Evidence map›Paper›PMID 23789029›Full record

ArticleEvolutionary applications2013

Costs of crowding for the transmission of malaria parasites.

Laura C Pollitt, Thomas S Churcher, Emma J Dawes, Shahid M Khan, Mohammed Sajid, María-Gloria Basáñez, Nick Colegrave, Sarah E Reece

Abstract read
In one paragraph

Article in Evolutionary applications, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. What is a vector?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. War and peace: social interactions in infections.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
  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

8 authors.

Laura C PollittInstitute of Evolutionary Biology, University of Edinburgh Edinburgh, UK ; Center for Infectious Disease Dynamics, Pennsylvania State University University Park, PA, USA.
Thomas S Churcher
Emma J Dawes
Shahid M Khan
Mohammed Sajid
María-Gloria Basáñez
Nick Colegrave
Sarah E Reece

Funding

Medical Research Council MR/K010174/1Wellcome Trust 095831
6 · The paper itself

Abstract

The utility of using evolutionary and ecological frameworks to understand the dynamics of infectious diseases is gaining increasing recognition. However, integrating evolutionary ecology and infectious disease epidemiology is challenging because within-host dynamics can have counterintuitive consequences for between-host transmission, especially for vector-borne parasites. A major obstacle to linking within- and between-host processes is that the drivers of the relationships between the density, virulence, and fitness of parasites are poorly understood. By experimentally manipulating the intensity of rodent malaria (Plasmodium berghei) infections in Anopheles stephensi mosquitoes under different environmental conditions, we show that parasites experience substantial density-dependent fitness costs because crowding reduces both parasite proliferation and vector survival. We then use our data to predict how interactions between parasite density and vector environmental conditions shape within-vector processes and onward disease transmission. Our model predicts that density-dependent processes can have substantial and unexpected effects on the transmission potential of vector-borne disease, which should be considered in the development and evaluation of transmission-blocking interventions.

Indexed as

Anopheles stephensidensity dependencedisease transmissionfitness costslife-history strategiesPlasmodium bergheiprogrammed cell deathvector-borne disease

Identifiers

PMID23789029
PMCPMC3684743

What OpenQuestion holds

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LicenceCC BY
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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.