Results for Schistosoma haematobium

Publications & Outputs

1. Using a model-based geostatistical approach to design and analyse the prevalence of schistosomiasis in Kenya

   Okoyo, C., Minnery, M., Orowe, I., Owaga, C., Wambugu, C., Olick, N., Hagemann, J., Omondi, W. P., Gichuki, P. M., McCracken, K., Montresor, A., Fronterre, C., Diggle, P. & Mwandawiro, C., 2/11/2023, In: Frontiers in Tropical Diseases. 4, 1240617.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Modelling the age-prevalence relationship in schistosomiasis: A secondary data analysis of school-aged-children in Mangochi District, Lake Malawi.

   Reed, A., O'Ferrall, A., Kayuni, S., Baxter, H., Stanton, M., Stothard, J. R. & Jewell, C., 31/08/2023, In: Parasite epidemiology and control. 22, e00303.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review