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Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar

African swine fever (ASF) severely threatens the swine industry worldwide, given its spread and the absence of an available licensed vaccine, and has caused severe economic losses. Its persistence in wild boar (WB), longer than in domestic pig farms, and the knowledge gaps in ASF epidemiology hinder...

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Autores principales: Loi, Federica, Cappai, Stefano, Laddomada, Alberto, Feliziani, Francesco, Oggiano, Annalisa, Franzoni, Giulia, Rolesu, Sandro, Guberti, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563513/
https://www.ncbi.nlm.nih.gov/pubmed/32932614
http://dx.doi.org/10.3390/vaccines8030521
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author Loi, Federica
Cappai, Stefano
Laddomada, Alberto
Feliziani, Francesco
Oggiano, Annalisa
Franzoni, Giulia
Rolesu, Sandro
Guberti, Vittorio
author_facet Loi, Federica
Cappai, Stefano
Laddomada, Alberto
Feliziani, Francesco
Oggiano, Annalisa
Franzoni, Giulia
Rolesu, Sandro
Guberti, Vittorio
author_sort Loi, Federica
collection PubMed
description African swine fever (ASF) severely threatens the swine industry worldwide, given its spread and the absence of an available licensed vaccine, and has caused severe economic losses. Its persistence in wild boar (WB), longer than in domestic pig farms, and the knowledge gaps in ASF epidemiology hinder ASF virus (ASFV) eradication. Even in areas where disease is effectively controlled and ASFV is no longer detected, declaring eradication is difficult as seropositive WBs may still be detected. The aim of this work was to estimate the main ASF epidemiological parameters specific for the north of Sardinia, Italy. The estimated basic (R(0)) and effective (R(e)) reproduction numbers demonstrate that the ASF epidemic is declining and under control with an R(0) of 1.139 (95% confidence interval (CI) = 1.123–1.153) and R(e) of 0.802 (95% CI = 0.612–0.992). In the last phases of an epidemic, these estimates are crucial tools for identifying the intensity of interventions required to definitively eradicate the disease. This approach is useful to understand if and when the detection of residual seropositive WB is no longer associated with any further ASFV circulation.
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spelling pubmed-75635132020-10-27 Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar Loi, Federica Cappai, Stefano Laddomada, Alberto Feliziani, Francesco Oggiano, Annalisa Franzoni, Giulia Rolesu, Sandro Guberti, Vittorio Vaccines (Basel) Article African swine fever (ASF) severely threatens the swine industry worldwide, given its spread and the absence of an available licensed vaccine, and has caused severe economic losses. Its persistence in wild boar (WB), longer than in domestic pig farms, and the knowledge gaps in ASF epidemiology hinder ASF virus (ASFV) eradication. Even in areas where disease is effectively controlled and ASFV is no longer detected, declaring eradication is difficult as seropositive WBs may still be detected. The aim of this work was to estimate the main ASF epidemiological parameters specific for the north of Sardinia, Italy. The estimated basic (R(0)) and effective (R(e)) reproduction numbers demonstrate that the ASF epidemic is declining and under control with an R(0) of 1.139 (95% confidence interval (CI) = 1.123–1.153) and R(e) of 0.802 (95% CI = 0.612–0.992). In the last phases of an epidemic, these estimates are crucial tools for identifying the intensity of interventions required to definitively eradicate the disease. This approach is useful to understand if and when the detection of residual seropositive WB is no longer associated with any further ASFV circulation. MDPI 2020-09-12 /pmc/articles/PMC7563513/ /pubmed/32932614 http://dx.doi.org/10.3390/vaccines8030521 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Loi, Federica
Cappai, Stefano
Laddomada, Alberto
Feliziani, Francesco
Oggiano, Annalisa
Franzoni, Giulia
Rolesu, Sandro
Guberti, Vittorio
Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title_full Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title_fullStr Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title_full_unstemmed Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title_short Mathematical Approach to Estimating the Main Epidemiological Parameters of African Swine Fever in Wild Boar
title_sort mathematical approach to estimating the main epidemiological parameters of african swine fever in wild boar
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563513/
https://www.ncbi.nlm.nih.gov/pubmed/32932614
http://dx.doi.org/10.3390/vaccines8030521
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