Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries

Abstract Background Scabies causes considerable morbidity in disadvantaged populations. The International Alliance for the Control of Scabies (IACS) published consensus criteria in 2020 to standardize scabies diagnosis. However, these criteria are complex, and a WHO informal consultation proposed si...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Shu Ki Tsoi, Susanna J. Lake, Li Jun Thean, Alexander Matthews, Oliver Sokana, Mike Kama, Salvador Amaral, Lucia Romani, Margot Whitfeld, Joshua R. Francis, Susana Vaz Nery, Michael Marks, John M. Kaldor, Andrew C. Steer, Daniel Engelman
Formato: article
Lenguaje:EN
Publicado: BMC 2021
Materias:
Acceso en línea:https://doaj.org/article/f9066af69ea4407890273a5310a053d0
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f9066af69ea4407890273a5310a053d0
record_format dspace
spelling oai:doaj.org-article:f9066af69ea4407890273a5310a053d02021-11-14T12:14:44ZEstimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries10.1186/s12889-021-12039-21471-2458https://doaj.org/article/f9066af69ea4407890273a5310a053d02021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12039-2https://doaj.org/toc/1471-2458Abstract Background Scabies causes considerable morbidity in disadvantaged populations. The International Alliance for the Control of Scabies (IACS) published consensus criteria in 2020 to standardize scabies diagnosis. However, these criteria are complex, and a WHO informal consultation proposed simplified criteria for mapping, to identify regions of high prevalence as targets for mass drug administration. We aimed to investigate the accuracy of simplified criteria in determining scabies prevalence, compared to the 2020 IACS criteria. Methods We obtained data relating to demographics, relevant history and skin lesions from all-age prevalence surveys from Fiji (n = 3365) and Solomon Islands (n = 5239), as well as school-aged children in Timor-Leste (n = 1043). We calculated prevalence using the 2020 IACS criteria and simplified criteria and compared these disease estimates. Results There was no significant difference in the pooled prevalence using the two methods (2020 IACS criteria: 16.6%; simplified criteria: 15.6%; difference = 0.9, [95% CI -0.1, 2.0]). In Timor-Leste, the prevalence using simplified criteria was lower (26.5% vs 33.8%). Simplified criteria had a sensitivity of 82.3% (95% CI 80.2, 84.2) and specificity of 97.6% (95% CI 97.2, 97.9) compared to the 2020 IACS criteria. Conclusions The scabies prevalence estimation using simplified criteria was similar to using the 2020 IACS criteria in high prevalence, tropical countries. The prevalence estimation was lower in the school-based survey in Timor-Leste. Mapping using simplified criteria may be a feasible and effective public health tool to identify priority regions for scabies control. Further work assessing use of simplified criteria for mapping in a field setting should be conducted.Shu Ki TsoiSusanna J. LakeLi Jun TheanAlexander MatthewsOliver SokanaMike KamaSalvador AmaralLucia RomaniMargot WhitfeldJoshua R. FrancisSusana Vaz NeryMichael MarksJohn M. KaldorAndrew C. SteerDaniel EngelmanBMCarticleScabiesDiagnosisMappingNeglected tropical diseasesEpidemiological monitoringCross-sectional studiesPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Scabies
Diagnosis
Mapping
Neglected tropical diseases
Epidemiological monitoring
Cross-sectional studies
Public aspects of medicine
RA1-1270
spellingShingle Scabies
Diagnosis
Mapping
Neglected tropical diseases
Epidemiological monitoring
Cross-sectional studies
Public aspects of medicine
RA1-1270
Shu Ki Tsoi
Susanna J. Lake
Li Jun Thean
Alexander Matthews
Oliver Sokana
Mike Kama
Salvador Amaral
Lucia Romani
Margot Whitfeld
Joshua R. Francis
Susana Vaz Nery
Michael Marks
John M. Kaldor
Andrew C. Steer
Daniel Engelman
Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
description Abstract Background Scabies causes considerable morbidity in disadvantaged populations. The International Alliance for the Control of Scabies (IACS) published consensus criteria in 2020 to standardize scabies diagnosis. However, these criteria are complex, and a WHO informal consultation proposed simplified criteria for mapping, to identify regions of high prevalence as targets for mass drug administration. We aimed to investigate the accuracy of simplified criteria in determining scabies prevalence, compared to the 2020 IACS criteria. Methods We obtained data relating to demographics, relevant history and skin lesions from all-age prevalence surveys from Fiji (n = 3365) and Solomon Islands (n = 5239), as well as school-aged children in Timor-Leste (n = 1043). We calculated prevalence using the 2020 IACS criteria and simplified criteria and compared these disease estimates. Results There was no significant difference in the pooled prevalence using the two methods (2020 IACS criteria: 16.6%; simplified criteria: 15.6%; difference = 0.9, [95% CI -0.1, 2.0]). In Timor-Leste, the prevalence using simplified criteria was lower (26.5% vs 33.8%). Simplified criteria had a sensitivity of 82.3% (95% CI 80.2, 84.2) and specificity of 97.6% (95% CI 97.2, 97.9) compared to the 2020 IACS criteria. Conclusions The scabies prevalence estimation using simplified criteria was similar to using the 2020 IACS criteria in high prevalence, tropical countries. The prevalence estimation was lower in the school-based survey in Timor-Leste. Mapping using simplified criteria may be a feasible and effective public health tool to identify priority regions for scabies control. Further work assessing use of simplified criteria for mapping in a field setting should be conducted.
format article
author Shu Ki Tsoi
Susanna J. Lake
Li Jun Thean
Alexander Matthews
Oliver Sokana
Mike Kama
Salvador Amaral
Lucia Romani
Margot Whitfeld
Joshua R. Francis
Susana Vaz Nery
Michael Marks
John M. Kaldor
Andrew C. Steer
Daniel Engelman
author_facet Shu Ki Tsoi
Susanna J. Lake
Li Jun Thean
Alexander Matthews
Oliver Sokana
Mike Kama
Salvador Amaral
Lucia Romani
Margot Whitfeld
Joshua R. Francis
Susana Vaz Nery
Michael Marks
John M. Kaldor
Andrew C. Steer
Daniel Engelman
author_sort Shu Ki Tsoi
title Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
title_short Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
title_full Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
title_fullStr Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
title_full_unstemmed Estimation of scabies prevalence using simplified criteria and mapping procedures in three Pacific and southeast Asian countries
title_sort estimation of scabies prevalence using simplified criteria and mapping procedures in three pacific and southeast asian countries
publisher BMC
publishDate 2021
url https://doaj.org/article/f9066af69ea4407890273a5310a053d0
work_keys_str_mv AT shukitsoi estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT susannajlake estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT lijunthean estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT alexandermatthews estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT oliversokana estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT mikekama estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT salvadoramaral estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT luciaromani estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT margotwhitfeld estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT joshuarfrancis estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT susanavaznery estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT michaelmarks estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT johnmkaldor estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT andrewcsteer estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
AT danielengelman estimationofscabiesprevalenceusingsimplifiedcriteriaandmappingproceduresinthreepacificandsoutheastasiancountries
_version_ 1718429383550566400