Literature DB >> 31122672

Spatial epidemiology of African swine fever: Host, landscape and anthropogenic drivers of disease occurrence in wild boar.

Tomasz Podgórski1, Tomasz Borowik2, Magdalena Łyjak3, Grzegorz Woźniakowski3.   

Abstract

Host abundance and landscape structure often interact to shape spatial patterns of many wildlife diseases. Emergence, spread, and persistence of African swine fever (ASF) among wild boar in eastern Europe has raised questions on the factors underlying ASF dynamics in this novel host-pathogen system. This work identifies drivers of ASF occurrence in natural wild boar population. We evaluated factors shaping the probability of ASF-postitive wild boar during the first three years (2014-2016) of the ASF epidemic in Poland. We expected to observe positive effects of wild boar density, proportion of forested area, human activity, and proximity to previous infections on ASF case probability. We tested these predictions using the infection status of 830 wild boar samples and generalized mixed-effects models. The probability of ASF case increased from 3 to 20% as population density rose from 0.4 to 2 ind./km2. The positive effect of population density on ASF case probability was stronger at locations near previous ASF incidents. ASF was more likely to occur in forested areas, with the probability of detecting an ASF positive sample rising from 2 to 11% as forest cover around the sample increased from 0.5 to 100%. This pattern was consistent at both low and high wild boar densities. Indicators of human activity were poor predictors of ASF occurrence. Disease control efforts, such as culling and carcass search, should be focused on high-density populations where chances of detecting and eliminating ASF-positive wild boar are higher. The intensity of control measures should decrease with distance from the infected area to match the observed spatial pattern of ASF case probability. Woodlands represent areas of the highest risk of ASF case occurrence. Distribution and connectivity of suitable habitats over the landscape can be used to prioritize disease-management actions.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ASF; Disease control; Disease spread; Host density; Landscape structure

Mesh:

Year:  2019        PMID: 31122672     DOI: 10.1016/j.prevetmed.2019.104691

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


  8 in total

1.  ASF Exit Strategy: Providing cumulative evidence of the absence of African swine fever virus circulation in wild boar populations using standard surveillance measures.

Authors:  Søren Saxmose Nielsen; Julio Alvarez; Dominique Joseph Bicout; Paolo Calistri; Klaus Depner; Julian Ashley Drewe; Bruno Garin-Bastuji; Jose Luis Gonzales Rojas; Christian Gortazar Schmidt; Mette Herskin; Virginie Michel; Miguel Ángel Miranda Chueca; Paolo Pasquali; Helen Clare Roberts; Liisa Helena Sihvonen; Hans Spoolder; Karl Stahl; Antonio Velarde; Christoph Winckler; José Cortiňas Abrahantes; Sofie Dhollander; Corina Ivanciu; Alexandra Papanikolaou; Yves Van der Stede; Sandra Blome; Vittorio Guberti; Federica Loi; Simon More; Edvins Olsevskis; Hans Hermann Thulke; Arvo Viltrop
Journal:  EFSA J       Date:  2021-03-03

2.  Epidemiological analyses of African swine fever in the European Union: (September 2020 to August 2021).

Authors:  Joaquín Vicente Baños; Anette Boklund; Andrey Gogin; Christian Gortázar; Vittorio Guberti; Georgina Helyes; Maria Kantere; Daniela Korytarova; Annick Linden; Marius Masiulis; Aleksandra Miteva; Ioana Neghirla; Edvins Oļševskis; Sasa Ostojic; Satran Petr; Christoph Staubach; Hans-Hermann Thulke; Arvo Viltrop; Grzegorz Wozniakowski; Alessandro Broglia; José Abrahantes Cortiñas; Sofie Dhollander; Lina Mur; Alexandra Papanikolaou; Yves Van der Stede; Gabriele Zancanaro; Karl Ståhl
Journal:  EFSA J       Date:  2022-05-04

3.  Risk for African Swine Fever Introduction Into Kazakhstan.

Authors:  Daniella N Schettino; Sarsenbay K Abdrakhmanov; Kanatzhan K Beisembayev; Fedor I Korennoy; Akhmetzhan A Sultanov; Yersyn Y Mukhanbetkaliyev; Ablaikhan S Kadyrov; Andres M Perez
Journal:  Front Vet Sci       Date:  2021-02-11

4.  Modelling the Spatial Distribution of ASF-Positive Wild Boar Carcasses in South Korea Using 2019-2020 National Surveillance Data.

Authors:  Jun-Sik Lim; Timothée Vergne; Son-Il Pak; Eutteum Kim
Journal:  Animals (Basel)       Date:  2021-04-22       Impact factor: 2.752

5.  African Swine Fever Survey in a European Context.

Authors:  Ana de la Torre; Jaime Bosch; José Manuel Sánchez-Vizcaíno; Satoshi Ito; Carolina Muñoz; Irene Iglesias; Marta Martínez-Avilés
Journal:  Pathogens       Date:  2022-01-23

6.  Spatiotemporal Analysis and Assessment of Risk Factors in Transmission of African Swine Fever Along the Major Pig Value Chain in Lao Cai Province, Vietnam.

Authors:  Hu Suk Lee; Tung Duy Dao; Le Thi Thanh Huyen; Vuong Nghia Bui; Anh Ngoc Bui; Dung Tien Ngo; Uyen Ba Pham
Journal:  Front Vet Sci       Date:  2022-03-29

Review 7.  African Swine Fever in Wild Boar in Europe-A Review.

Authors:  Carola Sauter-Louis; Franz J Conraths; Carolina Probst; Ulrike Blohm; Katja Schulz; Julia Sehl; Melina Fischer; Jan Hendrik Forth; Laura Zani; Klaus Depner; Thomas C Mettenleiter; Martin Beer; Sandra Blome
Journal:  Viruses       Date:  2021-08-30       Impact factor: 5.048

8.  Evaluation of the Presence of ASFV in Wolf Feces Collected from Areas in Poland with ASFV Persistence.

Authors:  Maciej Szewczyk; Krzysztof Łepek; Sabina Nowak; Małgorzata Witek; Anna Bajcarczyk; Korneliusz Kurek; Przemysław Stachyra; Robert W Mysłajek; Bogusław Szewczyk
Journal:  Viruses       Date:  2021-10-14       Impact factor: 5.048

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.