Data for: "Morbidity Operational Research for Bilharziasis Implementation Decisions for Girls and Women (MORBID-FGS) cross sectional study"
and Bustinduy, A
(2024).
Data for: "Morbidity Operational Research for Bilharziasis Implementation Decisions for Girls and Women (MORBID-FGS) cross sectional study".
[Dataset].
London School of Hygiene & Tropical Medicine, London, United Kingdom.
10.17037/DATA.00003850.
This collection contains several datasets collected and analysed as part of the MORBID-FGS (Morbidity Operational Research for Bilharziasis Implementation Decisions for Girls and Women) cross sectional study. The aim of this study was to estimate the FGS burden by conventional and novel diagnostic methods in two S. haematobium endemic areas in Malawi. It also assessed the urinary, and sexual and reproductive health (SRH) symptoms associated with FGS. Work was conducted in Nsanje and Chikwawa, Malawi between November 2020 and May 2021. The datasets contain variables on socio-demographic characteristics of the study population, water contact information, and history of urinary, genital, and SRH signs and symptoms. In addition, the datasets also present variables for individual S. haematobium status, and FGS status using both visual and molecular diagnostic methods.
Keywords
Female genital schistosomiasis, Malawi, Burden of disease| Item Type | Dataset |
|---|---|
| Description of data capture | Sixty villages per district were randomly selected for the parent MORBID study, half from high and low prevalence areas, determined by epidemiological mapping reassessment surveys (2017-2019). In each village, 50 individuals from each age groups, including pre-school aged children (2-6 years old), school aged children (7-13 years old), adolescents (14-19 years old), and adults (aged over 20 years old), were randomly selected using household-level random sampling (200 individuals in total). 1,000 girls and women aged 15-65 years old, registered in the MORBID study, were then randomly selected, using simple random sampling, to participate in the cross-sectional MORBID-FGS study. After obtaining written informed consent, participants of the MORBID-FGS study completed a field-validated questionnaire in either English or the national language, administered by a midwife at the local clinic. Questions included socio-demographic characteristics, water contact information, and history of urinary, genital, and SRH signs and symptoms. During the same clinic visit, a midwife captured images of the cervix, fornices and vagina using a EVA MobileODT hand-held colposcope. Additional images were collected on a subgroup of participants using the “Smart-Scope®” hand-held device. Images were evaluated remotely by the study gynaecologis in Malawi and classified as ‘visual-FGS’ if typical lesions were present, and negative if none were observed. In the clinic, midwives also collected a cervicovaginal swab using a Dacron swab which was tested by PCR. Throughout the study, data collection was done electronically through mobile devices and uploaded to a remote server. |
| Capture method | Measurements and tests, Physical measurements and tests |
| Collection Period |
From To November 2020 May 2021 |
| Date | 26 April 2024 |
| Language(s) of written materials | English |
| Creator(s) |
Lamberti, O and Bustinduy, A
|
| LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Clinical Research |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom, Unlimit Health, Centre for Health, Agriculture and Development Research and Consulting (CHAD) |
| Funders |
Project Funder Grant Number Funder URI Morbidity Operational Research for Bilharziasis Implementation Decisions for Girls and Women (MORBID-FGS) cross sectional study UNSPECIFIED UNSPECIFIED |
| Date Deposited | 26 Apr 2024 15:08 |
| Last Modified | 13 Sep 2024 14:47 |
| Publisher | London School of Hygiene & Tropical Medicine |
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subject - Documentation
- Data Sharing Agreement
- Available under Data Sharing Agreement
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info - User guide for MORBID-FGS dataset
html - text/html
- folder_info
- 10kB
