Evidence map›Paper›PMID 28183336›Full record

ArticleParasites & vectors2017

Assessing the impact of intervention strategies against Taenia solium cysticercosis using the EPICYST transmission model.

Peter Winskill, Wendy E Harrison, Michael D French, Matthew A Dixon, Bernadette Abela-Ridder, María-Gloria Basáñez

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
4.6field-weighted citation impact, top 5% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  12. CystiHuman: A model of human neurocysticercosis.PLoS computational biology · 2022
    Article
  13. Optimal control analysis ofParasite epidemiology and control · 2022
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  16. Review
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  20. Modelling forBulletin of the World Health Organization · 2020
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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

6 authors at 4 institutions in 3 countries.

Peter WinskillMedical Research Council Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, London, W2 1PG, UK.
Wendy E HarrisonSchistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary's Campus, London, W2 1PG, UK.
Michael D FrenchSchistosomiasis Control Initiative, Department of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St. Mary's Campus, London, W2 1PG, UK.
Matthew A DixonDepartment of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, London, W2 1PG, UK.
Bernadette Abela-RidderNeglected Zoonotic Diseases Team, Department of Neglected Tropical Diseases (NTD), World Health Organization (WHO), 20 Avenue Appia, 1211, Geneva 27, Switzerland.
María-Gloria BasáñezDepartment of Infectious Disease Epidemiology, School of Public Health, Faculty of Medicine, Imperial College London, St Mary's Campus, London, W2 1PG, UK. m.basanez@imperial.ac.uk.ORCID 0000-0001-5031-3361
Imperial College London · GBSt Mary's Hospital · GBTriangle · USWorld Health Organization · CH

Funding

Biotechnology and Biological Sciences Research Council BB/I015957/1Medical Research CouncilWellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

backgroundThe pork tapeworm, Taenia solium, and associated human infections, taeniasis, cysticercosis and neurocysticercosis, are serious public health problems, especially in developing countries. The World Health Organization (WHO) has set goals for having a validated strategy for control and elimination of T. solium taeniasis/cysticercosis by 2015 and interventions scaled-up in selected countries by 2020. Timely achievement of these internationally-endorsed targets requires that the relative benefits and effectiveness of potential interventions be explored rigorously within a quantitative framework.

methodsA deterministic, compartmental transmission model (EPICYST) was developed to capture the dynamics of the taeniasis/cysticercosis disease system in the human and pig hosts. Cysticercosis prevalence in humans, an outcome of high epidemiological and clinical importance, was explicitly modelled. A next generation matrix approach was used to derive an expression for the basic reproduction number, R

resultsEPICYST outputs indicate that chemotherapeutic intervention targeted at humans or pigs would be highly effective at reducing taeniasis and cysticercosis prevalence when applied singly, with annual chemotherapy of humans and pigs resulting, respectively, in 94 and 74% of human cysticercosis cases averted. Improved sanitation, meat inspection and animal husbandry are less effective but are still able to reduce prevalence singly or in combination. The value of R

conclusionsHuman- and pig-targeted drug-focussed interventions appear to be the most efficacious approach from the options currently available. The model presented is a forward step towards developing an informed control and elimination strategy for cysticercosis. Together with its validation against field data, EPICYST will be a valuable tool to help reach the WHO goals and to conduct economic evaluations of interventions in varying epidemiological settings.

Indexed as

AnimalsCysticercosisHumansModels, BiologicalModels, TheoreticalRed MeatSwineSwine DiseasesTaenia soliumBasic reproduction numberCysticercosisEPICYSTInterventionLatin-hypercube samplingMathematical modellingNeurocysticercosisPartial rank correlation coefficient indexTaeniasisTaenia soliumTapeworm

Identifiers

PMID28183336
PMCPMC5301381
OpenAlexW2586357004

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.