ArticleParasites & vectors2019
Determining post-treatment surveillance criteria for predicting the elimination of Schistosoma mansoni transmission.
Article in Parasites & vectors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analyses of Schistosoma japonicum infections in wild rodents across China over time indicates a potential challenge to the 2030 elimination targets.PLoS neglected tropical diseases · 2020Pooled it
- Local habitual movement as a mechanism for Schistosoma mansoni transmission resurgence: a causal analysis of cross-sectional survey data.BMJ public health · 2026Article
- A cross-sectional study on schistosomiasis prevalence, intensity and risk factors in Kassala State, Sudan.Scientific reports · 2025Article
- How improvements to drug effectiveness impact mass drug administration for control and elimination of schistosomiasis.PLoS neglected tropical diseases · 2025Article
- Improving the Cost-efficiency of Preventive Chemotherapy: Impact of New Diagnostics on Stopping Decisions for Control of Schistosomiasis.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
- How correlations between treatment access and surveillance inclusion impact neglected tropical disease monitoring and evaluation-A simulated study.PLoS neglected tropical diseases · 2023Article
- Translating From Egg- to Antigen-Based Indicators forFrontiers in tropical diseases · 2022Article
- Determining the optimal strategies to achieve elimination of transmission for Schistosoma mansoni.Parasites & vectors · 2022Article
- What Can Modeling Tell Us About Sustainable End Points for Neglected Tropical Diseases?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021Article
- Revisiting density-dependent fecundity in schistosomes using sibship reconstruction.PLoS neglected tropical diseases · 2021Article
- How modelling can help steer the course set by the World Health Organization 2021-2030 roadmap on neglected tropical diseases.Gates open research · 2021Article
- Defining a prevalence level to describe the elimination of Lymphatic Filariasis (LF) transmission and designing monitoring & evaluating (M&E) programmes post the cessation of mass drug administration (MDA).PLoS neglected tropical diseases · 2020Article
- When, Who, and How to Sample: Designing Practical Surveillance for 7 Neglected Tropical Diseases as We Approach Elimination.The Journal of infectious diseases · 2020Article
- Insights from quantitative and mathematical modelling on the proposed WHO 2030 goal for schistosomiasis.Gates open research · 2019Article
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8 authors.
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Abstract
backgroundThe World Health Organization (WHO) has set elimination (interruption of transmission) as an end goal for schistosomiasis. However, there is currently little guidance on the monitoring and evaluation strategy required once very low prevalence levels have been reached to determine whether elimination or resurgence of the disease will occur after stopping mass drug administration (MDA) treatment.
methodsWe employ a stochastic individual-based model of Schistosoma mansoni transmission and MDA impact to determine a prevalence threshold, i.e. prevalence of infection, which can be used to determine whether elimination or resurgence will occur after stopping treatment with a given probability. Simulations are run for treatment programmes with varying probabilities of achieving elimination and for settings where adults harbour low to high burdens of infection. Prevalence is measured based on using a single Kato-Katz on two samples per individual. We calculate positive predictive values (PPV) using PPV ≥ 0.9 as a reliable measure corresponding to ≥ 90% certainty of elimination. We analyse when post-treatment surveillance should be carried out to predict elimination. We also determine the number of individuals across a single community (of 500-1000 individuals) that should be sampled to predict elimination.
resultsWe find that a prevalence threshold of 1% by single Kato-Katz on two samples per individual is optimal for predicting elimination at two years (or later) after the last round of MDA using a sample size of 200 individuals across the entire community (from all ages). This holds regardless of whether the adults have a low or high burden of infection relative to school-aged children.
conclusionsUsing a prevalence threshold of 0.5% is sufficient for surveillance six months after the last round of MDA. However, as such a low prevalence can be difficult to measure in the field using Kato-Katz, we recommend using 1% two years after the last round of MDA. Higher prevalence thresholds of 2% or 5% can be used but require waiting over four years for post-treatment surveillance. Although, for treatment programmes where elimination is highly likely, these higher thresholds could be used sooner. Additionally, switching to more sensitive diagnostic techniques, will allow for a higher prevalence threshold to be employed.
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