Pertussis models to inform vaccine policy
Pertussis remains a challenging public health problem with many aspects of infection, disease and immunity poorly understood. Initially controlled by mass vaccination, pertussis resurgence has occurred in some countries with well-established vaccination programs, particularly among adolescents and y...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2015-03-01
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| Series: | Human Vaccines & Immunotherapeutics |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/21645515.2015.1011575 |
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| _version_ | 1850215776978468864 |
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| author | Patricia T Campbell James M McCaw Jodie McVernon |
| author_facet | Patricia T Campbell James M McCaw Jodie McVernon |
| author_sort | Patricia T Campbell |
| collection | DOAJ |
| description | Pertussis remains a challenging public health problem with many aspects of infection, disease and immunity poorly understood. Initially controlled by mass vaccination, pertussis resurgence has occurred in some countries with well-established vaccination programs, particularly among adolescents and young adults. Several studies have used mathematical models to investigate drivers of pertussis epidemiology and predict the likely impact of different vaccination strategies. We reviewed a number of these models to evaluate their suitability to answer questions of public health importance regarding optimal vaccine scheduling. We critically discuss the approaches adopted and the impact of chosen model structures and assumptions on study conclusions. Common limitations were a lack of contemporary, population relevant data for parameterization and a limited understanding of the relationship between infection and disease. We make recommendations for future model development and suggest epidemiologic data collections that would facilitate efforts to reduce uncertainty and improve the robustness of model-derived conclusions. |
| format | Article |
| id | doaj-art-73a1a3334bc24850a3cc2c7991c9eabc |
| institution | OA Journals |
| issn | 2164-5515 2164-554X |
| language | English |
| publishDate | 2015-03-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Human Vaccines & Immunotherapeutics |
| spelling | doaj-art-73a1a3334bc24850a3cc2c7991c9eabc2025-08-20T02:08:31ZengTaylor & Francis GroupHuman Vaccines & Immunotherapeutics2164-55152164-554X2015-03-0111366967810.1080/21645515.2015.1011575Pertussis models to inform vaccine policyPatricia T Campbell0James M McCaw1Jodie McVernon2Melbourne School of Population and Global Health; The University of Melbourne; Parkville, AustraliaMelbourne School of Population and Global Health; The University of Melbourne; Parkville, AustraliaMelbourne School of Population and Global Health; The University of Melbourne; Parkville, AustraliaPertussis remains a challenging public health problem with many aspects of infection, disease and immunity poorly understood. Initially controlled by mass vaccination, pertussis resurgence has occurred in some countries with well-established vaccination programs, particularly among adolescents and young adults. Several studies have used mathematical models to investigate drivers of pertussis epidemiology and predict the likely impact of different vaccination strategies. We reviewed a number of these models to evaluate their suitability to answer questions of public health importance regarding optimal vaccine scheduling. We critically discuss the approaches adopted and the impact of chosen model structures and assumptions on study conclusions. Common limitations were a lack of contemporary, population relevant data for parameterization and a limited understanding of the relationship between infection and disease. We make recommendations for future model development and suggest epidemiologic data collections that would facilitate efforts to reduce uncertainty and improve the robustness of model-derived conclusions.https://www.tandfonline.com/doi/10.1080/21645515.2015.1011575infectious disease dynamicsmathematical modelingpertussistransmissionvaccinesS, susceptible compartment |
| spellingShingle | Patricia T Campbell James M McCaw Jodie McVernon Pertussis models to inform vaccine policy Human Vaccines & Immunotherapeutics infectious disease dynamics mathematical modeling pertussis transmission vaccines S, susceptible compartment |
| title | Pertussis models to inform vaccine policy |
| title_full | Pertussis models to inform vaccine policy |
| title_fullStr | Pertussis models to inform vaccine policy |
| title_full_unstemmed | Pertussis models to inform vaccine policy |
| title_short | Pertussis models to inform vaccine policy |
| title_sort | pertussis models to inform vaccine policy |
| topic | infectious disease dynamics mathematical modeling pertussis transmission vaccines S, susceptible compartment |
| url | https://www.tandfonline.com/doi/10.1080/21645515.2015.1011575 |
| work_keys_str_mv | AT patriciatcampbell pertussismodelstoinformvaccinepolicy AT jamesmmccaw pertussismodelstoinformvaccinepolicy AT jodiemcvernon pertussismodelstoinformvaccinepolicy |