Evidence map›Paper›PMID 28279453›Full record

ArticleEpidemics2017

A comparison of two mathematical models of the impact of mass drug administration on the transmission and control of schistosomiasis.

J E Truscott, D Gurarie, R Alsallaq, J Toor, N Yoon, S H Farrell, H C Turner, A E Phillips, H O Aurelio, J Ferro and 2 more

Abstract readComparative Study
In one paragraph

Article in Epidemics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 · 2024
    Article
  6. How Does Treatment Coverage and Proportion Never Treated Influence the Success of Schistosoma mansoni Elimination as a Public Health Problem by 2030?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Spillover, hybridization, and persistence in schistosome transmission dynamics at the human-animal interface.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Low Praziquantel Treatment Coverage forTropical medicine and infectious disease · 2018
    Article
  19. Article
  20. Are We on Our Way to Achieving the 2020 Goals for Schistosomiasis Morbidity Control Using Current World Health Organization Guidelines?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    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

12 authors.

J E TruscottLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK. Electronic address: j.truscott@imperial.ac.uk.
D GurarieDepartment of Mathematics, Case Western Reserve University, 10900 Euclid Avenue LC: 4983, Cleveland, OH 44106, United States.
R AlsallaqDepartment of Mathematics, Case Western Reserve University, 10900 Euclid Avenue LC: 4983, Cleveland, OH 44106, United States.
J ToorLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.
N YoonCenter for Global Health and Diseases, Case Western Reserve University, 10900 Euclid Avenue LC: 4983, Cleveland, OH 44106, United States.
S H FarrellLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.
H C TurnerLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.
A E PhillipsSchistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.
H O AurelioSchistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.
J FerroUniversidade Catholica de Moçambique, Beira, Mozambique.
C H KingCenter for Global Health and Diseases, Case Western Reserve University, 10900 Euclid Avenue LC: 4983, Cleveland, OH 44106, United States.
R M AndersonLondon Centre for Neglected Tropical Disease Research, Department of Infectious Disease Epidemiology, Imperial College, Norfolk Place, St. Mary's Campus, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The predictions of two mathematical models describing the transmission dynamics of schistosome infection and the impact of mass drug administration are compared. The models differ in their description of the dynamics of the parasites within the host population and in their representation of the stages of the parasite lifecycle outside of the host. Key parameters are estimated from data collected in northern Mozambique from 2011 to 2015. This type of data set is valuable for model validation as treatment prior to the study was minimal. Predictions from both models are compared with each other and with epidemiological observations. Both models have difficulty matching both the intensity and prevalence of disease in the datasets and are only partially successful at predicting the impact of treatment. The models also differ from each other in their predictions, both quantitatively and qualitatively, of the long-term impact of 10 years' school-based mass drug administration. We trace the dynamical differences back to basic assumptions about worm aggregation, force of infection and the dynamics of the parasite in the snail population in the two models and suggest data which could discriminate between them. We also discuss limitations with the datasets used and ways in which data collection could be improved.

Indexed as

Mass Drug AdministrationModels, TheoreticalAnthelminticsHumansPrevalenceSchistosomiasisAnthelminticsMass drug administrationMathematical modellingNeglected tropical diseasesSchistosomiasis

Identifiers

PMID28279453
PMCPMC5340850

What OpenQuestion holds

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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.