Establishing a standard method for analysing case detection delay in leprosy using a Bayesian modelling approach.

Hambridge, Thomas; Coffeng, Luc E; de Vlas, Sake J; Richardus, Jan Hendrik

Hambridge, Thomas; Coffeng, Luc E; de Vlas, Sake J; Richardus, Jan Hendrik.

Afiliación

Hambridge T; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. t.hambridge@erasmusmc.nl.
Coffeng LE; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
de Vlas SJ; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Richardus JH; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

Infect Dis Poverty ; 12(1): 12, 2023 Feb 20.

Article en En | MEDLINE | ID: mdl-36800979

Asunto(s)

Lepra Multibacilar; Lepra Paucibacilar; Lepra; Humanos; Teorema de Bayes; Lepra/diagnóstico; Lepra/epidemiología; Lepra/tratamiento farmacológico; Mycobacterium leprae

Palabras clave

Bayesian approach; Case detection delay; Epidemiological methods; Leprosy; Neglected tropical diseases; Statistical model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lepra Multibacilar / Lepra Paucibacilar / Lepra Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Infect Dis Poverty Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

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