Can the Content of Social Networks Explain Epidemic Outbreaks?

People share and seek information online that reflects a variety of social phenomena, including concerns about health conditions. We analyze how the contents of social networks provide real-time information to monitor and anticipate policies aimed at controlling or mitigating public health outbreaks...

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Detalles Bibliográficos
Autores principales: Gori Maia, Alexandre, Martinez, Jose Daniel Morales, Marteleto, Leticia Junqueira, Rodrigues, Cristina Guimaraes, Sereno, Luiz Gustavo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Research Briefs
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913001/
https://www.ncbi.nlm.nih.gov/pubmed/36817283
http://dx.doi.org/10.1007/s11113-023-09753-7
Descripción
Sumario:People share and seek information online that reflects a variety of social phenomena, including concerns about health conditions. We analyze how the contents of social networks provide real-time information to monitor and anticipate policies aimed at controlling or mitigating public health outbreaks. In November 2020, we collected tweets on the COVID-19 pandemic with content ranging from safety measures, vaccination, health, to politics. We then tested different specifications of spatial econometrics models to relate the frequency of selected keywords with administrative data on COVID-19 cases and deaths. Our results highlight how mentions of selected keywords can significantly explain future COVID-19 cases and deaths in one locality. We discuss two main mechanisms potentially explaining the links we find between Twitter contents and COVID-19 diffusion: risk perception and health behavior.

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