Evidence map›Paper›PMID 23721567›Full record

ArticleParasites & vectors2013

Slaving and release in co-infection control.

Laith Yakob, Gail M Williams, Darren J Gray, Kate Halton, Juan Antonio Solon, Archie C A Clements

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact, top 95% 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

8 citing papers in PubMed, 0 citations in OpenAlex.

  1. Article
  2. Whipworm and roundworm infections.Nature reviews. Disease primers · 2020
    Review
  3. Article
  4. Article
  5. Review
  6. Article
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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 5 institutions in 2 countries.

Laith YakobInfectious Disease Epidemiology Unit, School of Population Health, University of Queensland, Herston, Brisbane, QLD 4006, Australia. laith.yakob@uq.edu.au
Gail M Williams
Darren J Gray
Kate Halton
Juan Antonio Solon
Archie C A Clements
University of Queensland · AUQIMR Berghofer Medical Research Institute · AUQueensland Health · AUQueensland University of Technology · AUUniversity of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnimal and human infection with multiple parasite species is the norm rather than the exception, and empirical studies and animal models have provided evidence for a diverse range of interactions among parasites. We demonstrate how an optimal control strategy should be tailored to the pathogen community and tempered by species-level knowledge of drug sensitivity with use of a simple epidemiological model of gastro-intestinal nematodes.

methodsWe construct a fully mechanistic model of macroparasite co-infection and use it to explore a range of control scenarios involving chemotherapy as well as improvements to sanitation.

resultsScenarios are presented whereby control not only releases a more resistant parasite from antagonistic interactions, but risks increasing co-infection rates, exacerbating the burden of disease. In contrast, synergisms between species result in their becoming epidemiologically slaved within hosts, presenting a novel opportunity for controlling drug resistant parasites by targeting co-circulating species.

conclusionsUnderstanding the effects on control of multi-parasite species interactions, and vice versa, is of increasing urgency in the advent of integrated mass intervention programmes.

Indexed as

AnimalsCoinfectionDrug TherapyHumansModels, TheoreticalNematodaNematode Infections

Identifiers

PMID23721567
PMCPMC3691829
OpenAlexW1591881733

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.