ArticleScientific reports2023
Modelling the impact of stigmatisation of Ebola survivors on the disease transmission dynamics.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Ebola disease stigma: mixed methods insights from the 2022 Sudan ebolavirus outbreak.BMJ open · 2025Article
- An hourglass model for conceptualising stigma in infectious disease outbreaks.Scientific reports · 2025Article
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3 authors.
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Abstract
Ebola virus disease (EVD) is one of the most highly stigmatised diseases in any affected country because of the disease's high infectivity and case fatality rate. Infected individuals and most especially survivors are often stigmatised by their communities for fear of contagion. We propose and analyse a mathematical model to examine the impact of stigmatisation of Ebola survivors on the disease dynamics. The model captures both the internal stigmatisation experienced by infected individuals after witnessing survivors being stigmatised and the external stigmatisation imposed on survivors by their communities. The results obtained from our analysis and simulations show that both internal and external stigma may lead to an increase in the burden of Ebola virus disease by sustaining the number of infected individuals who hide their infection and the number of unsafe burials of deceased Ebola victims. Strategies that seek to put an end to both forms of stigmatisation and promote safe burials will therefore go a long way in averting the EVD burden.
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