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Infectious Diseases and Our PlanetModeling Ebola Transmission Dynamics with Media Effects on Disease and Isolation Rates

Infectious Diseases and Our Planet: Modeling Ebola Transmission Dynamics with Media Effects on... [In this study, we developed a deterministic model for Ebola virus disease. The model uniquely incorporates isolated and non-isolated individuals as well as sexually-infectious individuals. The model is locally asymptotically stable when the reproduction is less than one. We carried out a local sensitivity analysis which shows that the transmission probability, isolation rate, the transition rates from the isolated and non-isolated class can impact the reproduction number. These parameters can be influenced by media coverage; thus we uniquely incorporate into our Ebola model via these parameters the effect of media which encourages infected individuals to seek treatment and remain in treatment facilities. Furthermore, we found that fewer individuals will seek treatment when there is a weak media effect compared to when there is a strong media effect. Our result also shows that as media effect increases the disease burden in the community decreases with a lower epidemic peak which lags behind the epidemic peak from the model without media.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Infectious Diseases and Our PlanetModeling Ebola Transmission Dynamics with Media Effects on Disease and Isolation Rates

Part of the Mathematics of Planet Earth Book Series (volume 7)
Editors: Teboh-Ewungkem, Miranda I.; Ngwa, Gideon Akumah
Oduniyi, Erick; Gibbons, Brad; Oh, Myunghyun; Agusto, Folashade B.
Infectious Diseases and Our Planet — Aug 6, 2020
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References (34)

Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-50825-8
Pages
257 –279
DOI
10.1007/978-3-030-50826-5_10
Publisher site
See Chapter on Publisher Site

Abstract

[In this study, we developed a deterministic model for Ebola virus disease. The model uniquely incorporates isolated and non-isolated individuals as well as sexually-infectious individuals. The model is locally asymptotically stable when the reproduction is less than one. We carried out a local sensitivity analysis which shows that the transmission probability, isolation rate, the transition rates from the isolated and non-isolated class can impact the reproduction number. These parameters can be influenced by media coverage; thus we uniquely incorporate into our Ebola model via these parameters the effect of media which encourages infected individuals to seek treatment and remain in treatment facilities. Furthermore, we found that fewer individuals will seek treatment when there is a weak media effect compared to when there is a strong media effect. Our result also shows that as media effect increases the disease burden in the community decreases with a lower epidemic peak which lags behind the epidemic peak from the model without media.]

Published: Aug 6, 2020

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