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Phillip Bejon

Datos Biográficos

ID9800501
NOMBREPhillip Bejon
NOMBRESPhillip
APELLIDOBejon
FIRMABEJON P
AFILIACIONESKenya Medical Research Institute
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Prevalence, spatial and temporal distribution of tungiasis in the Kilifi Health and Demographic Surveillance System (KHDSS) in Kenya

    Open Access•Nelson Ouma, Samuel K Muchiri et al.•ARTICLE•BMJ Global Health•2026

    INTRODUCTION: Tungiasis is a highly neglected tropical disease of the skin caused by an embedded female sand flea affecting the most resource-poor communities in sub-Saharan Africa, the Caribbean and South America. The global disease burden is unknown and systematic, fine-resolution spatial data on prevalence and environmental and ecological risk factors are rare. METHODS: We leveraged the Kilifi Health and Demographic Surveillance System of 90 2…

Sin obras prominentes en esta página.

  • Prevalence, spatial and temporal distribution of tungiasis in the Kilifi Health and Demographic Surveillance System (KHDSS) in Kenya

    Open Access•Nelson Ouma, Samuel K Muchiri et al.•ARTICLE•BMJ Global Health•2026

    INTRODUCTION: Tungiasis is a highly neglected tropical disease of the skin caused by an embedded female sand flea affecting the most resource-poor communities in sub-Saharan Africa, the Caribbean and South America. The global disease burden is unknown and systematic, fine-resolution spatial data on prevalence and environmental and ecological risk factors are rare. METHODS: We leveraged the Kilifi Health and Demographic Surveillance System of 90 2…

Dermatological diseases and infestations (1 obra) · Epidemiology (1 obra) · Logistic regression (1 obra) · Nail Diseases and Treatments (1 obra) · Odds (1 obra) · Odds ratio (1 obra) · Population (1 obra) · Public health (1 obra) · Rural area (1 obra) · Syphilis Diagnosis and Treatment (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae