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Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design

BACKGROUND: The CYD-TDV vaccine was unusual in that the recommended target population for vaccination was originally defined not only by age, but also by transmission setting as defined by seroprevalence. WHO originally recommended countries consider vaccination against dengue with CYD-TDV vaccine i...

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Autores principales: Imai, Natsuko, Ferguson, Neil M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019750/
https://www.ncbi.nlm.nih.gov/pubmed/29944696
http://dx.doi.org/10.1371/journal.pone.0199450
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author Imai, Natsuko
Ferguson, Neil M.
author_facet Imai, Natsuko
Ferguson, Neil M.
author_sort Imai, Natsuko
collection PubMed
description BACKGROUND: The CYD-TDV vaccine was unusual in that the recommended target population for vaccination was originally defined not only by age, but also by transmission setting as defined by seroprevalence. WHO originally recommended countries consider vaccination against dengue with CYD-TDV vaccine in geographic settings only where prior infection with any dengue serotype, as measured by seroprevalence, was >170% in the target age group. Vaccine was not recommended in settings where seroprevalence was <50%. Test-and-vaccinate strategies suggested following new analysis by Sanofi will still require age-stratified seroprevalence surveys to optimise age-group targeting. Here we address considerations for serosurvey design in the context of vaccination program planning. METHODS: To explore how the design of seroprevalence surveys affects estimates of transmission intensity, 100 age-specific seroprevalence surveys were simulated using a beta-binomial distribution and a simple catalytic model for different combinations of age-range, survey size, transmission setting, and test sensitivity/specificity. We then used a Metropolis-Hastings Markov Chain Monte-Carlo algorithm to estimate the force of infection from each simulated dataset. RESULTS: Sampling from a wide age-range led to more accurate estimates than merely increasing sample size in a narrow age-range. This finding was consistent across all transmission settings. The optimum test sensitivity and specificity given an imperfect test differed by setting with high sensitivity being important in high transmission settings and high specificity important in low transmission settings. CONCLUSIONS: When assessing vaccination suitability by seroprevalence surveys, countries should ensure an appropriate age-range is sampled, considering epidemiological evidence about the local burden of disease.
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spelling pubmed-60197502018-07-07 Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design Imai, Natsuko Ferguson, Neil M. PLoS One Research Article BACKGROUND: The CYD-TDV vaccine was unusual in that the recommended target population for vaccination was originally defined not only by age, but also by transmission setting as defined by seroprevalence. WHO originally recommended countries consider vaccination against dengue with CYD-TDV vaccine in geographic settings only where prior infection with any dengue serotype, as measured by seroprevalence, was >170% in the target age group. Vaccine was not recommended in settings where seroprevalence was <50%. Test-and-vaccinate strategies suggested following new analysis by Sanofi will still require age-stratified seroprevalence surveys to optimise age-group targeting. Here we address considerations for serosurvey design in the context of vaccination program planning. METHODS: To explore how the design of seroprevalence surveys affects estimates of transmission intensity, 100 age-specific seroprevalence surveys were simulated using a beta-binomial distribution and a simple catalytic model for different combinations of age-range, survey size, transmission setting, and test sensitivity/specificity. We then used a Metropolis-Hastings Markov Chain Monte-Carlo algorithm to estimate the force of infection from each simulated dataset. RESULTS: Sampling from a wide age-range led to more accurate estimates than merely increasing sample size in a narrow age-range. This finding was consistent across all transmission settings. The optimum test sensitivity and specificity given an imperfect test differed by setting with high sensitivity being important in high transmission settings and high specificity important in low transmission settings. CONCLUSIONS: When assessing vaccination suitability by seroprevalence surveys, countries should ensure an appropriate age-range is sampled, considering epidemiological evidence about the local burden of disease. Public Library of Science 2018-06-26 /pmc/articles/PMC6019750/ /pubmed/29944696 http://dx.doi.org/10.1371/journal.pone.0199450 Text en © 2018 Imai, Ferguson http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Imai, Natsuko
Ferguson, Neil M.
Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title_full Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title_fullStr Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title_full_unstemmed Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title_short Targeting vaccinations for the licensed dengue vaccine: Considerations for serosurvey design
title_sort targeting vaccinations for the licensed dengue vaccine: considerations for serosurvey design
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019750/
https://www.ncbi.nlm.nih.gov/pubmed/29944696
http://dx.doi.org/10.1371/journal.pone.0199450
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