Fig 1.
The schistosome endemicity levels (low, medium, high) were stratified based on combined S. mansoni and S. haematobium infection prevalence.
Fig 2.
Maps showing sentinel sites at different administration levels.
The maps were generated using GIS raw data for the schools using ArcMap 10.1. Sentinel sites are italicized and the number of MDA surveys indicated. A. Map showing sentinel sites at province level. B. Maps showing sentinel sites at different administration levels. The maps were generated using GIS raw data for the schools using ArcMap 10.1. Map showing sentinel sites at district level.
Table 1.
Summary study sample sizes by MDA.
Fig 3.
Decline in overall infection prevalence in the cohort of children during the MDAs.
Red bars = pre-treatment infection prevalence for each MDA. Blue bars = post-treatment infection prevalence for each MDA. A. S. haematobium. B. S. mansoni as diagnosed through the Kato-Katz procedure during the MDAs. Red bars = pre treatment infection prevalence for each MDA.
Fig 4.
Decline in overall S. haematobium infection intensity during the MDAs in the cohort of children.
Red bars = pre-treatment infection intensity for each MDA. Blue bars = post treatment infection intensity for each MDA. A. S. haematobium, B. S. mansoni infection intensity as measured by Kato-Katz.
Fig 5.
Decline in the prevalence of S. haematobium morbidity as measured by visible haematuria in the cohort of children.
Fig 6.
Decline in infection prevalence at province level during the MDAs.
A. S. haematobium. B. S. mansoni as measured by Kato-Katz in the cohort of children.
Fig 7.
Changes in prevalence at national level in the cohort of children.
A. S. haematobium. B. S. mansoni. The maps were generated using GIS raw data for the schools using ArcMap 10.1.
Table 2.
Mean egg reduction rate (%).
Table 3.
Mean cure rates (%).
Fig 8.
Relationship between treatment coverage rates and schistosome infection prevalence across the MDAs in the cohort of children.