The global health and economic burden of chikungunya from 2011 to 2020: a model-driven analysis on the impact of an emerging vector-borne disease
Résumé fourni par la source
INTRODUCTION: Chikungunya is a mosquito-borne arboviral disease posing an emerging global public health threat. Understanding the global burden of chikungunya is critical for designing effective prevention and control strategies. However, current estimates of the economic and health impact of chikungunya remain limited and are potentially underestimated. This study aims to provide a comprehensive overview of the chikungunya burden worldwide. METHODS: We analysed the global burden of chikungunya between 2011 and 2020 and calculated disability-adjusted life years (DALYs) and direct and indirect costs using a data-driven simulation model. The main outcomes were the number of cases, the total DALY burden, and the direct and indirect costs of acute and chronic chikungunya between 2011 and 2020. RESULTS: Our study revealed a total of 18.7 million chikungunya cases in 110 countries between 2011 and 2020, causing 1.95 million DALYs. Most of this burden was found in the Latin American and Caribbean region. The total economic burden caused by chikungunya over these 10 years was estimated at $2.8 billion in direct costs and $47.1 billion in indirect costs worldwide. Long-term chronic illness was the source of most costs and DALYs. CONCLUSION: Chikungunya has a higher disease burden than was previously estimated and costs related to the disease are substantial. Especially in combination with its unpredictable nature, chikungunya could significantly impact local health systems. Insights from this study could inform decision makers on the impact of chikungunya on population health and help them to appropriately allocate resources to protect vulnerable populations from this debilitating disease.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The global health and economic burden of chikungunya from 2011 to 2020: a model-driven analysis on the impact of an emerging vector-borne disease
- Date Crossref
- 01/12/2024
- Éditeur
- BMJ
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.
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