Literature DB >> 21361404

Modelling the strategies for age specific vaccination scheduling during influenza pandemic outbreaks.

Diána H Knipl1, Gergely Röst.   

Abstract

Finding optimal policies to reduce the morbidity and mortality of the ongoing pandemic is a top public health priority. Using a compartmental model with age structure and vaccination status, we examined the effect of age specific scheduling of vaccination during a pandemic influenza outbreak, when there is a race between the vaccination campaign and the dynamics of the pandemic. Our results agree with some recent studies on that age specificity is paramount to vaccination planning. However, little is known about the effectiveness of such control measures when they are applied during the outbreak. Comparing five possible strategies, we found that age specific scheduling can have a huge impact on the outcome of the epidemic. For the best scheme, the attack rates were up to 10% lower than for other strategies. We demonstrate the importance of early start of the vaccination campaign, since ten days delay may increase the attack rate by up to 6%. Taking into account the delay between developing immunity and vaccination is a key factor in evaluating the impact of vaccination campaigns. We provide a general framework which will be useful for the next pandemic waves as well.

Mesh:

Substances:

Year:  2011        PMID: 21361404     DOI: 10.3934/mbe.2011.8.123

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  9 in total

1.  The feasibility of age-specific travel restrictions during influenza pandemics.

Authors:  Elson H Y Lam; Benjamin J Cowling; Alex R Cook; Jessica Y T Wong; Max S Y Lau; Hiroshi Nishiura
Journal:  Theor Biol Med Model       Date:  2011-11-11       Impact factor: 2.432

2.  Vaccination against 2009 pandemic H1N1 in a population dynamical model of Vancouver, Canada: timing is everything.

Authors:  Jessica M Conway; Ashleigh R Tuite; David N Fisman; Nathaniel Hupert; Rafael Meza; Bahman Davoudi; Krista English; P van den Driessche; Fred Brauer; Junling Ma; Lauren Ancel Meyers; Marek Smieja; Amy Greer; Danuta M Skowronski; David L Buckeridge; Jeffrey C Kwong; Jianhong Wu; Seyed M Moghadas; Daniel Coombs; Robert C Brunham; Babak Pourbohloul
Journal:  BMC Public Health       Date:  2011-12-14       Impact factor: 3.295

Review 3.  Optimal but unequitable prophylactic distribution of vaccine.

Authors:  Matt J Keeling; Andrew Shattock
Journal:  Epidemics       Date:  2012-03-07       Impact factor: 4.396

4.  Responding to vaccine safety signals during pandemic influenza: a modeling study.

Authors:  Judith C Maro; Dennis G Fryback; Tracy A Lieu; Grace M Lee; David B Martin
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

5.  Optimal vaccination in a stochastic epidemic model of two non-interacting populations.

Authors:  Edwin C Yuan; David L Alderson; Sean Stromberg; Jean M Carlson
Journal:  PLoS One       Date:  2015-02-17       Impact factor: 3.240

6.  A Novel Dynamic Model for Health Economic Analysis of Influenza Vaccination in the Elderly.

Authors:  Mark Mullikin; Litjen Tan; Jeroen P Jansen; Marc Van Ranst; Norbert Farkas; Eckhardt Petri
Journal:  Infect Dis Ther       Date:  2015-09-09

7.  Determinants of influenza vaccine uptake and willingness to be vaccinated by pharmacists among the active adult population in Hungary: a cross-sectional exploratory study.

Authors:  Githa Fungie Galistiani; Mária Matuz; Nikolett Matuszka; Péter Doró; Krisztina Schváb; Zsófia Engi; Ria Benkő
Journal:  BMC Public Health       Date:  2021-03-17       Impact factor: 3.295

8.  Impact of vaccine prioritization strategies on mitigating COVID-19: an agent-based simulation study using an urban region in the United States.

Authors:  Hanisha Tatapudi; Rachita Das; Tapas K Das
Journal:  BMC Med Res Methodol       Date:  2021-12-05       Impact factor: 4.615

9.  COVID-19 Seroprevalence in Canada Modelling Waning and Boosting COVID-19 Immunity in Canada a Canadian Immunization Research Network Study.

Authors:  David W Dick; Lauren Childs; Zhilan Feng; Jing Li; Gergely Röst; David L Buckeridge; Nick H Ogden; Jane M Heffernan
Journal:  Vaccines (Basel)       Date:  2021-12-23
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.