Evaluation of vaccination strategies during pandemic outbreaks
During pandemic influenza, several factors could significantly impact the outcome of vaccination campaigns, including the delay in pandemic vaccine availability, inadequate protective efficacy, and insufficient number of vaccines to cover the entire population. Here, we incorporate these factors int...
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| Format: | Article |
| Language: | English |
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AIMS Press
2010-12-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.113 |
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| author | Christopher S. Bowman Julien Arino S.M. Moghadas |
| author_facet | Christopher S. Bowman Julien Arino S.M. Moghadas |
| author_sort | Christopher S. Bowman |
| collection | DOAJ |
| description | During pandemic influenza, several factors could significantly impact the outcome of vaccination campaigns, including the delay in pandemic vaccine availability, inadequate protective efficacy, and insufficient number of vaccines to cover the entire population. Here, we incorporate these factors into a vaccination model to investigate and compare the effectiveness of the single-dose and two-dose vaccine strategies. The results show that, if vaccination starts early enough after the onset of the outbreak, a two-dose strategy can lead to a greater reduction in the total number of infections. This, however, requires the second dose of vaccine to confer a substantially higher protection compared to that induced by the first dose. For a sufficiently long delay in start of vaccination, the single-dose strategy outperforms the two-dose vaccination program regardless of its protection efficacy. The findings suggest that the population-wide benefits of a single-dose strategy could in general be greater than the two-dose vaccination program, in particular when the second dose offers marginal increase in the protection induced by the first dose. |
| format | Article |
| id | doaj-art-79e5a749040d45ae84815daf371810de |
| institution | Kabale University |
| issn | 1551-0018 |
| language | English |
| publishDate | 2010-12-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj-art-79e5a749040d45ae84815daf371810de2025-01-24T02:01:20ZengAIMS PressMathematical Biosciences and Engineering1551-00182010-12-018111312210.3934/mbe.2011.8.113Evaluation of vaccination strategies during pandemic outbreaksChristopher S. Bowman0Julien Arino1S.M. Moghadas2Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Avenue, Winnipeg, MB, R3B 1Y6Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Avenue, Winnipeg, MB, R3B 1Y6Institute for Biodiagnostics, National Research Council Canada, 435 Ellice Avenue, Winnipeg, MB, R3B 1Y6During pandemic influenza, several factors could significantly impact the outcome of vaccination campaigns, including the delay in pandemic vaccine availability, inadequate protective efficacy, and insufficient number of vaccines to cover the entire population. Here, we incorporate these factors into a vaccination model to investigate and compare the effectiveness of the single-dose and two-dose vaccine strategies. The results show that, if vaccination starts early enough after the onset of the outbreak, a two-dose strategy can lead to a greater reduction in the total number of infections. This, however, requires the second dose of vaccine to confer a substantially higher protection compared to that induced by the first dose. For a sufficiently long delay in start of vaccination, the single-dose strategy outperforms the two-dose vaccination program regardless of its protection efficacy. The findings suggest that the population-wide benefits of a single-dose strategy could in general be greater than the two-dose vaccination program, in particular when the second dose offers marginal increase in the protection induced by the first dose.https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.113vaccination strategiesdelay differential equations.pandemic influenzaepidemic modelsvaccine efficacy |
| spellingShingle | Christopher S. Bowman Julien Arino S.M. Moghadas Evaluation of vaccination strategies during pandemic outbreaks Mathematical Biosciences and Engineering vaccination strategies delay differential equations. pandemic influenza epidemic models vaccine efficacy |
| title | Evaluation of vaccination strategies during pandemic outbreaks |
| title_full | Evaluation of vaccination strategies during pandemic outbreaks |
| title_fullStr | Evaluation of vaccination strategies during pandemic outbreaks |
| title_full_unstemmed | Evaluation of vaccination strategies during pandemic outbreaks |
| title_short | Evaluation of vaccination strategies during pandemic outbreaks |
| title_sort | evaluation of vaccination strategies during pandemic outbreaks |
| topic | vaccination strategies delay differential equations. pandemic influenza epidemic models vaccine efficacy |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2011.8.113 |
| work_keys_str_mv | AT christophersbowman evaluationofvaccinationstrategiesduringpandemicoutbreaks AT julienarino evaluationofvaccinationstrategiesduringpandemicoutbreaks AT smmoghadas evaluationofvaccinationstrategiesduringpandemicoutbreaks |