S'abonner

The global burden of scabies: a cross-sectional analysis from the Global Burden of Disease Study 2015 - 23/11/17

Doi : 10.1016/S1473-3099(17)30483-8 
Chante Karimkhani, MD a, , Danny V Colombara, PhD b, Aaron M Drucker, MD c, Scott A Norton, MD d, Roderick Hay, MD e, Daniel Engelman, MD f, Andrew Steer, MD f, Margot Whitfeld, FACD g, Mohsen Naghavi, MD b, Robert P Dellavalle, MD a, h, i
a Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA 
b Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA 
c Department of Dermatology, Brown University, Providence, RI, USA 
d Department of Dermatology, Children’s National Medical Center, NW Washington DC, USA 
e Department of Dermatology, King’s College Hospital, Denmark Hill, London, UK 
f Centre for International Child Health and Murdoch Children’s Research Institute, University of Melbourne, Royal Children’s Hospital, Melbourne, VIC, Australia 
g Department of Dermatology, St Vincent’s Hospital, Darlinghurst, Sydney, NSW, Australia 
h Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA 
i Dermatology Service, US Department of Veterans Affairs, Eastern Colorado Health System, Denver, CO, USA 

* Correspondence to: Dr Chante Karimkhani, Department of Dermatology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA Correspondence to: Dr Chante Karimkhani Department of Dermatology University of Colorado Anschutz Medical Campus Aurora CO 80045 USA

Summary

Background

Numerous population-based studies have documented high prevalence of scabies in overcrowded settings, particularly among children and in tropical regions. We provide an estimate of the global burden of scabies using data from the Global Burden of Disease (GBD) Study 2015.

Methods

We identified scabies epidemiological data sources from an extensive literature search and hospital insurance data and analysed data sources with a Bayesian meta-regression modelling tool, DisMod-MR 2·1, to yield prevalence estimates. We combined prevalence estimates with a disability weight, measuring disfigurement, itch, and pain caused by scabies, to produce years lived with disability (YLDs). With an assumed zero mortality from scabies, YLDs were equivalent to disability-adjusted life-years (DALYs). We estimated DALYs for 195 countries divided into 21 world regions, in both sexes and 20 age groups, between 1990 and 2015.

Findings

Scabies was responsible for 0·21% of DALYs from all conditions studied by GBD 2015 worldwide. The world regions of east Asia (age-standardised DALYs 136·32), southeast Asia (134·57), Oceania (120·34), tropical Latin America (99·94), and south Asia (69·41) had the greatest burden of DALYs from scabies. Mean percent change of DALY rate from 1990 to 2015 was less than 8% in all world regions, except North America, which had a 23·9% increase. The five individual countries with greatest scabies burden were Indonesia (age-standardised DALYs 153·86), China (138·25), Timor-Leste (136·67), Vanuatu (131·59), and Fiji (130·91). The largest standard deviations of age-standardised DALYs between the 20 age groups were observed in southeast Asia (60·1), Oceania (58·3), and east Asia (56·5), with the greatest DALY burdens in children, adolescents, and the elderly.

Interpretation

The burden of scabies is greater in tropical regions, especially in children, adolescents, and elderly people. As a worldwide epidemiological assessment, GBD 2015 provides broad and frequently updated measures of scabies burden in terms of skin effects. These global data might help guide research protocols and prioritisation efforts and focus scabies treatment and control measures.

Funding

Bill & Melinda Gates Foundation.

Le texte complet de cet article est disponible en PDF.

Plan


© 2017  The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 17 - N° 12

P. 1247-1254 - décembre 2017 Retour au numéro
Article précédent Article précédent
  • Anti-vaxxers are antisocial
  • Peter Ranscombe
| Article suivant Article suivant
  • Oseltamivir, amantadine, and ribavirin combination antiviral therapy versus oseltamivir monotherapy for the treatment of influenza: a multicentre, double-blind, randomised phase 2 trial
  • John H Beigel, Yajing Bao, Joy Beeler, Weerawat Manosuthi, Alex Slandzicki, Sadia M Dar, John Panuto, Richard L Beasley, Santiago Perez-Patrigeon, Gompol Suwanpimolkul, Marcelo H Losso, Natalie McClure, Dawn R Bozzolo, Christopher Myers, H Preston Holley, Justin Hoopes, H Clifford Lane, Michael D Hughes, Richard T Davey

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2025 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.