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|Title:||Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study|
|Authors:||Pitzer, Virginia E.;Bowles, Cayley C.;Baker, Stephen;Kang, Gagandeep;Balaji, Veeraraghavan;Farrar, Jeremy J.;Grenfell, Bryan T.|
|subject:||Biology;Computational Biology;Population Modeling;Infectious Disease Modeling;Population Biology;Epidemiology;Infectious Disease Epidemiology;Population Dynamics;Disease Dynamics;Medicine;Global Health;Infectious Diseases;Infectious Disease Control|
|Publisher:||Public Library of Science|
|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 (R0) 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.|
|Standard no:||Pitzer, Virginia E., Cayley C. Bowles, Stephen Baker, Gagandeep Kang, Veeraraghavan Balaji, Jeremy J. Farrar, and Bryan T. Grenfell. 2014. “Predicting the Impact of Vaccination on the Transmission Dynamics of Typhoid in South Asia: A Mathematical Modeling Study.” PLoS Neglected Tropical Diseases 8 (1): e2642. doi:10.1371/journal.pntd.0002642. http://dx.doi.org/10.1371/journal.pntd.0002642.|
|Appears in Collections:||HSPH Scholarly Articles|
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