Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule

Rotavirus infection is a common cause of severe diarrheal disease and a major cause of deaths and hospitalizations among young children. Incidence of rotavirus has declined globally with increasing vaccine coverage. However, it remains a significant cause of morbidity and mortality in low-income...

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Main Authors: Geard, Nicholas, Bradhurst, Richard, Tellioglu, Nefel, Oktaria, Vicka, McVernon, Jodie, Handley, Amanda, Bines, Julie E.
Format: Article
Language:English
Published: Taylor & Francis 2022
Subjects:
Online Access:https://repository.ugm.ac.id/283416/1/250.pdf
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author Geard, Nicholas
Bradhurst, Richard
Tellioglu, Nefel
Oktaria, Vicka
McVernon, Jodie
Handley, Amanda
Bines, Julie E.
author_facet Geard, Nicholas
Bradhurst, Richard
Tellioglu, Nefel
Oktaria, Vicka
McVernon, Jodie
Handley, Amanda
Bines, Julie E.
author_sort Geard, Nicholas
collection UGM
description Rotavirus infection is a common cause of severe diarrheal disease and a major cause of deaths and hospitalizations among young children. Incidence of rotavirus has declined globally with increasing vaccine coverage. However, it remains a significant cause of morbidity and mortality in low-income countries where vaccine access is limited and efficacy is lower. The oral human neonatal vaccine RV3- BB can be safely administered earlier than other vaccines, and recent trials in Indonesia have demonstrated high efficacy. In this study, we use a stochastic individual-based model of rotavirus transmission and disease to estimate the anticipated population-level impact of RV3-BB following delivery according to either an infant (2, 4, 6 months) and neonatal (0, 2, 4 months) schedule. Using our model, which incorporated an age- and household-structured population and estimates of vaccine efficacy derived from trial data, we found both delivery schedules to be effective at reducing infection and disease. We estimated 95–96% reductions in infection and disease in children under 12 months of age when vaccine coverage is 85%. We also estimate high levels of indirect protection from vaccination, including 78% reductions in infection in adults over 17 years of age. Even for lower vaccine coverage of 55%, we estimate reductions of 84% in infection and disease in children under 12 months of age. While open questions remain about the drivers of observed lower efficacy in low-income settings, our model suggests RV3-BB could be effective at reducing infection and preventing disease in young infants at the population level.
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spelling oai:generic.eprints.org:2834162023-11-21T02:51:30Z https://repository.ugm.ac.id/283416/ Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule Geard, Nicholas Bradhurst, Richard Tellioglu, Nefel Oktaria, Vicka McVernon, Jodie Handley, Amanda Bines, Julie E. Infectious Diseases Rotavirus infection is a common cause of severe diarrheal disease and a major cause of deaths and hospitalizations among young children. Incidence of rotavirus has declined globally with increasing vaccine coverage. However, it remains a significant cause of morbidity and mortality in low-income countries where vaccine access is limited and efficacy is lower. The oral human neonatal vaccine RV3- BB can be safely administered earlier than other vaccines, and recent trials in Indonesia have demonstrated high efficacy. In this study, we use a stochastic individual-based model of rotavirus transmission and disease to estimate the anticipated population-level impact of RV3-BB following delivery according to either an infant (2, 4, 6 months) and neonatal (0, 2, 4 months) schedule. Using our model, which incorporated an age- and household-structured population and estimates of vaccine efficacy derived from trial data, we found both delivery schedules to be effective at reducing infection and disease. We estimated 95–96% reductions in infection and disease in children under 12 months of age when vaccine coverage is 85%. We also estimate high levels of indirect protection from vaccination, including 78% reductions in infection in adults over 17 years of age. Even for lower vaccine coverage of 55%, we estimate reductions of 84% in infection and disease in children under 12 months of age. While open questions remain about the drivers of observed lower efficacy in low-income settings, our model suggests RV3-BB could be effective at reducing infection and preventing disease in young infants at the population level. Taylor & Francis 2022-11-30 Article PeerReviewed application/pdf en https://repository.ugm.ac.id/283416/1/250.pdf Geard, Nicholas and Bradhurst, Richard and Tellioglu, Nefel and Oktaria, Vicka and McVernon, Jodie and Handley, Amanda and Bines, Julie E. (2022) Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule. Human Vaccines and Immunotherapeutics, 18 (6). p. 2139097. 10.1080/21645515.2022.2139097
spellingShingle Infectious Diseases
Geard, Nicholas
Bradhurst, Richard
Tellioglu, Nefel
Oktaria, Vicka
McVernon, Jodie
Handley, Amanda
Bines, Julie E.
Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title_full Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title_fullStr Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title_full_unstemmed Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title_short Model-based estimation of the impact on rotavirus disease of RV3-BB vaccine administered in a neonatal or infant schedule
title_sort model based estimation of the impact on rotavirus disease of rv3 bb vaccine administered in a neonatal or infant schedule
topic Infectious Diseases
url https://repository.ugm.ac.id/283416/1/250.pdf
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