Direct and Indirect Effects of Rotavirus Vaccination: Comparing Predictions from Transmission Dynamic Models
Early observations from countries that have introduced rotavirus vaccination suggest that there may be indirect protection for unvaccinated individuals, but it is unclear whether these benefits will extend to the long term. Transmission dynamic models have attempted to quantify the indirect protecti...
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Published in | PloS one Vol. 7; no. 8; p. e42320 |
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Main Authors | , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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13.08.2012
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Abstract | Early observations from countries that have introduced rotavirus vaccination suggest that there may be indirect protection for unvaccinated individuals, but it is unclear whether these benefits will extend to the long term. Transmission dynamic models have attempted to quantify the indirect protection that might be expected from rotavirus vaccination in developed countries, but results have varied. To better understand the magnitude and sources of variability in model projections, we undertook a comparative analysis of transmission dynamic models for rotavirus. We fit five models to reported rotavirus gastroenteritis (RVGE) data from England and Wales, and evaluated outcomes for short- and long-term vaccination effects. All of our models reproduced the important features of rotavirus epidemics in England and Wales. Models predicted that during the initial year after vaccine introduction, incidence of severe RVGE would be reduced 1.8-2.9 times more than expected from the direct effects of the vaccine alone (28-50% at 90% coverage), but over a 5-year period following vaccine introduction severe RVGE would be reduced only by 1.1-1.7 times more than expected from the direct effects (54-90% at 90% coverage). Projections for the long-term reduction of severe RVGE ranged from a 55% reduction at full coverage to elimination with at least 80% coverage. Our models predicted short-term reductions in the incidence of RVGE that exceeded estimates of the direct effects, consistent with observations from the United States and other countries. Some of the models predicted that the short-term indirect benefits may be offset by a partial shifting of the burden of RVGE to older unvaccinated individuals. Nonetheless, even when such a shift occurs, the overall reduction in severe RVGE is considerable. Discrepancies among model predictions reflect uncertainties about age variation in the risk and reporting of RVGE, and the duration of natural and vaccine-induced immunity, highlighting important questions for future research. |
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AbstractList | Early observations from countries that have introduced rotavirus vaccination suggest that there may be indirect protection for unvaccinated individuals, but it is unclear whether these benefits will extend to the long term. Transmission dynamic models have attempted to quantify the indirect protection that might be expected from rotavirus vaccination in developed countries, but results have varied. To better understand the magnitude and sources of variability in model projections, we undertook a comparative analysis of transmission dynamic models for rotavirus. We fit five models to reported rotavirus gastroenteritis (RVGE) data from England and Wales, and evaluated outcomes for short- and long-term vaccination effects. All of our models reproduced the important features of rotavirus epidemics in England and Wales. Models predicted that during the initial year after vaccine introduction, incidence of severe RVGE would be reduced 1.8–2.9 times more than expected from the direct effects of the vaccine alone (28–50% at 90% coverage), but over a 5-year period following vaccine introduction severe RVGE would be reduced only by 1.1–1.7 times more than expected from the direct effects (54–90% at 90% coverage). Projections for the long-term reduction of severe RVGE ranged from a 55% reduction at full coverage to elimination with at least 80% coverage. Our models predicted short-term reductions in the incidence of RVGE that exceeded estimates of the direct effects, consistent with observations from the United States and other countries. Some of the models predicted that the short-term indirect benefits may be offset by a partial shifting of the burden of RVGE to older unvaccinated individuals. Nonetheless, even when such a shift occurs, the overall reduction in severe RVGE is considerable. Discrepancies among model predictions reflect uncertainties about age variation in the risk and reporting of RVGE, and the duration of natural and vaccine-induced immunity, highlighting important questions for future research. Early observations from countries that have introduced rotavirus vaccination suggest that there may be indirect protection for unvaccinated individuals, but it is unclear whether these benefits will extend to the long term. Transmission dynamic models have attempted to quantify the indirect protection that might be expected from rotavirus vaccination in developed countries, but results have varied. To better understand the magnitude and sources of variability in model projections, we undertook a comparative analysis of transmission dynamic models for rotavirus. We fit five models to reported rotavirus gastroenteritis (RVGE) data from England and Wales, and evaluated outcomes for short- and long-term vaccination effects. All of our models reproduced the important features of rotavirus epidemics in England and Wales. Models predicted that during the initial year after vaccine introduction, incidence of severe RVGE would be reduced 1.8-2.9 times more than expected from the direct effects of the vaccine alone (28-50% at 90% coverage), but over a 5-year period following vaccine introduction severe RVGE would be reduced only by 1.1-1.7 times more than expected from the direct effects (54-90% at 90% coverage). Projections for the long-term reduction of severe RVGE ranged from a 55% reduction at full coverage to elimination with at least 80% coverage. Our models