Estimation of the epidemiological characteristics of scabies

Scabies is a contagious skin disease caused by Sarcoptes scabiei mite infestation, affecting 400 million people worldwide. Despite this global burden and rising European incidence, fundamental epidemiological characteristics remain unknown. We analyzed symptom onset data from four scabies outbreaks to estimate serial interval. We used surveillance data from the Netherlands (2011-2023) to estimate growth rate and basic and time-varying reproduction numbers. We developed the R package {mitey} which implements the methods used to estimate the serial interval and time-varying reproduction number. Serial interval estimates ranged from 98-167 days with a pooled estimate of 123 days (95% CI: 91, 153). We estimated an annual growth rate of 0.25 (95% CI: 0.20, 0.30) cases per 1000 people and basic reproduction number of 1.09 (95% CI: 1.07, 1.11). Consultations increased over time with seasonal patterns. Transmission peaked in July. Here we show that prevention of 8% of secondary infections through public awareness and targeted measures could control epidemic growth. Our findings underscore the need for better transmission data to inform containment efforts.

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Publication Details

Journal
Nature Communications
Published
2025-11-26
DOI
https://doi.org/10.1038/s41467-025-65544-y
Citations
1
Primary Topic
Dermatological diseases and infestations
Type
article
Field-Weighted Citation Impact
1.40

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article

Estimation of the epidemiological characteristics of scabies

Jacco Wallinga, Mariëtte Hooiveld, Kylie E. C. Ainslie
1 citations
Nature Communications
Dermatological diseases and infestations
1.40
article

Estimation of the epidemiological characteristics of scabies

Jacco Wallinga, Mariëtte Hooiveld, Kylie E. C. Ainslie
article en
1 citations

Abstract

Scabies is a contagious skin disease caused by Sarcoptes scabiei mite infestation, affecting 400 million people worldwide. Despite this global burden and rising European incidence, fundamental epidemiological characteristics remain unknown. We analyzed symptom onset data from four scabies outbreaks to estimate serial interval. We used surveillance data from the Netherlands (2011-2023) to estimate growth rate and basic and time-varying reproduction numbers. We developed the R package {mitey} which implements the methods used to estimate the serial interval and time-varying reproduction number. Serial interval estimates ranged from 98-167 days with a pooled estimate of 123 days (95% CI: 91, 153). We estimated an annual growth rate of 0.25 (95% CI: 0.20, 0.30) cases per 1000 people and basic reproduction number of 1.09 (95% CI: 1.07, 1.11). Consultations increased over time with seasonal patterns. Transmission peaked in July. Here we show that prevention of 8% of secondary infections through public awareness and targeted measures could control epidemic growth. Our findings underscore the need for better transmission data to inform containment efforts.

Nature CommunicationsVol. 16(1)
Leiden University Medical Center (NL), National Institute for Public Health and the Environment (NL), Netherlands Institute for Health Services Research (NL), University of Hong Kong (HK)
European Commission
Openalex Percentile: Top 14%
Dermatological diseases and infestations
1.40
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Estimation of the epidemiological characteristics of scabies — Jacco Wallinga, Mariëtte Hooiveld, et al. · Nature Communications (2025) | TGRS Research Map | TGRS