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Mathematical Biosciences and Engineering

2016, Volume 13, Issue 2: 249-259. doi: 10.3934/mbe.2015001
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Seasonality and the effectiveness of mass vaccination

  • 1.
    Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109
  • Received: 01 March 2015 Accepted: 29 June 2018 Published: 25 November 2015

  • MSC : Primary: 92D30; Secondary: 34C60, 92B05.

  • Many infectious diseases have seasonal outbreaks, which may be driven by cyclical environmental conditions (e.g., an annual rainy season) or human behavior (e.g., school calendars or seasonal migration).If a pathogen is only transmissible for a limited period of time each year,then seasonal outbreaks could infect fewer individuals than expected given the pathogen's in-season transmissibility.Influenza, with its short serial interval and long season,probably spreads throughout a population until a substantial fraction of susceptible individuals are infected.Dengue, with a long serial interval and shorter season,may be constrained by its short transmission season rather than the depletion of susceptibles.Using mathematical modeling, we show that mass vaccination is most efficient,in terms of infections prevented per vaccine administered,at high levels of coverage for pathogens that have relatively long epidemicseasons, like influenza, and at low levels of coverage for pathogens with short epidemic seasons, like dengue.Therefore, the length of a pathogen's epidemic season may need to beconsidered when evaluating the costs and benefits of vaccination programs.

    Citation: Dennis L. Chao, Dobromir T. Dimitrov. Seasonality and the effectiveness of mass vaccination[J]. Mathematical Biosciences and Engineering, 2016, 13(2): 249-259. doi: 10.3934/mbe.2015001

    Related Papers:

  • Many infectious diseases have seasonal outbreaks, which may be driven by cyclical environmental conditions (e.g., an annual rainy season) or human behavior (e.g., school calendars or seasonal migration).If a pathogen is only transmissible for a limited period of time each year,then seasonal outbreaks could infect fewer individuals than expected given the pathogen's in-season transmissibility.Influenza, with its short serial interval and long season,probably spreads throughout a population until a substantial fraction of susceptible individuals are infected.Dengue, with a long serial interval and shorter season,may be constrained by its short transmission season rather than the depletion of susceptibles.Using mathematical modeling, we show that mass vaccination is most efficient,in terms of infections prevented per vaccine administered,at high levels of coverage for pathogens that have relatively long epidemicseasons, like influenza, and at low levels of coverage for pathogens with short epidemic seasons, like dengue.Therefore, the length of a pathogen's epidemic season may need to beconsidered when evaluating the costs and benefits of vaccination programs.


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    [1] Ecol Lett, 9 (2006), 467-484.
    [2] Oxford University Press, Oxford, United Kingdom, 1991.
    [3] J Theor Biol, 110 (1984), 665-679.
    [4] Am J Trop Med Hyg, 89 (2013), 1066-1080.
    [5] in Current Topics in Microbiology and Immunology: Cholera Outbreaks (eds. G. B. Nair and Y. Takeda), vol. 379, Springer-Verlag, Berlin, 2014, 195-209.
    [6] BMC Infect Dis, 1 (2001), p1.
    [7] Epidemiology, 20 (2009), 344-347.
    [8] J Math Biol, 28 (1990), 365-382.
    [9] PLoS Negl Trop Dis, 8 (2014), e3343.
    [10] Proc Biol Sci, 277 (2010), 2775-2782.
    [11] Clin Infect Dis, 52 (2011), 911-916.
    [12] Clin Microbiol Infect, 18 (2012), 946-954.
    [13] Annu Rev Public Health, 28 (2007), 127-143.
    [14] Rev Infect Dis, 5 (1983), 463-466.
    [15] Proc Biol Sci, 273 (2006), 2541-2550.
    [16] Annu Rev Entomol, 53 (2008), 273-291.
    [17] SIAM Review, 42 (2000), 599-653.
    [18] Proc Biol Sci, 269 (2002), 335-343.
    [19] Proceedings of the Royal Society of London. Series A, 115 (1927), 700-721.
    [20] Proc Natl Acad Sci U S A, 108 (2011), 7460-7465.
    [21] Math Biosci, 23 (1975), 33-46.
    [22] Oxford University Press, Oxford, United Kingdom, 1957.
    [23] Proc Biol Sci, 281 (2014), 20132438.
    [24] Epidemics, 13 (2015), 17-27.
    [25] J Infect Dis, 195 (2007), 1007-1013.
    [26] Math Biosci, 149 (1998), 23-36.
    [27] Math Biosci, 75 (1985), 3-22.
    [28] Influenza Other Respir Viruses, 4 (2010), 295-306.
    [29] Emerg Infect Dis, 14 (2008), 1081-1088.
    [30] Math and Comp Mod, 31 (2000), 207-215.
    [31] Math Biosci, 180 (2002), 29-48.
    [32] World Development, 37 (2009), 399-409.
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  • © 2016 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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