Evidence map›Paper›PMID 33493192›Full record

ArticlePLoS neglected tropical diseases2021

Variable bites and dynamic populations; new insights in Leishmania transmission.

Samuel Carmichael, Ben Powell, Thomas Hoare, Pegine B Walrad, Jonathan W Pitchford

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Samuel CarmichaelDepartment of Mathematics, University of York, York, UK.ORCID 0000-0001-5803-9942
Ben PowellDepartment of Mathematics, University of York, York, UK.ORCID 0000-0002-0247-7713
Thomas HoareDepartment of Biology, University of York, York, UK.ORCID 0000-0002-0570-1987
Pegine B WalradDepartment of Biology, University of York, York, UK.ORCID 0000-0002-2302-0720
Jonathan W PitchfordDepartment of Mathematics, University of York, York, UK.
University of York · GB

Funding

Medical Research Council MR/L00092X/1Medical Research Council MR/M02640X/1Medical Research Council MR/N017633/1
6 · The paper itself

Abstract

Leishmaniasis is a neglected tropical disease which kills an estimated 50,000 people each year, with its deadly impact confined mainly to lower to middle income countries. Leishmania parasites are transmitted to human hosts by sand fly vectors during blood feeding. Recent experimental work shows that transmission is modulated by the patchy landscape of infection in the host's skin, and the parasite population dynamics within the vector. Here we assimilate these new findings into a simple probabilistic model for disease transmission which replicates recent experimental results, and assesses their relative importance. The results of subsequent simulations, describing random parasite uptake and dynamics across multiple blood meals, show that skin heterogeneity is important for transmission by short-lived flies, but that for longer-lived flies with multiple bites the population dynamics within the vector dominate transmission probability. Our results indicate that efforts to reduce fly lifespan beneath a threshold of around two weeks may be especially helpful in reducing disease transmission.

Indexed as

AnimalsFemaleHumansInsect Bites and StingsInsect VectorsLeishmaniaLeishmaniasisLongevityModels, BiologicalPopulation DynamicsPsychodidaeSkin

Identifiers

PMID33493192
PMCPMC7861551
OpenAlexW3122840996

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.