Literature DB >> 21361406

A note on the use of influenza vaccination strategies when supply is limited.

Sunmi Lee1, Romarie Morales, Carlos Castillo-Chavez.   

Abstract

The 2009 A (H1N1) influenza pandemic was rather atypical. It began in North America at the start of the spring and in the following months, as it moved south, efforts to develop a vaccine that would mitigate the potential impact of a second wave were accelerated. The world's limited capacity to produce an adequate vaccine supply over just a few months resulted in the development of public health policies that "had" to optimize the utilization of limited vaccine supplies. Furthermore, even after the vaccine was in production, extensive delays in vaccine distribution were experienced for various reasons. In this note, we use optimal control theory to explore the impact of some of the constraints faced by most nations in implementing a public health policy that tried to meet the challenges that come from having access only to a limited vaccine supply that is never 100% effective.

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Year:  2011        PMID: 21361406     DOI: 10.3934/mbe.2011.8.171

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


  5 in total

1.  Optimal time-profiles of public health intervention to shape voluntary vaccination for childhood diseases.

Authors:  Bruno Buonomo; Piero Manfredi; Alberto d'Onofrio
Journal:  J Math Biol       Date:  2018-11-02       Impact factor: 2.259

Review 2.  Optimal but unequitable prophylactic distribution of vaccine.

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

3.  The Role of Vertical Transmission in the Control of Dengue Fever.

Authors:  David Murillo; Anarina Murillo; Sunmi Lee
Journal:  Int J Environ Res Public Health       Date:  2019-03-05       Impact factor: 3.390

4.  Optimal Allocation of the Limited COVID-19 Vaccine Supply in South Korea.

Authors:  Eunha Shim
Journal:  J Clin Med       Date:  2021-02-04       Impact factor: 4.241

5.  Modeling optimal treatment strategies in a heterogeneous mixing model.

Authors:  Seoyun Choe; Sunmi Lee
Journal:  Theor Biol Med Model       Date:  2015-11-25       Impact factor: 2.432

  5 in total

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