The Effect of Resistance to Epidemic Measures on Disease Spread and Mortality 'Äì What'Äôs the Role of Online Misinformation?

Grant number: 101107454

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2023
    2025
  • Known Financial Commitments (USD)

    $228,695.4
  • Funder

    European Commission
  • Principal Investigator

    CAMARDA Carlo Giovanni
  • Research Location

    France
  • Lead Research Institution

    INSTITUT NATIONAL D'ETUDES DEMOGRAPHIQUES
  • Research Priority Alignment

    N/A
  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • Special Interest Tags

    Data Management and Data Sharing

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Aim: The REMEDY project will provide innovative interdisciplinary empirical research that explores the driver and health consequences of resistant behaviour against epidemic measures, leveraging social science insights, economic and statistical methods and data science techniques. Background: In the advent of the COVID-19 pandemic, one pressing challenge for the public health response is the general resistance to legitimate public health policies driven by news media, influencers, extremist politicians, and rampant misinformation circulated on the internet 'Äì a potential information disorder due to an 'Äúinfodemic'Äù. There is, however, little understanding of the mechanism through which these potentially malicious messages propagate and how they, in turn, influence the behaviour of the population in opposing vaccine, mask-wearing, mobility restrictions, social distancing, and consequently leading to higher levels of morbidity and mortality. Methods: This project employs different quantitative and research methodologies to estimate the effects of behavioural resistance on the epidemic spread and excess mortality and whether online misinformation explains this resistance behaviour. First, we link real-world data on vaccine refusal, fines for non-compliance and the frequency and scale of anti-mask/vax/digital COVID-19 certificate protests to the local epidemic spread, hospitalisation and excess mortality rate over time. Second, after identifying the different types of online misinformation on COVID-19 and vaccines, we use geo-tagged digital records on search engines and social media to analyse the association between online sentiments towards public health measures and real-world resistance behaviour at a specific geographic unit. Impact: The project will not only provide hard evidence on the linkage between resistance behaviour and population health outcomes, but will also present the gravity of precariously allowing misinformation to flourish on the internet.