Evidence map›Paper›PMID 29782500›Full record

ArticlePLoS neglected tropical diseases2018

The human-snail transmission environment shapes long term schistosomiasis control outcomes: Implications for improving the accuracy of predictive modeling.

David Gurarie, Nathan C Lo, Martial L Ndeffo-Mbah, David P Durham, Charles H King

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Schistosomiasis in the Military-A Narrative Review.Tropical medicine and infectious disease · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification ofInternational journal of environmental research and public health · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Biomphalaria glabrata immunity: Post-genome advances.Developmental and comparative immunology · 2020
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

David GurarieDepartment of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, Cleveland, Ohio, United States of America.ORCID 0000-0002-5314-7888
Nathan C LoDivision of Epidemiology, Stanford University School of Medicine, Stanford, California, United States of America.
Martial L Ndeffo-MbahYale School of Public Health, Yale University, New Haven, Connecticut, United States of America.
David P DurhamYale School of Public Health, Yale University, New Haven, Connecticut, United States of America.ORCID 0000-0002-4256-7705
Charles H KingCenter for Global Health and Diseases, School of Medicine, Case Western Reserve University, Cleveland, Ohio, United States of America.ORCID 0000-0001-8349-9270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSchistosomiasis is a chronic parasitic trematode disease that affects over 240 million people worldwide. The Schistosoma lifecycle is complex, involving transmission via specific intermediate-host freshwater snails. Predictive mathematical models of Schistosoma transmission have often chosen to simplify or ignore the details of environmental human-snail interaction in their analyses. Schistosome transmission models now aim to provide better precision for policy planning of elimination of transmission. This heightens the importance of including the environmental complexity of vector-pathogen interaction in order to make more accurate projections. METHODOLOGY AND PRINCIPAL

findingsWe propose a nonlinear snail force of infection (FOI) that takes into account an intermediate larval stage (miracidium) and snail biology. We focused, in particular, on the effects of snail force of infection (FOI) on the impact of mass drug administration (MDA) in human communities. The proposed (modified) model was compared to a conventional model in terms of their predictions. A longitudinal dataset generated in Kenya field studies was used for model calibration and validation. For each sample community, we calibrated modified and conventional model systems, then used them to model outcomes for a range of MDA regimens. In most cases, the modified model predicted more vigorous post-MDA rebound, with faster relapse to baseline levels of infection. The effect was pronounced in higher risk communities. When compared to observed data, only the modified system was able to successfully predict persistent rebound of Schistosoma infection. CONCLUSION AND SIGNIFICANCE: The observed impact of varying location-specific snail inputs sheds light on the diverse MDA response patterns noted in operational research on schistosomiasis control, such as the recent SCORE project. Efficiency of human-to-snail transmission is likely to be much higher than predicted by standard models, which, in practice, will make local elimination by implementation of MDA alone highly unlikely, even over a multi-decade period.

Indexed as

AdolescentAdultAnimalsChildChild, PreschoolFemaleHumansInfantKenyaMaleModels, BiologicalModels, TheoreticalSchistosomaSchistosomiasisSnailsYoung Adult

Identifiers

PMID29782500
PMCPMC5983867

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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.