predicted short-term reductions in the incidence of RVGE that exceeded estimates of the direct effects, consistent with observations from the United States and other countries. Some of the models predicted that the short-term indirect benefits may be offset by a partial shifting of the burden of RVGE to older unvaccinated individuals. Nonetheless, even when such a shift occurs, the overall reduction in severe RVGE is considerable. Discrepancies among model predictions reflect uncertainties about age variation in the risk and reporting of RVGE, and the duration of natural and vaccine-induced immunity, highlighting important questions for future research.Early observations from countries that have introduced rotavirus vaccination suggest that there may be indirect protection for unvaccinated individuals, but it is unclear whether these benefits will extend to the long term. Transmission dynamic models have attempted to quantify the indirect protection that might be expected from rotavirus vaccination in developed countries, but results have varied. To better understand the magnitude and sources of variability in model projections, we undertook a comparative analysis of transmission dynamic models for rotavirus. We fit five models to reported rotavirus gastroenteritis (RVGE) data from England and Wales, and evaluated outcomes for short- and long-term vaccination effects. All of our models reproduced the important features of rotavirus epidemics in England and Wales. Models predicted that during the initial year after vaccine introduction, incidence of severe RVGE would be reduced 1.8-2.9 times more than expected from the direct effects of the vaccine alone (28-50% at 90% coverage), but over a 5-year period following vaccine introduction severe RVGE would be reduced only by 1.1-1.7 times more than expected from the direct effects (54-90% at 90% coverage). Projections for the long-term reduction of severe RVGE ranged from a 55% reduction at full coverage to elimination with at least 80% coverage. Our models predicted short-term reductions in the incidence of RVGE that exceeded estimates of the direct effects, consistent with observations from the United States and other countries. Some of the models predicted that the short-term indirect benefits may be offset by a partial shifting of the burden of RVGE to older unvaccinated individuals. Nonetheless, even when such a shift occurs, the overall reduction in severe RVGE is considerable. Discrepancies among model predictions reflect uncertainties about age variation in the risk and reporting of RVGE, and the duration of natural and vaccine-induced immunity, highlighting important questions for future research. |
Audience | Academic |
Author | Viboud, Cécile Edmunds, W. John Patel, Manish M. Parashar, Umesh D. de Blasio, Birgitte Freiesleben Atchison, Christina J. Van Effelterre, Thierry Atkins, Katherine E. Harris, John P. Galvani, Alison P. Shim, Eunha Pitzer, Virginia E. Grenfell, Bryan T. Lopman, Ben A. |
AuthorAffiliation | 2 Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America 9 Deparment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America 1 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America 8 Centre for Infections, Department of Gastrointestinal, Emerging and Zoonotic Infections, Health Protection Agency, London, United Kingdom 5 Department of Infectious Diseases Epidemiology, Norwegian Institute of Public Health, Oslo, Norway 3 Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America 4 Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway 6 Global Vaccine Development, GlaxoSmithKline Biologicals, Wavre, Belgium 7 Infectious Diseases Epidemiology Unit, Department of Epidemiology and Population Health, Lo |
AuthorAffiliation_xml | – name: 1 Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America – name: 3 Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America – name: 4 Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway – name: 9 Deparment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America – name: 2 Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America – name: 5 Department of Infectious Diseases Epidemiology, Norwegian Institute of Public Health, Oslo, Norway – name: 10 Epidemiology Branch, Division of Viral Diseases, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America – name: Massey University, New Zealand – name: 6 Global Vaccine Development, GlaxoSmithKline Biologicals, Wavre, Belgium – name: 8 Centre for Infections, Department of Gastrointestinal, Emerging and Zoonotic Infections, Health Protection Agency, London, United Kingdom – name: 7 Infectious Diseases Epidemiology Unit, Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22912699$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 Current address: Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America Conceived and designed the experiments: VEP BFB TVE CJA WJE CV MMP BTG UDP BAL. Performed the experiments: VEP KEA BFB TVE BAL. Analyzed the data: VEP KEA BFB TVE BAL ES APG WJE CV MMP BTG UDP. Contributed reagents/materials/analysis tools: JPH. Wrote the paper: VEP KEA BFB TVE BAL ES APG WJE CV MMP BTG UDP CJA JPH. Competing Interests: K.E.A., E.S., and A.P.G. work as consultants for Sanofi Pasteur, MSD. T.V.E. is an employee of GlaxoSmithKline. This does not alter the authors' adherence to all the PLoS ONE policies on sharing data and materials. |
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SubjectTerms | Biology Comparative analysis Computational Biology - methods Developed countries Disease control Disease prevention Dynamic models Epidemics Epidemiology Evolutionary biology Gastroenteritis Health surveillance Immunity Incidence Infections Infectious diseases Mathematical models Medicine Models, Statistical Mortality Predictions Public health Respiratory diseases Rotavirus Rotavirus - physiology Rotavirus Infections - epidemiology Rotavirus Infections - prevention & control Rotavirus Infections - transmission Time Factors Vaccination Vaccines Viruses |
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Title | Direct and Indirect Effects of Rotavirus Vaccination: Comparing Predictions from Transmission Dynamic Models |
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