Using ESPEN data for evidence-based control of neglected tropical diseases in sub-Saharan Africa: A comprehensive model-based geostatistical analysis of soil-transmitted helminths
This study highlights the utility of ESPEN data in assessing spatial variations in STH prevalence across countries using model-based geostatistics. Despite the challenges posed by data sparsity which limit the application of geostatistical models, the insights gained remain crucial for directing focused interventions and shaping future STH assessment strategies within national control programs.
Authors
- Mark Minnery (ORCID: https://orcid.org/0000-0003-1517-3476)
- Jessie Jane Khaki (ORCID: https://orcid.org/0000-0001-5202-5339)
- Emanuele Giorgi (ORCID: https://orcid.org/0000-0003-0640-181X)
Institutions
- University of Liverpool (GB)
- Malawi-Liverpool-Wellcome Trust Clinical Research Programme (MW)
- Kamuzu Central Hospital (MW)
- Kamuzu University of Health Sciences (MW)
- Lancaster University (GB)
Publication Details
- Journal
- PLoS neglected tropical diseases
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1371/journal.pntd.0012782
- Primary Topic
- Parasites and Host Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Society for Clinical Nutrition and Metabolism