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RELY ON SOCIAL NETWORKS TO BETTER UNDERSTAND CITIZENS AND GENERATE SUPPORT FOR PREVENTION MEASURES

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Key facts

  • Disease

    COVID-19

  • Funder

    AFD

  • Principal Investigator

    Unspecified Unspecified Unspecified

  • Research Location

    Cote d'Ivoire

  • Lead Research Institution

    Data Science Institute: Félix Houphouët-Boigny National Polytechnic Institute

  • Research Priority Alignment

    N/A

  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Approaches to public health interventions

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

Difficulties in finding the right measures, in evaluating their impact, increasing mistrust of public authorities : the obstacles to the implementation of policies adapted to respond to the health crisis are numerous. By relying on anonymized data from social networks, this project will provide a better understanding of the expectations and concerns of the populations with regard to health measures. This research aims to help the authorities to reduce the loss of citizens' trust, and therefore to put in place a more effective political response. In summary : a project based on anonymized data from social networks to better understand the expectations and concerns of the populations vis-à-vis the measures taken by the authorities to fight against Covid-19 (curfew, confinement, etc.), in order to reduce the loss of trust in these authorities.