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Information, opinion and pandemic

Author

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  • Bernardes, Américo T.
  • Ribeiro, Leonardo Costa

Abstract

The world’s population suffers a COVID-19 pandemic. By September 2020 nearly 1 million people had died. These are official numbers. The real cases might be much higher, due to under-reporting in many countries. Different strategies were adopted by national governments. Neglecting what was defined by sanitarian authorities, some politicians, at the beginning of the pandemic, declared that it would be a little flu, without consequences, lighter than seasonal flues. Some politicians propagated medicines with no scientific support. In many countries and regions, people became confused. The population’s reactions to these political positions may facilitate or block the virus spread. In this paper, we propose a model connecting the spreading of opinions with the propagation of a pandemic. We discuss how conflicting opinions can diffuse in the pandemic environment and the influence it has on the population’s behavior; how it may cause a greater or smaller number of infected individuals.

Suggested Citation

  • Bernardes, Américo T. & Ribeiro, Leonardo Costa, 2021. "Information, opinion and pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    • Handle: RePEc:eee:phsmap:v:565:y:2021:i:c:s0378437120308840
    DOI: 10.1016/j.physa.2020.125586
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    References listed on IDEAS

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    1. A. T. Bernardes & U. M. S. Costa & A. D. Araujo & D. Stauffer, 2001. "Damage Spreading, Coarsening Dynamics And Distribution Of Political Votes In Sznajd Model On Square Lattice," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 159-167.
    2. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
    3. Kacperski, Krzysztof & Hołyst, Janusz A., 2000. "Phase transitions as a persistent feature of groups with leaders in models of opinion formation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 631-643.
    4. Jimit R. Majmudar & Stephen M. Krone & Bert O. Baumgaertner & Rebecca C. Tyson, 2020. "Voter models and external influence," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 44(1), pages 1-11, January.
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    Cited by:

    1. Xu, Yuan-Hao & Wang, Hao-Jie & Lu, Zhong-Wen & Hu, Mao-Bin, 2023. "Impact of awareness dissemination on epidemic reaction–diffusion in multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).

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