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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7563513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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