Evidence map›Paper›PMID 26890485›Full record

ArticlePLoS computational biology2016

Quantifying Transmission Investment in Malaria Parasites.

Megan A Greischar, Nicole Mideo, Andrew F Read, Ottar N Bjørnstad

Abstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Plastic responses ofBiology letters · 2025
    Article
  2. Article
  3. Declines in prevalence alter the optimal level of sexual investment for the malaria parasiteProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Predicting optimal transmission investment in malaria parasites.Evolution; international journal of organic evolution · 2016
    Article
  17. 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

4 authors.

Megan A GreischarDepartment of Entomology and the Center For Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Nicole MideoDepartment of Ecology & Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
Andrew F ReadDepartment of Entomology and the Center For Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.
Ottar N BjørnstadDepartment of Entomology and the Center For Infectious Disease Dynamics, The Pennsylvania State University, University Park, Pennsylvania, United States of America.

Funding

The evolutionary biology of chemotherapy against infectious agents: towards ratiR01GM089932 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI READ, ANDREW F. · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM089932NIGMS NIH HHS R01GM089932
6 · The paper itself

Abstract

Many microparasites infect new hosts with specialized life stages, requiring a subset of the parasite population to forgo proliferation and develop into transmission forms. Transmission stage production influences infectivity, host exploitation, and the impact of medical interventions like drug treatment. Predicting how parasites will respond to public health efforts on both epidemiological and evolutionary timescales requires understanding transmission strategies. These strategies can rarely be observed directly and must typically be inferred from infection dynamics. Using malaria as a case study, we test previously described methods for inferring transmission stage investment against simulated data generated with a model of within-host infection dynamics, where the true transmission investment is known. We show that existing methods are inadequate and potentially very misleading. The key difficulty lies in separating transmission stages produced by different generations of parasites. We develop a new approach that performs much better on simulated data. Applying this approach to real data from mice infected with a single Plasmodium chabaudi strain, we estimate that transmission investment varies from zero to 20%, with evidence for variable investment over time in some hosts, but not others. These patterns suggest that, even in experimental infections where host genetics and other environmental factors are controlled, parasites may exhibit remarkably different patterns of transmission investment.

Indexed as

AnimalsComputational BiologyErythrocytesFemaleLife Cycle StagesMalariaMaleMiceModels, BiologicalPlasmodium chabaudi

Identifiers

PMID26890485
PMCPMC4759450

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.