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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 |
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creator | Gori Maia, Alexandre Martinez, Jose Daniel Morales Marteleto, Leticia Junqueira Rodrigues, Cristina Guimaraes Sereno, Luiz Gustavo |
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. |
doi_str_mv | 10.1007/s11113-023-09753-7 |
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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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