Data for "Prevalence and predictors of Strongyloides stercoralis infections in Necator americanus endemic communities in southern India and Malawi."

Manuel, MORCID logo; Israel, GJORCID logo; Chaima, DORCID logo; Witek-mcmanus, SORCID logo; Kaliappan, SP; Farzana, J; Muthukumaran, A; Sekar, M; Samikwa, L; Simwanza, J; Pilotte, N; Williams, S; Galagan, SR; Walson, JORCID logo; Pullan, RLORCID logo; Bailey, RLORCID logo; Kalua, KORCID logo and Ajjampur, SSORCID logo (2025). Data for "Prevalence and predictors of Strongyloides stercoralis infections in Necator americanus endemic communities in southern India and Malawi.". [Dataset]. London School of Hygiene & Tropical Medicine, London, United Kingdom. 10.17037/DATA.00004855.
Copy

This dataset contains quantitative PCR (qPCR) laboratory results for Strongyloides stercoralis from biobanked stool samples collected during baseline (pre-intervention) assessments of the DeWorm3 community-based cluster randomised trial. Samples were collected from two sites: Tamil Nadu, India (6,091 samples) and Mangochi, Malawi (4,234 samples) during 2017-2018. Demographic, socioeconomic, and environmental data collected during baseline census and surveys used for this analysis are hosted separately at https://doi.org/10.25934/PR00010754.

Keywords

Neglected tropical diseases; soil-transmitted helminths; Strongyloidiasis; India; Malawi

Data / Code

DeWorm3_Baseline_Strongyloides_qPCR_results.csv
subject
Data
lock
Restricted to Request access for all
Available under Creative Commons: Attribution 4.0
info
DeWorm3 Baseline Strongyloides qPCR results data
grid_on
text/csv
folder_info
166kB

Request Copy

Documentation

DeWorm3_Baseline_Strongyloides_qPCR_results_codebook.html
subject
Documentation
Available under Creative Commons: Attribution 4.0
info
Codebook for DeWorm3 Baseline Strongyloides qPCR results data
html
text/html
folder_info
2kB

Download

Atom BibTeX OpenURL ContextObject in Span Multiline CSV OpenURL ContextObject Dublin Core (with Type as Type) MPEG-21 DIDL Data Cite XML EndNote HTML Citation JSON METS MODS RDF+N3 RDF+N-Triples RDF+XML Reference Manager Refer Simple Metadata ASCII Citation EP3 XML
Export

Downloads