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An Agent-Based Study of the Impact of Sensitization on the Spread of Covid 19 in Burkina Faso

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Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1 (FTC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1288))

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Abstract

Emerging infectious diseases, such as severe acute respiratory syndrome (SARS), pose a major threat to public health. Despite intense research efforts on how, when and where these new diseases appear, they are still a source of considerable uncertainty. An outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS - CoV - 2), appeared in late December 2019 in the city of Wuhan, Hubei province in China and caused an atypical pneumonia called coronavirus 2019 (COVID - 19). On March 11, 2020, the World Health Organization officially declared that Covid-19 is a pandemic. As of April 15, 2020, at least 1,975 cases had been reported since the appearance of the first case on March 09, 2020. We have studied in this paper the dynamics of the spread of the pandemic in Burkina Faso as well as the cures when a good policy of awareness is put in place by the government. We use an agent-based approach. In this paper we are interested in the dynamics of propagation of the pandemic in Burkina Faso as well as the cures when a good awareness policy is implemented by the government. We use an agent-based approach. Awareness is simulated by the dissemination of information in a contact network. The results obtained show that the structure of contact networks has an influence on the information diffusion. As part of Covid-19, simulations show that awareness-raising contributes enormously to stopping the chain of contamination and death.

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Correspondence to Eric Youl .

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Youl, E., Malo, S., Ouaro, S. (2021). An Agent-Based Study of the Impact of Sensitization on the Spread of Covid 19 in Burkina Faso. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer, Cham. https://doi.org/10.1007/978-3-030-63128-4_6

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