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Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017

BACKGROUND: The emergence in 2014 and persistence of African Swine Fever (ASF) in Lithuania has been linked to infected wild boar movement and close contact with the carcasses of other infected wild boars. Over time the number of reported cases of ASF in wild boars gradually increased, but no detail...

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Autores principales: Pautienius, Arnoldas, Grigas, Juozas, Pileviciene, Simona, Zagrabskaite, Ruta, Buitkuviene, Jurate, Pridotkas, Gediminas, Stankevicius, Rolandas, Streimikyte, Zaneta, Salomskas, Algirdas, Zienius, Dainius, Stankevicius, Arunas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245807/
https://www.ncbi.nlm.nih.gov/pubmed/30454055
http://dx.doi.org/10.1186/s12985-018-1090-8
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author Pautienius, Arnoldas
Grigas, Juozas
Pileviciene, Simona
Zagrabskaite, Ruta
Buitkuviene, Jurate
Pridotkas, Gediminas
Stankevicius, Rolandas
Streimikyte, Zaneta
Salomskas, Algirdas
Zienius, Dainius
Stankevicius, Arunas
author_facet Pautienius, Arnoldas
Grigas, Juozas
Pileviciene, Simona
Zagrabskaite, Ruta
Buitkuviene, Jurate
Pridotkas, Gediminas
Stankevicius, Rolandas
Streimikyte, Zaneta
Salomskas, Algirdas
Zienius, Dainius
Stankevicius, Arunas
author_sort Pautienius, Arnoldas
collection PubMed
description BACKGROUND: The emergence in 2014 and persistence of African Swine Fever (ASF) in Lithuania has been linked to infected wild boar movement and close contact with the carcasses of other infected wild boars. Over time the number of reported cases of ASF in wild boars gradually increased, but no detailed epidemiological data has been available. Therefore, the objective of the present study was to determine ASF virus prevalence in wild boars and domestic pigs during the 2014–2017 period and further explore the current geographical distribution of the virus. RESULTS: Our study results show that ASF virus prevalence in hunted wild boars using PCR analysis increased from 0.83% (95% CI 0.69–0.98) to 2.27% (95% CI 2.05–2.48) from 2014 to 2016 respectively. However, there was a dramatic jump in the number of ASF positive wild boars cases in 2017 resulting in prevalence of 12.39% (95% CI 11.91–12.86) (p < 0.05). The average prevalence of ASF-specific antibodies in wild boar population during years 2014–2017 was 0.45% (95% CI 0.39–0.51) based on ELISA test results. Prevalence of ASF virus in domestic pigs ranged from 0.24% (95% CI 0.17% - 0.32) in 2015 to 2.74% (95% CI 2.33% - 3.15) in 2017. The average seasonal prevalence of ASF virus in pigs was statistically significant (p < 0.05) and ranged from 0% in spring to 3.68% (95% CI 3.32–4.05) in summer. Correlation between the pig density and number of recorded pig ASF cases in affected regions was only found in 2017 (R = 0.78, p < 0.05). No correlation was detected between the wild boar density and number of recorded pig or wild boar ASF - positive cases. CONCLUSIONS: This study provides the first results of ASF virus prevalence changes in Lithuania during the 2014–2017. The overall results confirm the relatively high prevalence of ASF virus in wild boar that was gradually increasing from 2014 to 2017. In the last year of study, the number of ASF positive cases in both domestic pigs and wild boars had unexpectedly increased several times. A better understanding of current status of the disease will enable better control and prevent further spread of ASF virus in Western Europe.
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spelling pubmed-62458072018-11-26 Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017 Pautienius, Arnoldas Grigas, Juozas Pileviciene, Simona Zagrabskaite, Ruta Buitkuviene, Jurate Pridotkas, Gediminas Stankevicius, Rolandas Streimikyte, Zaneta Salomskas, Algirdas Zienius, Dainius Stankevicius, Arunas Virol J Research BACKGROUND: The emergence in 2014 and persistence of African Swine Fever (ASF) in Lithuania has been linked to infected wild boar movement and close contact with the carcasses of other infected wild boars. Over time the number of reported cases of ASF in wild boars gradually increased, but no detailed epidemiological data has been available. Therefore, the objective of the present study was to determine ASF virus prevalence in wild boars and domestic pigs during the 2014–2017 period and further explore the current geographical distribution of the virus. RESULTS: Our study results show that ASF virus prevalence in hunted wild boars using PCR analysis increased from 0.83% (95% CI 0.69–0.98) to 2.27% (95% CI 2.05–2.48) from 2014 to 2016 respectively. However, there was a dramatic jump in the number of ASF positive wild boars cases in 2017 resulting in prevalence of 12.39% (95% CI 11.91–12.86) (p < 0.05). The average prevalence of ASF-specific antibodies in wild boar population during years 2014–2017 was 0.45% (95% CI 0.39–0.51) based on ELISA test results. Prevalence of ASF virus in domestic pigs ranged from 0.24% (95% CI 0.17% - 0.32) in 2015 to 2.74% (95% CI 2.33% - 3.15) in 2017. The average seasonal prevalence of ASF virus in pigs was statistically significant (p < 0.05) and ranged from 0% in spring to 3.68% (95% CI 3.32–4.05) in summer. Correlation between the pig density and number of recorded pig ASF cases in affected regions was only found in 2017 (R = 0.78, p < 0.05). No correlation was detected between the wild boar density and number of recorded pig or wild boar ASF - positive cases. CONCLUSIONS: This study provides the first results of ASF virus prevalence changes in Lithuania during the 2014–2017. The overall results confirm the relatively high prevalence of ASF virus in wild boar that was gradually increasing from 2014 to 2017. In the last year of study, the number of ASF positive cases in both domestic pigs and wild boars had unexpectedly increased several times. A better understanding of current status of the disease will enable better control and prevent further spread of ASF virus in Western Europe. BioMed Central 2018-11-19 /pmc/articles/PMC6245807/ /pubmed/30454055 http://dx.doi.org/10.1186/s12985-018-1090-8 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Pautienius, Arnoldas
Grigas, Juozas
Pileviciene, Simona
Zagrabskaite, Ruta
Buitkuviene, Jurate
Pridotkas, Gediminas
Stankevicius, Rolandas
Streimikyte, Zaneta
Salomskas, Algirdas
Zienius, Dainius
Stankevicius, Arunas
Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title_full Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title_fullStr Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title_full_unstemmed Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title_short Prevalence and spatiotemporal distribution of African swine fever in Lithuania, 2014–2017
title_sort prevalence and spatiotemporal distribution of african swine fever in lithuania, 2014–2017
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245807/
https://www.ncbi.nlm.nih.gov/pubmed/30454055
http://dx.doi.org/10.1186/s12985-018-1090-8
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