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Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology

This paper uses multiagent simulation to examine the effect of various awareness interventions on the spread of preventable diseases in a society. The work deals with the interplay between knowledge diffusion and the spreading of these preventable infections in the population. The knowledge diffusio...

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Detalles Bibliográficos
Autores principales: Tawfik, Ahmed Y., Farag, Rana R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122185/
http://dx.doi.org/10.1007/978-0-387-09695-7_27
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author Tawfik, Ahmed Y.
Farag, Rana R.
author_facet Tawfik, Ahmed Y.
Farag, Rana R.
author_sort Tawfik, Ahmed Y.
collection PubMed
description This paper uses multiagent simulation to examine the effect of various awareness interventions on the spread of preventable diseases in a society. The work deals with the interplay between knowledge diffusion and the spreading of these preventable infections in the population. The knowledge diffusion model combines information acquisition through education, personal experiences, and the spreading of information through a scale-free social network. A conditional probability model is used to model the interdependence between the risk of infection and the level of health awareness acquired. The model is applied to study the spread of HIV/Aids, malaria, and tuberculosis in the South African province Limpopo. The simulation results show that the effect of various awareness interventions can be very different and that a concerted effort to spread health awareness through various channels is more likely to control the spread of these preventable infections in a reasonable time.
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spelling pubmed-71221852020-04-06 Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology Tawfik, Ahmed Y. Farag, Rana R. Artificial Intelligence in Theory and Practice II Article This paper uses multiagent simulation to examine the effect of various awareness interventions on the spread of preventable diseases in a society. The work deals with the interplay between knowledge diffusion and the spreading of these preventable infections in the population. The knowledge diffusion model combines information acquisition through education, personal experiences, and the spreading of information through a scale-free social network. A conditional probability model is used to model the interdependence between the risk of infection and the level of health awareness acquired. The model is applied to study the spread of HIV/Aids, malaria, and tuberculosis in the South African province Limpopo. The simulation results show that the effect of various awareness interventions can be very different and that a concerted effort to spread health awareness through various channels is more likely to control the spread of these preventable infections in a reasonable time. 2008 /pmc/articles/PMC7122185/ http://dx.doi.org/10.1007/978-0-387-09695-7_27 Text en © International Federation for Information Processing 2008 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tawfik, Ahmed Y.
Farag, Rana R.
Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title_full Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title_fullStr Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title_full_unstemmed Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title_short Modeling the Spread of Preventable Diseases: Social Culture and Epidemiology
title_sort modeling the spread of preventable diseases: social culture and epidemiology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7122185/
http://dx.doi.org/10.1007/978-0-387-09695-7_27
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