Fig 1.
Flowchart for participant recruitment of 994/1,015 girls and women from the MORBID study who underwent urine microscopy, urinary tract ultrasound, genital PCR, and colposcopy.
Table 1.
Diagnostic test results and prevalence of ‘visual-FGS, ‘molecular-FGS’, and urinary S. haematobium infection across the study population and by the two study districts in Southern-Malawi.
Fig 2.
Distribution of ‘visual FGS’ by EVA MobileODT hand-held colposcopy and ‘molecular FGS’ prevalence across age groups.
The corresponding data are shown in S8 Table. ‘Visual-FGS’ status was significantly associated with age in univariable analysis (Pearson’s chi-squared p-value = 0·001). * ‘Visual-FGS’ status was significantly different (p-value<0·05) in women in the 50+ years-old age group compared to other age-groups. No statistically significant difference between ‘molecular-FGS’ and age groups was observed.
Table 2.
Multivariable logistic regression model parameter estimates with ‘visual FGS’ by EVA MobileODT as the dependent variable in the study population (n = 842).
Table 3.
Logistic regression model parameter estimates with ‘molecular-FGS’ diagnosed by genital PCR as the dependent variable in the study population (n = 842).
Fig 3.
Village level prevalence of (A) ‘Molecular-FGS’, (B) ‘Visual-FGS’ by EVA MobileODT hand-held colposcopy, and (C) ‘Visual-FGS by Smart-Scope assessment (C) in women enrolled in the MORBID-FGS study vs village level prevalence of urine egg-positive S. haematobium in school aged children (SAC) enrolled in the main MORBID study.