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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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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. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7329999 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sooknananj trendingonsocialmediaintegratingsocialmediaintoinfectiousdiseasedynamics AT comissiongdmg trendingonsocialmediaintegratingsocialmediaintoinfectiousdiseasedynamics |