tetano
Editor, Senior Moderator
Proc Math Phys Eng Sci. 2019 Dec;475(2232):20190608. doi: 10.1098/rspa.2019.0608. Epub 2019 Dec 18. [h=1]Interplay between cost and effectiveness in influenza vaccine uptake: a vaccination game approach.[/h]
Arefin MR[SUP]1,[/SUP][SUP]2[/SUP], Masaki T[SUP]1[/SUP], Kabir KMA[SUP]1,[/SUP][SUP]3[/SUP], Tanimoto J[SUP]1,[/SUP][SUP]4[/SUP].
[h=3]Author information[/h] 1 Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan. 2 Department of Mathematics, University of Dhaka, Dhaka-1000, Bangladesh. 3 Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. 4 Faculty of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan.
[h=3]Abstract[/h] Pre-emptive vaccination is regarded as one of the most protective measures to control influenza outbreak. There are mainly two types of influenza viruses-influenza A and B with several subtypes-that are commonly found to circulate among humans. The traditional trivalent (TIV) flu vaccine targets two strains of influenza A and one strain of influenza B. The quadrivalent (QIV) vaccine targets one extra B virus strain that ensures better protection against influenza; however, the use of QIV vaccine can be costly, hence impose an extra financial burden to society. This scenario might create a dilemma in choosing vaccine types at the individual level. This article endeavours to explain such a dilemma through the framework of a vaccination game, where individuals can opt for one of the three options: choose either of QIV or TIV vaccine or none. Our approach presumes a mean-field framework of a vaccination game in an infinite and well-mixed population, entangling the disease spreading process of influenza with the coevolution of two types of vaccination decision-making processes taking place before an epidemic season. We conduct a series of numerical simulations as an attempt to illustrate different scenarios. The framework has been validated by the so-called multi-agent simulation (MAS) approach.
? 2019 The Author(s).
[h=4]KEYWORDS:[/h] epidemic model; influenza vaccine; vaccination game
PMID: 31892839 PMCID: PMC6936611 [Available on 2020-12-01] DOI: 10.1098/rspa.2019.0608
Arefin MR[SUP]1,[/SUP][SUP]2[/SUP], Masaki T[SUP]1[/SUP], Kabir KMA[SUP]1,[/SUP][SUP]3[/SUP], Tanimoto J[SUP]1,[/SUP][SUP]4[/SUP].
[h=3]Author information[/h] 1 Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan. 2 Department of Mathematics, University of Dhaka, Dhaka-1000, Bangladesh. 3 Department of Mathematics, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. 4 Faculty of Engineering Sciences, Kyushu University, Kasuga-koen, Kasuga-shi, Fukuoka 816-8580, Japan.
[h=3]Abstract[/h] Pre-emptive vaccination is regarded as one of the most protective measures to control influenza outbreak. There are mainly two types of influenza viruses-influenza A and B with several subtypes-that are commonly found to circulate among humans. The traditional trivalent (TIV) flu vaccine targets two strains of influenza A and one strain of influenza B. The quadrivalent (QIV) vaccine targets one extra B virus strain that ensures better protection against influenza; however, the use of QIV vaccine can be costly, hence impose an extra financial burden to society. This scenario might create a dilemma in choosing vaccine types at the individual level. This article endeavours to explain such a dilemma through the framework of a vaccination game, where individuals can opt for one of the three options: choose either of QIV or TIV vaccine or none. Our approach presumes a mean-field framework of a vaccination game in an infinite and well-mixed population, entangling the disease spreading process of influenza with the coevolution of two types of vaccination decision-making processes taking place before an epidemic season. We conduct a series of numerical simulations as an attempt to illustrate different scenarios. The framework has been validated by the so-called multi-agent simulation (MAS) approach.
? 2019 The Author(s).
[h=4]KEYWORDS:[/h] epidemic model; influenza vaccine; vaccination game
PMID: 31892839 PMCID: PMC6936611 [Available on 2020-12-01] DOI: 10.1098/rspa.2019.0608