ArticleTropical medicine and infectious disease2021
Environmental and Household-Based Spatial Risks for Tungiasis in an Endemic Area of Coastal Kenya.
Article in Tropical medicine and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.
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Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Modelling approaches for predicting the distribution of skin NTDs: A systematic review.PLoS neglected tropical diseases · 2026Pooled it
- Pooled it
- Effectiveness of dimeticone oils versus sodium carbonate solution in the treatment of tungiasis in Kenya: a non-inferiority randomised trial.Tropical medicine and health · 2026Article
- Prevalence, spatial and temporal distribution of tungiasis in the Kilifi Health and Demographic Surveillance System (KHDSS) in Kenya.BMJ global health · 2026Article
- Beyond poverty, tungiasis is associated with family characteristics and parenting behavior: a case control study in Kenya.BMC public health · 2026Article
- Treatment-seeking behaviours of patients with tungiasis in endemic areas of Homa Bay County, Kenya: a mixed-methods study.Tropical medicine and health · 2024Article
- Socio-ecological risk factors associated with human flea infestations of rural household in plague-endemic areas of Madagascar.PLoS neglected tropical diseases · 2024Article
- Identification of tungiasis infection hotspots with a low-cost, high-throughput method for extracting Tunga penetrans (Siphonaptera) off-host stages from soil samples-An observational study.PLoS neglected tropical diseases · 2024Observational
- National prevalence and risk factors for tungiasis in Kenya.Infectious diseases of poverty · 2023Article
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Authors and funding
8 authors.
Funding
Abstract
Tungiasis is a cutaneous parasitosis caused by an embedded female sand flea. The distribution of cases can be spatially heterogeneous even in areas with similar risk profiles. This study assesses household and remotely sensed environmental factors that contribute to the geographic distribution of tungiasis cases in a rural area along the Southern Kenyan Coast. Data on household tungiasis case status, demographic and socioeconomic information, and geographic locations were recorded during regular survey activities of the Health and Demographic Surveillance System, mainly during 2011. Data were joined with other spatial data sources using latitude/longitude coordinates. Generalized additive models were used to predict and visualize spatial risks for tungiasis. The household-level prevalence of tungiasis was 3.4% (272/7925). There was a 1.1% (461/41,135) prevalence of infection among all participants. A significant spatial variability was observed in the unadjusted model (
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