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社交媒体热点:将社交媒体整合到传染病动力学中。

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

机构信息

Department of Mathematics and Statistics, The University of the West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago.

出版信息

Bull Math Biol. 2020 Jul 2;82(7):86. doi: 10.1007/s11538-020-00757-4.

Abstract

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.

摘要

社交媒体在疾病爆发期间提醒和教育公众方面发挥着重要作用。通过提高对疾病及其预防措施的认识,可以促使行为发生改变,从而影响接触/发病率。在制定、开发和参数化模型时也可以使用社交媒体数据。随着移动技术的不断发展和普及,社交媒体有望在传染病建模领域发挥越来越重要的作用,以提高其预测能力。本文综述了一般媒体融入现有模型的情况,并强调了社交媒体增强传统房室模型的机会,以便在控制疾病传播方面充分利用这一资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8de/7329999/b01acfd87914/11538_2020_757_Fig1_HTML.jpg

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