Literature DB >> 19883541

Use of an inactivated vaccine in mitigating pandemic influenza A(H1N1) spread: a modelling study to assess the impact of vaccination timing and prioritisation strategies.

V Sypsa1, I Pavlopoulou, A Hatzakis.   

Abstract

The impact of prioritization and of timing of vaccination strategies on reducing transmission of pandemic influenza A(H1N1) was evaluated in a community with the structure of the Greek population using a stochastic simulation model. Prioritization scenarios were based on the recommendations of the United States Centers for Disease Control and Prevention Advisory Committee on Immunization Practices and vaccination was assumed to initiate either before or during the ongoing epidemic. In the absence of intervention, an illness attack rate (AR) of 34.5% is anticipated. Vaccinating the priority groups before the epidemic (pregnant women, people who live with or care for children <6 months of age, healthcare/emergency services personnel, children 6 months-4 years old and high-risk children 5-18 years old) will have a negligible impact on the overall AR. Vaccinating the recommended groups before the epidemic (priority groups as well as all persons 6 months-24 years old and high-risk individuals 25-64 years old) is anticipated to result in overall and age-specific ARs within the range of seasonal influenza (5%-15%). Initiating vaccination early during the epidemic (AR<or=1% of the population) is predicted to result in overall ARs up to 15.2%-19.9% depending on daily vaccination coverage rates. When vaccination is initiated at a later stage (AR: 5%), only coverage of 80% of the whole population at intensive daily vaccination rates would be able to reduce ARs to approximately 15%.

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Year:  2009        PMID: 19883541

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


  8 in total

1.  Prioritization of delayed vaccination for pandemic influenza.

Authors:  Eunha Shim
Journal:  Math Biosci Eng       Date:  2011-01       Impact factor: 2.080

2.  Optimal pandemic influenza vaccine allocation strategies for the Canadian population.

Authors:  Ashleigh R Tuite; David N Fisman; Jeffrey C Kwong; Amy L Greer
Journal:  PLoS One       Date:  2010-05-06       Impact factor: 3.240

3.  Canadian family physicians' and paediatricians' knowledge, attitudes and practices regarding A(H1N1) pandemic vaccine.

Authors:  Eve Dubé; Vladimir Gilca; Chantal Sauvageau; Nicole Boulianne; François D Boucher; Julie A Bettinger; Shelly McNeil; Ian Gemmill; France Lavoie; Manale Ouakki
Journal:  BMC Res Notes       Date:  2010-04-14

4.  Optimizing vaccine allocation at different points in time during an epidemic.

Authors:  Laura Matrajt; Ira M Longini
Journal:  PLoS One       Date:  2010-11-11       Impact factor: 3.240

5.  Optimizing Spatial Allocation of COVID-19 Vaccine by Agent-Based Spatiotemporal Simulations.

Authors:  Shuli Zhou; Suhong Zhou; Zhong Zheng; Junwen Lu
Journal:  Geohealth       Date:  2021-06-01

6.  Clinical differences between influenza A (H1N1) virus and respiratory infection between the two waves in 2009 and 2010.

Authors:  Paul Zarogoulidis; Dimitrios Glaros; Ioannis Kioumis; Eirini Terzi; Konstantinos Porpodis; Anastasios Tsiotsios; Anastasios Kallianos; Georgia Trakada; Nikolaos Machairiotis; Aikaterini Stylianaki; Antonis Sakas; Ageliki Rapti; Nikolaos Courcoutsakis; Theodoros C Constantinidis; Efstartios Maltezos; Konstantinos Zarogoulidis
Journal:  Int J Gen Med       Date:  2012-08-13

7.  Optimal vaccine allocation for the early mitigation of pandemic influenza.

Authors:  Laura Matrajt; M Elizabeth Halloran; Ira M Longini
Journal:  PLoS Comput Biol       Date:  2013-03-21       Impact factor: 4.475

8.  Constrained optimal control applied to vaccination for influenza.

Authors:  Jungeun Kim; Hee-Dae Kwon; Jeehyun Lee
Journal:  Comput Math Appl       Date:  2016-01-21       Impact factor: 3.476

  8 in total

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