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Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics

Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social media data may also be used when formulating, d...

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Detalles Bibliográficos
Autores principales: Sooknanan, J., Comissiong, D. M. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329999/
https://www.ncbi.nlm.nih.gov/pubmed/32617673
http://dx.doi.org/10.1007/s11538-020-00757-4
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author Sooknanan, J.
Comissiong, D. M. G.
author_facet Sooknanan, J.
Comissiong, D. M. G.
author_sort Sooknanan, J.
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description Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social media data may also be used when formulating, developing and parameterising models. As mobile technology continues to evolve and proliferate, social media is expected to occupy an increasingly prominent role in the field of infectious disease modelling to improve their predictive power. This article presents a review of existing models incorporating media in general and highlights opportunities for social media to enhance traditional compartmental models so as to make the best use of this resource in controlling the spread of disease.
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spelling pubmed-73299992020-07-02 Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics Sooknanan, J. Comissiong, D. M. G. Bull Math Biol Reviews and Tutorials Social media plays an important role in alerting and educating the public during disease outbreaks. By increasing awareness of the disease and its prevention, it can lead to a modification of behaviour which then affects contact/incidence rates. Social media data may also be used when formulating, developing and parameterising models. As mobile technology continues to evolve and proliferate, social media is expected to occupy an increasingly prominent role in the field of infectious disease modelling to improve their predictive power. This article presents a review of existing models incorporating media in general and highlights opportunities for social media to enhance traditional compartmental models so as to make the best use of this resource in controlling the spread of disease. Springer US 2020-07-02 2020 /pmc/articles/PMC7329999/ /pubmed/32617673 http://dx.doi.org/10.1007/s11538-020-00757-4 Text en © Society for Mathematical Biology 2020 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 Reviews and Tutorials
Sooknanan, J.
Comissiong, D. M. G.
Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title_full Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title_fullStr Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title_full_unstemmed Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title_short Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics
title_sort trending on social media: integrating social media into infectious disease dynamics
topic Reviews and Tutorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7329999/
https://www.ncbi.nlm.nih.gov/pubmed/32617673
http://dx.doi.org/10.1007/s11538-020-00757-4
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