Evidence map›Paper›PMID 28088239›Full record

ReviewInfectious diseases of poverty2017

Towards interruption of schistosomiasis transmission in sub-Saharan Africa: developing an appropriate environmental surveillance framework to guide and to support 'end game' interventions.

J Russell Stothard, Suzy J Campbell, Mike Y Osei-Atweneboana, Timothy Durant, Michelle C Stanton, Nana-Kwadwo Biritwum, David Rollinson, Dieudonné R Eloundou Ombede, Louis-Albert Tchuem-Tchuenté

Open access · goldAbstract readReview
In one paragraph

Review in Infectious diseases of poverty, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% of its field
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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Tropical medicine and infectious disease · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Prevalence of humanEClinicalMedicine · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Reconciling Egg- and Antigen-Based Estimates of Schistosoma mansoni Clearance and Reinfection: A Modeling Study.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Evaluation of Loopamp™Frontiers in cellular and infection microbiology · 2021
    Article
  17. Article
  18. Article
  19. Article
  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

9 authors at 5 institutions in 3 countries.

J Russell StothardDepartment of Parasitology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. russell.stothard@lstmed.ac.uk.ORCID http://orcid.org/0000-0002-9370-3420
Suzy J CampbellDepartment of Parasitology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Mike Y Osei-AtweneboanaDepartment of Environmental Biology and Health, Council for Scientific and Industrial Research-Water Research Insitute, P.O. Box M 32, Accra, Ghana.
Timothy DurantDepartment of Parasitology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Michelle C StantonDepartment of Parasitology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Nana-Kwadwo BiritwumNeglected Tropical Diseases Programme, Ghana Health Services, Accra, Ghana.
David RollinsonDepartment of Life Sciences; Natural History Museum, Cromwell Road, London, SW7 5BD, UK.
Dieudonné R Eloundou OmbedeCentre for Schistosomiasis and Parasitology, Yaoundé, Cameroon.
Louis-Albert Tchuem-TchuentéCentre for Schistosomiasis and Parasitology, Yaoundé, Cameroon.
Liverpool School of Tropical Medicine · GBUniversité de Yaoundé I · CMCouncil for Scientific and Industrial Research · GHGhana Health Service · GHNatural History Museum · GB

Funding

Medical Research Council MR/M014975/1
6 · The paper itself

Abstract

Schistosomiasis is a waterborne parasitic disease in sub-Saharan Africa, particularly common in rural populations living in impoverished conditions. With the scale-up of preventive chemotherapy, national campaigns will transition from morbidity- to transmission-focused interventions thus formal investigation of actual or expected declines in environmental transmission is needed as 'end game' scenarios arise. Surprisingly, there are no international or national guidelines to do so in sub-Saharan Africa. Our article therefore provides an introduction to key practicalities and pitfalls in the development of an appropriate environmental surveillance framework. In this context, we discuss how strategies need to be adapted and tailored to the local level to better guide and support future interventions through this transition. As detection of egg-patent infection in people becomes rare, careful sampling of schistosome larvae in freshwater and in aquatic snails with robust species-specific DNA assays will be required. Appropriate metrics, derived from observed prevalence(s) as compared with predetermined thresholds, could each provide a clearer insight into contamination- and exposure-related dynamics. Application could be twofold, first to certify areas currently free from schistosomiasis transmission or second to red-flag recalcitrant locations where extra effort or alternative interventions are needed.

Indexed as

Epidemiological MonitoringAfrica South of the SaharaAnimalsFresh WaterHumansPopulation SurveillanceSchistosomaSchistosomiasisSnailseDNAEnvironmental monitoringFreshwater snailsWASHZoonosis

Identifiers

PMID28088239
PMCPMC5237522
OpenAlexW2574755538

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.