Version 1
: Received: 3 December 2022 / Approved: 5 December 2022 / Online: 5 December 2022 (08:28:57 CET)
Version 2
: Received: 22 May 2023 / Approved: 23 May 2023 / Online: 23 May 2023 (08:20:22 CEST)
How to cite:
Tovissodé, C.F.; Glèlè Kakaï, R.L. Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines. Preprints2022, 2022120067. https://doi.org/10.20944/preprints202212.0067.v2
Tovissodé, C.F.; Glèlè Kakaï, R.L. Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines. Preprints 2022, 2022120067. https://doi.org/10.20944/preprints202212.0067.v2
Tovissodé, C.F.; Glèlè Kakaï, R.L. Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines. Preprints2022, 2022120067. https://doi.org/10.20944/preprints202212.0067.v2
APA Style
Tovissodé, C.F., & Glèlè Kakaï, R.L. (2023). Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines. Preprints. https://doi.org/10.20944/preprints202212.0067.v2
Chicago/Turabian Style
Tovissodé, C.F. and Romain Lucas Glèlè Kakaï. 2023 "Analytical Insights Into the Spread of an Epidemic through Joint Modeling of Disease Dynamics and Attitudes towards Prophylactic Measures and Vaccines" Preprints. https://doi.org/10.20944/preprints202212.0067.v2
Abstract
In this age of mass media and, in particular, social media-driven perception of reality, coupling disease and prophylactic opinion dynamics models can provide better insights into disease evolution than using a disease model alone. We develop in this work two disease-opinion dynamics models based on the epidemiology of the new coronavirus disease (COVID-19) and the availability or not of imperfect vaccines. We assume that susceptibility to infection decreases with the level of prophylactic attitude (personal hygiene, social distancing), and changes in prophylactic attitudes of susceptible individuals occur in response to perceived disease prevalence and vaccination coverage and efficacy in the population. We derive and discuss the disease-free equilibriums and reproduction numbers in the introduced models. We further assess the impacts of the distribution of opinions at disease introduction, the ability to detect presymptomatic, asymptomatic and symptomatic positive COVID-19 cases, the behavioural responses to the outbreak and the introduction of vaccination, and the effects of distortions of disease prevalence by public policy and mass media on disease dynamics. The insights highlighted from the proposed models are expected to make informative contributions to public policy in a context of opinion fluxes in response to perceived disease prevalence.
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Romain Lucas Glèlè Kakaï
Commenter's Conflict of Interests: Author