ArticleThe Journal of infectious diseases2020
Design and Analysis of Elimination Surveys for Neglected Tropical Diseases.
Article in The Journal of infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06808789 (Mapping Snakebite Risk in Ghana and Rwanda), which is not on this map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Mapping Snakebite Risk in Ghana and Rwanda: Using Primary Data Collection and Geostatistical Techniques to Develop an Approach to Risk Estimation for Snakebite
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Modelling approaches for predicting the distribution of skin NTDs: A systematic review.PLoS neglected tropical diseases · 2026Pooled it
- A national geostatistical survey for schistosomiasis and soil-transmitted helminths in Zimbabwe following interruption of preventive chemotherapy.BMC global and public health · 2026Article
- Using Model-Based Geostatistics to Refine Population-Based Estimates of Trachoma Prevalence: Update from a Technical Consultation.The American journal of tropical medicine and hygiene · 2025Article
- Balancing access, precision, and equity in adaptive test site allocation with an application to COVID-19 in Atlanta, Georgia.Scientific reports · 2025Article
- Characterizing trachoma elimination using serology.Nature communications · 2025Article
- Reactive case detection can improve the efficiency of lymphatic filariasis surveillance compared to random sampling, Samoa 2023.PLoS neglected tropical diseases · 2025Article
- Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods.BMC global and public health · 2025Article
- Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections.PLoS computational biology · 2025Article
- 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.PLoS neglected tropical diseases · 2025Article
- Cost-effectiveness of comparative survey designs for helminth control programs: Post-hoc cost analysis and modelling of the Kenyan national school-based deworming program.PLoS neglected tropical diseases · 2024Article
- Understanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya.BMC medical research methodology · 2024Article
- Triple-drug therapy with ivermectin, diethylcarbamazine and albendazole for the acceleration of lymphatic filariasis elimination in Kenya: Programmatic implementation and results of the first impact assessment.PLoS neglected tropical diseases · 2024Article
- A Comparison of Markov and Mechanistic Models for Soil-Transmitted Helminth Prevalence Projections in the Context of Survey Design.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Age-group associations of schistosomiasis prevalence from trial data, Côte d'Ivoire, Kenya and the United Republic of Tanzania.Bulletin of the World Health Organization · 2024Article
- Modernizing the design and analysis of prevalence surveys for neglected tropical diseases.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Baseline soil-transmitted helminth and schistosome infection in the Geshiyaro project, Ethiopia: A unique transmission interruption project using biometric fingerprinting for longitudinal individual analysis.PLoS neglected tropical diseases · 2023Article
- Using model-based geostatistics for assessing the elimination of trachoma.PLoS neglected tropical diseases · 2023Article
- Spatial predictive risk mapping of lymphatic filariasis residual hotspots in American Samoa using demographic and environmental factors.PLoS neglected tropical diseases · 2023Article
- Geographically regulated designs of incidence surveys can match the precision of classical survey designs whilst requiring smaller sample sizes: the case of snakebite envenoming in Sri Lanka.BMJ global health · 2022Article
- Defining elimination as a public health problem for schistosomiasis control programmes: beyond prevalence of heavy-intensity infections.The Lancet. Global health · 2022Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As neglected tropical diseases approach elimination status, there is a need to develop efficient sampling strategies for confirmation (or not) that elimination criteria have been met. This is an inherently difficult task because the relative precision of a prevalence estimate deteriorates as prevalence decreases, and classic survey sampling strategies based on random sampling therefore require increasingly large sample sizes. More efficient strategies for survey design and analysis can be obtained by exploiting any spatial correlation in prevalence within a model-based geostatistics framework. This framework can be used for constructing predictive probability maps that can inform in-country decision makers of the likelihood that their elimination target has been met, and where to invest in additional sampling. We evaluated our methodology using a case study of lymphatic filariasis in Ghana, demonstrating that a geostatistical approach outperforms approaches currently used to determine an evaluation unit's elimination status.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.