Communication to Promote Healthy Behaviors in Urban Slums in Kenya During COVID-19

  • Funded by Foreign, Commonwealth & Development Office (FCDO), Innovations for Poverty Action
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • start year

    2020
  • Funder

    Foreign, Commonwealth & Development Office (FCDO), Innovations for Poverty Action
  • Principal Investigator

    Timothy Abuya, Karen Austrian, Adan Isaac, Beth Kangwana, Faith Mbushi, Eva Muluve, Daniel Mwanga, Thoai D Ngo, Mercy Nzioki, Rhoune Ochako, Jessie Pinchoff, Ben Tidwell, Corinne White
  • Research Location

    Kenya
  • Lead Research Institution

    Ministry of Health, Kenya
  • Research Priority Alignment

    N/A
  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Community engagement

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Other

  • Occupations of Interest

    Unspecified

Abstract

Sub-Saharan Africa contains many densely overcrowded and poor urban slums at high risk of COVID-19 outbreaks. In these contexts, sanitation and social distancing measures are near impossible, and COVID-19's rapid spread is a devastating prospect. To control the pandemic's spread, the Kenyan Ministry of Health COVID-19 Taskforce has implemented initial prevention and mitigation measures. To inform the Taskforce strategy, this study will deploy rapid phone-based surveys every two weeks on knowledge, attitudes and practices to approximately 7,500 heads of household sampled from existing randomized evaluation cohorts across five urban slums in Nairobi. Baseline findings on awareness of COVID-19 symptoms, perceived risk, awareness of and ability to carry out preventive behaviors, misconceptions, and fears will inform Taskforce interventions. In subsequent rounds, behavior change messages will be randomly assigned to measure effectiveness, or if randomization is not feasible, survey questions on exposure and response to government campaigns will be evaluated using causal inference approaches.