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Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. / Kumacheva, Suriya ; Zhitkova, Ekaterina ; Tomilina, Galina .

Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies: Second International Conference, MSBC 2022, Vilnius, Lithuania, September 21–23, 2022, Proceedings. Springer Nature, 2023. p. 63-77 (Communications in Computer and Information Science ; Vol. 1717).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Kumacheva, S, Zhitkova, E & Tomilina, G 2023, Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. in Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies: Second International Conference, MSBC 2022, Vilnius, Lithuania, September 21–23, 2022, Proceedings. Communications in Computer and Information Science , vol. 1717, Springer Nature, pp. 63-77, Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies, Вильнюс, Lithuania, 21/09/22. https://doi.org/10.1007/978-3-031-33728-4_5

APA

Kumacheva, S., Zhitkova, E., & Tomilina, G. (2023). Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. In Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies: Second International Conference, MSBC 2022, Vilnius, Lithuania, September 21–23, 2022, Proceedings (pp. 63-77). (Communications in Computer and Information Science ; Vol. 1717). Springer Nature. https://doi.org/10.1007/978-3-031-33728-4_5

Vancouver

Kumacheva S, Zhitkova E, Tomilina G. Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. In Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies: Second International Conference, MSBC 2022, Vilnius, Lithuania, September 21–23, 2022, Proceedings. Springer Nature. 2023. p. 63-77. (Communications in Computer and Information Science ). https://doi.org/10.1007/978-3-031-33728-4_5

Author

Kumacheva, Suriya ; Zhitkova, Ekaterina ; Tomilina, Galina . / Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies: Second International Conference, MSBC 2022, Vilnius, Lithuania, September 21–23, 2022, Proceedings. Springer Nature, 2023. pp. 63-77 (Communications in Computer and Information Science ).

BibTeX

@inproceedings{4a2bc2a7d26f4831a0df2f7d24373a95,
title = "Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process",
abstract = "A hypothesis about the influence of the opinion dynamics on the subsequent epidemic process is considered. The existence of relation between the population{\textquoteright}s attitude to vaccination and the dynamics of the influenza epidemic is assumed. Emphasis is placed on the spectrum of opinions of the population: from extremely negative to super-positive. Along with persons who are firmly confident in their point of view and propagandize it, there are doubting agents who make their choice to vaccinate or not under the influence of others{\textquoteright} opinions. Their decisions have an impact on the formation of their personal immunity and of the collective immunity of entire population. Opinion dynamics is assumed to be completed before the seasonal influenza rising incidence starts, and each individuum has decided to vaccinate or not until this moment.The purpose of this study is to identify the relationship between the parameters that characterize the opinions{\textquoteright} influence in the population and the number of people who have been infected (vaccinated and unvaccinated) at the beginning of influenza epidemic.Simulation modeling of the dynamics of opinions is carried out using a network model for graphs of various configuration (grid, strongly connected graph, weakly connected graph). Modeling is carried out in a closed population using statistical data on morbidity and annual vaccination campaigns in Russia. The epidemic (SIR) process is represented by modification of the classical Kermack-McKendrick model (1927). A series of repeated simulations was carried out, a numerical experiment based on statistical data and scenario analysis were performed.",
author = "Suriya Kumacheva and Ekaterina Zhitkova and Galina Tomilina",
note = " Kumacheva, S., Zhitkova, E., Tomilina, G. (2023). Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process. In: Agarwal, N., Kleiner, G.B., Sakalauskas, L. (eds) Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies. MSBC 2022. Communications in Computer and Information Science, vol 1717. Springer, Cham. https://doi.org/10.1007/978-3-031-33728-4_5; Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies : Second International Conference, MSBC 2022 ; Conference date: 21-09-2022 Through 23-09-2022",
year = "2023",
doi = "10.1007/978-3-031-33728-4_5",
language = "English",
isbn = "978-3-031-33727-7",
series = "Communications in Computer and Information Science ",
publisher = "Springer Nature",
pages = "63--77",
booktitle = "Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies",
address = "Germany",
url = "https://msbc.tech/",

}

RIS

TY - GEN

T1 - Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process

AU - Kumacheva, Suriya

AU - Zhitkova, Ekaterina

AU - Tomilina, Galina

N1 - Conference code: 2

PY - 2023

Y1 - 2023

N2 - A hypothesis about the influence of the opinion dynamics on the subsequent epidemic process is considered. The existence of relation between the population’s attitude to vaccination and the dynamics of the influenza epidemic is assumed. Emphasis is placed on the spectrum of opinions of the population: from extremely negative to super-positive. Along with persons who are firmly confident in their point of view and propagandize it, there are doubting agents who make their choice to vaccinate or not under the influence of others’ opinions. Their decisions have an impact on the formation of their personal immunity and of the collective immunity of entire population. Opinion dynamics is assumed to be completed before the seasonal influenza rising incidence starts, and each individuum has decided to vaccinate or not until this moment.The purpose of this study is to identify the relationship between the parameters that characterize the opinions’ influence in the population and the number of people who have been infected (vaccinated and unvaccinated) at the beginning of influenza epidemic.Simulation modeling of the dynamics of opinions is carried out using a network model for graphs of various configuration (grid, strongly connected graph, weakly connected graph). Modeling is carried out in a closed population using statistical data on morbidity and annual vaccination campaigns in Russia. The epidemic (SIR) process is represented by modification of the classical Kermack-McKendrick model (1927). A series of repeated simulations was carried out, a numerical experiment based on statistical data and scenario analysis were performed.

AB - A hypothesis about the influence of the opinion dynamics on the subsequent epidemic process is considered. The existence of relation between the population’s attitude to vaccination and the dynamics of the influenza epidemic is assumed. Emphasis is placed on the spectrum of opinions of the population: from extremely negative to super-positive. Along with persons who are firmly confident in their point of view and propagandize it, there are doubting agents who make their choice to vaccinate or not under the influence of others’ opinions. Their decisions have an impact on the formation of their personal immunity and of the collective immunity of entire population. Opinion dynamics is assumed to be completed before the seasonal influenza rising incidence starts, and each individuum has decided to vaccinate or not until this moment.The purpose of this study is to identify the relationship between the parameters that characterize the opinions’ influence in the population and the number of people who have been infected (vaccinated and unvaccinated) at the beginning of influenza epidemic.Simulation modeling of the dynamics of opinions is carried out using a network model for graphs of various configuration (grid, strongly connected graph, weakly connected graph). Modeling is carried out in a closed population using statistical data on morbidity and annual vaccination campaigns in Russia. The epidemic (SIR) process is represented by modification of the classical Kermack-McKendrick model (1927). A series of repeated simulations was carried out, a numerical experiment based on statistical data and scenario analysis were performed.

UR - https://www.mendeley.com/catalogue/a36523b8-8fb6-303b-9ea7-4669cab16ff4/

U2 - 10.1007/978-3-031-33728-4_5

DO - 10.1007/978-3-031-33728-4_5

M3 - Conference contribution

SN - 978-3-031-33727-7

SN - 978-3-031-33728-4

T3 - Communications in Computer and Information Science

SP - 63

EP - 77

BT - Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies

PB - Springer Nature

T2 - Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies

Y2 - 21 September 2022 through 23 September 2022

ER -

ID: 106445761