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Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study

BACKGROUND: Modeling of the transmission dynamics of typhoid allows for an evaluation of the potential direct and indirect effects of vaccination; however, relevant typhoid models rooted in data have rarely been deployed. METHODOLOGY/PRINCIPAL FINDINGS: We developed a parsimonious age-structured mod...

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Autores principales: Pitzer, Virginia E., Bowles, Cayley C., Baker, Stephen, Kang, Gagandeep, Balaji, Veeraraghavan, Farrar, Jeremy J., Grenfell, Bryan T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886927/
https://www.ncbi.nlm.nih.gov/pubmed/24416466
http://dx.doi.org/10.1371/journal.pntd.0002642
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author Pitzer, Virginia E.
Bowles, Cayley C.
Baker, Stephen
Kang, Gagandeep
Balaji, Veeraraghavan
Farrar, Jeremy J.
Grenfell, Bryan T.
author_facet Pitzer, Virginia E.
Bowles, Cayley C.
Baker, Stephen
Kang, Gagandeep
Balaji, Veeraraghavan
Farrar, Jeremy J.
Grenfell, Bryan T.
author_sort Pitzer, Virginia E.
collection PubMed
description BACKGROUND: Modeling of the transmission dynamics of typhoid allows for an evaluation of the potential direct and indirect effects of vaccination; however, relevant typhoid models rooted in data have rarely been deployed. METHODOLOGY/PRINCIPAL FINDINGS: We developed a parsimonious age-structured model describing the natural history and immunity to typhoid infection. The model was fit to data on culture-confirmed cases of typhoid fever presenting to Christian Medical College hospital in Vellore, India from 2000–2012. The model was then used to evaluate the potential impact of school-based vaccination strategies using live oral, Vi-polysaccharide, and Vi-conjugate vaccines. The model was able to reproduce the incidence and age distribution of typhoid cases in Vellore. The basic reproductive number (R (0)) of typhoid was estimated to be 2.8 in this setting. Vaccination was predicted to confer substantial indirect protection leading to a decrease in the incidence of typhoid in the short term, but (intuitively) typhoid incidence was predicted to rebound 5–15 years following a one-time campaign. CONCLUSIONS/SIGNIFICANCE: We found that model predictions for the overall and indirect effects of vaccination depend strongly on the role of chronic carriers in transmission. Carrier transmissibility was tentatively estimated to be low, consistent with recent studies, but was identified as a pivotal area for future research. It is unlikely that typhoid can be eliminated from endemic settings through vaccination alone.
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spelling pubmed-38869272014-01-10 Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study Pitzer, Virginia E. Bowles, Cayley C. Baker, Stephen Kang, Gagandeep Balaji, Veeraraghavan Farrar, Jeremy J. Grenfell, Bryan T. PLoS Negl Trop Dis Research Article BACKGROUND: Modeling of the transmission dynamics of typhoid allows for an evaluation of the potential direct and indirect effects of vaccination; however, relevant typhoid models rooted in data have rarely been deployed. METHODOLOGY/PRINCIPAL FINDINGS: We developed a parsimonious age-structured model describing the natural history and immunity to typhoid infection. The model was fit to data on culture-confirmed cases of typhoid fever presenting to Christian Medical College hospital in Vellore, India from 2000–2012. The model was then used to evaluate the potential impact of school-based vaccination strategies using live oral, Vi-polysaccharide, and Vi-conjugate vaccines. The model was able to reproduce the incidence and age distribution of typhoid cases in Vellore. The basic reproductive number (R (0)) of typhoid was estimated to be 2.8 in this setting. Vaccination was predicted to confer substantial indirect protection leading to a decrease in the incidence of typhoid in the short term, but (intuitively) typhoid incidence was predicted to rebound 5–15 years following a one-time campaign. CONCLUSIONS/SIGNIFICANCE: We found that model predictions for the overall and indirect effects of vaccination depend strongly on the role of chronic carriers in transmission. Carrier transmissibility was tentatively estimated to be low, consistent with recent studies, but was identified as a pivotal area for future research. It is unlikely that typhoid can be eliminated from endemic settings through vaccination alone. Public Library of Science 2014-01-09 /pmc/articles/PMC3886927/ /pubmed/24416466 http://dx.doi.org/10.1371/journal.pntd.0002642 Text en © 2014 Pitzer 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
Pitzer, Virginia E.
Bowles, Cayley C.
Baker, Stephen
Kang, Gagandeep
Balaji, Veeraraghavan
Farrar, Jeremy J.
Grenfell, Bryan T.
Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title_full Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title_fullStr Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title_full_unstemmed Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title_short Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study
title_sort predicting the impact of vaccination on the transmission dynamics of typhoid in south asia: a mathematical modeling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3886927/
https://www.ncbi.nlm.nih.gov/pubmed/24416466
http://dx.doi.org/10.1371/journal.pntd.0002642
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