Evidence map›Paper›PMID 40944433›Full record

ArticleTropical medicine & international health : TM & IH2025

Tracing the Itch: A Spatiotemporal Analysis of Scabies Rates and Its Risk Factors Using the Global Burden of Disease 2021 Data.

Saptorshi Gupta, Simon Thornley, Arthur Morris, Gerhard Sundborn, Cameron Grant

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In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Saptorshi GuptaSection of Biostatistics and Epidemiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-9216-8545
Simon ThornleySection of Biostatistics and Epidemiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Arthur MorrisLabPlus, Auckland City Hospital, Auckland, New Zealand.
Gerhard SundbornSection of Pacific Health, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Cameron GrantDepartment of Pediatrics, Child and Youth Health, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.

Funding

Health Research Council of New Zealand 22/269
6 · The paper itself

Abstract

BACKGROUND AND

objectivesScabies is a neglected disease believed to be more prevalent in resource-poor nations. Published data describing global trends in scabies incidence and prevalence rates and factors associated with global regional differences are limited. Identifying regions with scabies prevalence rates over 10% and implementing mass-drug administration is recommended. We aimed to identify global high-risk areas to facilitate region-specific targeted interventions.

methodsData on scabies incidence and prevalence in 204 countries and regions from 1990 to 2021 were extracted from the Global Burden of Disease database. Temporal trends in age-standardised rates were estimated using Joinpoint regression. Local indicators of spatial association were used to determine contiguous areas of high prevalence. The association of socio-demographic and economic factors with scabies was determined using locally weighted scatterplot smoothing and log-normal regression models.

resultsGlobal prevalence of scabies in 2021 was 2.71% (95% confidence interval [CI]: 2.41% to 3.04%). Age-standardised rates of scabies have marginally declined globally from 1990 to 2021 with an Average Annual Percentage Change (AAPC) of -0.10 (95% CI: -0.05 to -0.14) for incidence and -0.09 (95% CI: -0.05 to -0.14) for prevalence. Spatial clustering of high scabies prevalence was present in tropical Latin America, Southeast Asia, and the Pacific Islands. Rates have shown an increasing trend over time in high-income regions such as Australasia and parts of Europe. Scabies rates have increased over time in high-middle and high sociodemographic index regions. There is a significant positive association between warmer latitudes with increasing urbanisation and scabies prevalence.

conclusionOwing to the exploratory nature of the GBD data, our findings are hypothesis generating, rather than confirmatory. Scabies prevalence remains high in several global regions. Progress to reduce scabies prevalence is slow with existing programmes. Scabies control policies should be further prioritised to accelerate progress in reducing the prevalence of this important tropical disease.

Indexed as

Global Burden of DiseasePruritusScabiesGlobal HealthHumansIncidencePrevalenceRisk FactorsSocioeconomic FactorsSpatio-Temporal Analysisincidenceprevalencerisk factorsscabiestrends

Identifiers

PMID40944433
PMCPMC12588804

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.