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Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda
African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Insights into the dynamics and scale of virus transmission can be obtained from estimates of the basic reproduction number (R (0)). We estimate R (0) for ASF virus in small ho...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418717/ https://www.ncbi.nlm.nih.gov/pubmed/25938429 http://dx.doi.org/10.1371/journal.pone.0125842 |
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author | Barongo, Mike B. Ståhl, Karl Bett, Bernard Bishop, Richard P. Fèvre, Eric M. Aliro, Tony Okoth, Edward Masembe, Charles Knobel, Darryn Ssematimba, Amos |
author_facet | Barongo, Mike B. Ståhl, Karl Bett, Bernard Bishop, Richard P. Fèvre, Eric M. Aliro, Tony Okoth, Edward Masembe, Charles Knobel, Darryn Ssematimba, Amos |
author_sort | Barongo, Mike B. |
collection | PubMed |
description | African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Insights into the dynamics and scale of virus transmission can be obtained from estimates of the basic reproduction number (R (0)). We estimate R (0) for ASF virus in small holder, free-range pig production system in Gulu, Uganda. The estimation was based on data collected from outbreaks that affected 43 villages (out of the 289 villages with an overall pig population of 26,570) between April 2010 and November 2011. A total of 211 outbreaks met the criteria for inclusion in the study. Three methods were used, specifically; (i) GIS- based identification of the nearest infectious neighbour based on the Euclidean distance between outbreaks, (ii) epidemic doubling time, and (iii) a compartmental susceptible-infectious (SI) model. For implementation of the SI model, three approaches were used namely; curve fitting (CF), a linear regression model (LRM) and the SI/N proportion. The R (0) estimates from the nearest infectious neighbour and epidemic doubling time methods were 3.24 and 1.63 respectively. Estimates from the SI-based method were 1.58 for the CF approach, 1.90 for the LRM, and 1.77 for the SI/N proportion. Since all these values were above one, they predict the observed persistence of the virus in the population. We hypothesize that the observed variation in the estimates is a consequence of the data used. Higher resolution and temporally better defined data would likely reduce this variation. This is the first estimate of R(0) for ASFV in a free range smallholder pig keeping system in sub-Saharan Africa and highlights the requirement for more efficient application of available disease control measures. |
format | Online Article Text |
id | pubmed-4418717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44187172015-05-12 Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda Barongo, Mike B. Ståhl, Karl Bett, Bernard Bishop, Richard P. Fèvre, Eric M. Aliro, Tony Okoth, Edward Masembe, Charles Knobel, Darryn Ssematimba, Amos PLoS One Research Article African swine fever (ASF) is a highly contagious, lethal and economically devastating haemorrhagic disease of domestic pigs. Insights into the dynamics and scale of virus transmission can be obtained from estimates of the basic reproduction number (R (0)). We estimate R (0) for ASF virus in small holder, free-range pig production system in Gulu, Uganda. The estimation was based on data collected from outbreaks that affected 43 villages (out of the 289 villages with an overall pig population of 26,570) between April 2010 and November 2011. A total of 211 outbreaks met the criteria for inclusion in the study. Three methods were used, specifically; (i) GIS- based identification of the nearest infectious neighbour based on the Euclidean distance between outbreaks, (ii) epidemic doubling time, and (iii) a compartmental susceptible-infectious (SI) model. For implementation of the SI model, three approaches were used namely; curve fitting (CF), a linear regression model (LRM) and the SI/N proportion. The R (0) estimates from the nearest infectious neighbour and epidemic doubling time methods were 3.24 and 1.63 respectively. Estimates from the SI-based method were 1.58 for the CF approach, 1.90 for the LRM, and 1.77 for the SI/N proportion. Since all these values were above one, they predict the observed persistence of the virus in the population. We hypothesize that the observed variation in the estimates is a consequence of the data used. Higher resolution and temporally better defined data would likely reduce this variation. This is the first estimate of R(0) for ASFV in a free range smallholder pig keeping system in sub-Saharan Africa and highlights the requirement for more efficient application of available disease control measures. Public Library of Science 2015-05-04 /pmc/articles/PMC4418717/ /pubmed/25938429 http://dx.doi.org/10.1371/journal.pone.0125842 Text en © 2015 Barongo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Barongo, Mike B. Ståhl, Karl Bett, Bernard Bishop, Richard P. Fèvre, Eric M. Aliro, Tony Okoth, Edward Masembe, Charles Knobel, Darryn Ssematimba, Amos Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title | Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title_full | Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title_fullStr | Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title_full_unstemmed | Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title_short | Estimating the Basic Reproductive Number (R(0)) for African Swine Fever Virus (ASFV) Transmission between Pig Herds in Uganda |
title_sort | estimating the basic reproductive number (r(0)) for african swine fever virus (asfv) transmission between pig herds in uganda |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418717/ https://www.ncbi.nlm.nih.gov/pubmed/25938429 http://dx.doi.org/10.1371/journal.pone.0125842 |
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