Literature DB >> 31183963

Deathbed choice by ASF-infected wild boar can help find carcasses.

Kevin Morelle1,2, Milos Jezek2, Alain Licoppe3, Tomasz Podgorski1,2.   

Abstract

African swine fever (ASF) is a fatal disease infectious to wild and domesticated suids. This disease entered the European Union in 2014 and recently reached western Europe, with the first cases observed in Belgium in September 2018. Carcasses of ASF-infected wild boar play an important role in the spread and persistence of the virus in the environment. Thus, rapidly finding and removing carcasses is a crucial measure for effective ASF control. Using distribution modelling, we investigated whether the fine-scale distribution of ASF-infected animals can be predicted and support wild boar carcass searches. Our results suggest that ASF-infected wild boar selected deathbeds in cool and moist habitats; thus, deathbed choice was mostly influenced by topographic and water-dependent covariates. Furthermore, we show that in the case of an epidemic, it is important to quickly collect a minimum of 75-100 carcasses with exact locations to build a well-performing and efficient carcass distribution model. The proposed model provides an indication of where carcasses are most likely to be found and can be used as a guide to strategically allocate resources.
© 2019 Blackwell Verlag GmbH.

Entities:  

Keywords:  MaxEnt; behavioural changes; disease control; distribution model

Mesh:

Year:  2019        PMID: 31183963     DOI: 10.1111/tbed.13267

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  8 in total

1.  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

2.  The golden jackal (Canis aureus) and the African swine fever pandemic: Its role is controversial but not negligible (a diet analysis study).

Authors:  Péter Kemenszky; Ferenc Jánoska; Gábor Nagy; Ágnes Csivincsik
Journal:  Vet Med Sci       Date:  2021-09-23

3.  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

4.  Estimating the Postmortem Interval of Wild Boar Carcasses.

Authors:  Carolina Probst; Jörn Gethmann; Jens Amendt; Lena Lutz; Jens Peter Teifke; Franz J Conraths
Journal:  Vet Sci       Date:  2020-01-05

5.  R0 Estimation for the African Swine Fever Epidemics in Wild Boar of Czech Republic and Belgium.

Authors:  Andrea Marcon; Annik Linden; Petr Satran; Vincenzo Gervasi; Alain Licoppe; Vittorio Guberti
Journal:  Vet Sci       Date:  2019-12-27

6.  Ecological drivers of African swine fever virus persistence in wild boar populations: Insight for control.

Authors:  Kim M Pepin; Andrew J Golnar; Zaid Abdo; Tomasz Podgórski
Journal:  Ecol Evol       Date:  2020-02-18       Impact factor: 2.912

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

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