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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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Published in:Population research and policy review 2023-02, Vol.42 (1), p.9-9, Article 9
Main Authors: Gori Maia, Alexandre, Martinez, Jose Daniel Morales, Marteleto, Leticia Junqueira, Rodrigues, Cristina Guimaraes, Sereno, Luiz Gustavo
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description 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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subjects COVID-19
Demography
Dengue fever
Econometrics
Epidemics
Fatalities
Health behavior
Immunization
Infectious diseases
Information dissemination
Internet
Locality
Outbreaks
Pandemics
Population Economics
Public health
Research Briefs
Risk perception
Risk taking
Safety measures
Self evaluation
Social interactions
Social networks
Social organization
Social Sciences
Sociology
Vaccination
Viral diseases
title Can the Content of Social Networks Explain Epidemic Outbreaks?
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