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Vector-borne disinformation during disasters and emergencies

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  • Pelen, Neslihan Nesliye
  • Gölgeli, Meltem

Abstract

During disasters and emergencies (earthquakes, pandemics, economic crises etc.), we also face a second challenge, pollution of information. The transmitted information may be false, potentially harmful and speculative. Today, the main source of information seems to be the social media, which behaves as a vector via sharing news. In this manuscript, the concept of the transmission dynamics of vector-borne diseases is adapted to the transmission dynamics of vector-borne disinformation. The dynamical behavior of the model is analyzed, the disinformation-free and disinformation endemic equilibria of the model are found and both their local and global stabilities are presented. Finally, numerical simulations are carried out to support the analytical results of the dynamical transmission of disinformation.

Suggested Citation

  • Pelen, Neslihan Nesliye & Gölgeli, Meltem, 2022. "Vector-borne disinformation during disasters and emergencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
  • Handle: RePEc:eee:phsmap:v:596:y:2022:i:c:s0378437122001698
    DOI: 10.1016/j.physa.2022.127157
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    References listed on IDEAS

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    1. Tara Sadeghieh & Lisa A Waddell & Victoria Ng & Alexandra Hall & Jan Sargeant, 2020. "A scoping review of importation and predictive models related to vector-borne diseases, pathogens, reservoirs, or vectors (1999–2016)," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-15, January.
    2. Simon, Tomer & Goldberg, Avishay & Adini, Bruria, 2015. "Socializing in emergencies—A review of the use of social media in emergency situations," International Journal of Information Management, Elsevier, vol. 35(5), pages 609-619.
    3. Robert West & Jure Leskovec & Christopher Potts, 2021. "Postmortem memory of public figures in news and social media," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(38), pages 2106152118-, September.
    4. Liang’an Huo & Chenyang Ma, 2018. "Optimal Control of Rumor Spreading Model with Consideration of Psychological Factors and Time Delay," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-12, July.
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