution modeling.

Moh A Alkhamis1, Andreia G Arruda2, Carles Vilalta3, Robert B Morrison3, Andres M Perez3.   

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSv) outbreaks cause significant financial losses to the U.S. swine industry, where the pathogen is endemic. Seasonal increases in the number of outbreaks are typically observed using PRRSv epidemic curves. However, the nature and extent to which demographic and environmental factors influence the risk for PRRSv outbreaks in the country remains unclear. The objective of this study was to develop risk maps for PRRSv outbreaks across the United States (U.S.) and compare ecological dynamics of the disease in five of the most important swine production regions of the country. This study integrates spatial information regarding PRRSv surveillance with relevant demographic and environmental factors collected between 2009 and 2016. We used presence-only Maximum Entropy (Maxent), a species distribution modeling approach, to model the spatial risk of PRRSv in swine populations. Data fitted the selected model relatively well when the modeling approach was conducted by region (training and testing AUCs<0.75). All of the Maxent models selected identified high-risk areas, with probabilities greater than 0.5. The relative contribution of pig density to PRRSv risk was highest in pig-densely populated areas (Minnesota, Iowa and North Carolina), whereas climate and land cover were important in areas with relatively low pig densities (Illinois, Indiana, South Dakota, Nebraska, Kansas, Oklahoma, Colorado, and Texas). Although many previous studies associated the risk of PRRSv with high pig density and climatic factors, the study here quantifies, for the first time in the peer-reviewed literature, the spatial variation and relative contribution of these factors across different swine production regions in the U.S. The results will help in the design and implement of early detection, prevention, and control strategies for one of the most devastating diseases affecting the swine industry in the U.S.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Climate; Maximum entropy; PRRSv; Pig density; Risk mapping; Swine production systems

Mesh:

Year:  2017        PMID: 29169685     DOI: 10.1016/j.prevetmed.2017.11.011

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  7 in total

1.  Estimated quantity of swine virus genomes based on quantitative PCR analysis in spray-dried porcine plasma samples collected from multiple manufacturing plants.

Authors:  Elena Blázquez; Joan Pujols; Joaquim Segalés; Carmen Rodríguez; Joy Campbell; Louis Russell; Javier Polo
Journal:  PLoS One       Date:  2022-05-23       Impact factor: 3.752

2.  Investigation of the distance to slaughterhouses and weather parameters in the occurrence of porcine reproductive and respiratory syndrome outbreaks in U.S. swine breeding herds.

Authors:  Justin Moeller; Jerry Mount; Emily Geary; Magnus R Campler; Cesar A Corzo; Robert B Morrison; Andréia G Arruda
Journal:  Can Vet J       Date:  2022-05       Impact factor: 1.075

3.  Seroprevalence of porcine reproductive and respiratory syndrome virus on swine farms in a tropical country of the Middle Americas: the case of Costa Rica.

Authors:  Ronald Meléndez; Mónica Guzmán; Carlos Jiménez; Marta Piche; Emily Jiménez; Bernal León; Juan M Cordero; Lisbeth Ramirez-Carvajal; Alberto Uribe; Arie Van Nes; Arjan Stegeman; Hans Vernooij; Juan José Romero-Zúñiga
Journal:  Trop Anim Health Prod       Date:  2021-08-18       Impact factor: 1.559

4.  Assessment of immediate production impact following attenuated PRRS type 2 virus vaccination in swine breeding herds.

Authors:  Cesar A A Moura; Clayton Johnson; Samuel R Baker; Derald J Holtkamp; Chong Wang; Daniel C L Linhares
Journal:  Porcine Health Manag       Date:  2019-06-11

5.  Time-series analysis for porcine reproductive and respiratory syndrome in the United States.

Authors:  Andréia Gonçalves Arruda; Carles Vilalta; Pere Puig; Andres Perez; Anna Alba
Journal:  PLoS One       Date:  2018-04-03       Impact factor: 3.240

Review 6.  Aerosol Detection and Transmission of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV): What Is the Evidence, and What Are the Knowledge Gaps?

Authors:  Andréia Gonçalves Arruda; Steve Tousignant; Juan Sanhueza; Carles Vilalta; Zvonimir Poljak; Montserrat Torremorell; Carmen Alonso; Cesar A Corzo
Journal:  Viruses       Date:  2019-08-03       Impact factor: 5.048

Review 7.  Ecological Niche Modeling: An Introduction for Veterinarians and Epidemiologists.

Authors:  Luis E Escobar
Journal:  Front Vet Sci       Date:  2020-10-21
  7 in total

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