Study toolkit for: Effectiveness of community-based burden estimation to achieve elimination of lymphatic filariasis: a comparative cross-sectional investigation in Côte d’Ivoire
For lymphatic filariasis (LF) elimination, endemic countries must document the burden of LF morbidity (LFM). In collaboration with the Ministry of Health in Côte d’Ivoire, we developed a strategy for enumeration of LFM through community-based screening (CBS). We implemented this strategy and estimated LFM prevalence in Bongouanou District, Côte d’Ivoire, using a comparative cross-sectional design, with the CBS compared to a population-based prevalence survey led by specially trained local nurses. We evaluated the reliability of case identification, coverage, equity, and cost of CBS. Results showed the CBS to provide comparable prevalence estimates to the prevalence survey, with direct financial costs of$0.17 per individual targeted and $69.62 per case confirmed. Our community-based approach to LFM burden estimation appears scalable and provided reliable prevalence estimates for LFM, scrotal swellings and LF-lymphoedema. In this repository we provide our study toolkit, including all training materials and data collection tools used for the implementation of CBS as well as the clinical training of nurses in the study district, and the tools used during the evaluation survey. (2022-08-09)
Keywords
Lymphatic Filariasis, community healthItem Type | Dataset |
---|---|
Capture method | Unknown |
Date | 9 August 2022 |
Geographical area covered (offline during plugin upgrade) |
North Latitude East Longitude South Latitude West Longitude 6.65829 -4.17276 6.46183 -4.54767 |
Language(s) of written materials | English |
Creator(s) |
Simpson, H |
LSHTM Faculty/Department | Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 30 Aug 2022 12:58 |
Last Modified | 30 May 2024 14:31 |
Publisher | Harvard Dataverse |
No files available. Please consult associated links.
- Harvard Dataverse (Online Data Resource)