ArticleEpidemiology and infection2018
Calculation of the age of the first infection for skin sores and scabies in five remote communities in northern Australia.
Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic behavior of a stochastic epidemic model for skin sores: theoretical and computational perspectives.Scientific reports · 2026Article
- Dynamical analysis of scabies delayed epidemic model with second-order global stability.PloS one · 2025Article
- Mathematical model and stability analysis on the transmission dynamics of skin sores.Epidemiology and infection · 2022Article
- Article
- The public health control of scabies: priorities for research and action.Lancet (London, England) · 2019Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prevalence of skin sores and scabies in remote Australian Aboriginal communities remains unacceptably high, with Group A Streptococcus (GAS) the dominant pathogen. We aim to better understand the drivers of GAS transmission using mathematical models. To estimate the force of infection, we quantified the age of first skin sores and scabies infection by pooling historical data from three studies conducted across five remote Aboriginal communities for children born between 2001 and 2005. We estimated the age of the first infection using the Kaplan-Meier estimator; parametric exponential mixture model; and Cox proportional hazards. For skin sores, the mean age of the first infection was approximately 10 months and the median was 7 months, with some heterogeneity in median observed by the community. For scabies, the mean age of the first infection was approximately 9 months and the median was 8 months, with significant heterogeneity by the community and an enhanced risk for children born between October and December. The young age of the first infection with skin sores and scabies reflects the high disease burden in these communities.
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