Evidence map›Paper›PMID 25673299›Full record

ArticleJournal of the Royal Society, Interface2015

Dissecting the determinants of malaria chronicity: why within-host models struggle to reproduce infection dynamics.

Lauren M Childs, Caroline O Buckee

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Competitive suppression and release in artemisinin-resistantEvolution, medicine, and public health · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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
  8. Review
  9. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations.International journal for parasitology. Drugs and drug resistance · 2021
    Review
  10. Article
  11. Article
  12. 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

2 authors at 2 institutions in 1 country.

Lauren M ChildsCenter for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.
Caroline O BuckeeCenter for Communicable Disease Dynamics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA cbuckee@hsph.harvard.edu.
Center for Disease Dynamics, Economics & Policy · USHarvard University · US

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANAGE, WILLIAM · 2009 to 2018
$26.4M
NIGMS NIH HHS U54 GM088558NIGMS NIH HHS U54GM088558
6 · The paper itself

Abstract

The duration of infection is fundamental to the epidemiological behaviour of any infectious disease, but remains one of the most poorly understood aspects of malaria. In endemic areas, the malaria parasite Plasmodium falciparum can cause both acute, severe infections and asymptomatic, chronic infections through its interaction with the host immune system. Frequent superinfection and massive parasite genetic diversity make it extremely difficult to accurately measure the distribution of infection lengths, complicating the estimation of basic epidemiological parameters and the prediction of the impact of interventions. Mathematical models have qualitatively reproduced parasite dynamics early during infection, but reproducing long-lived chronic infections remains much more challenging. Here, we construct a model of infection dynamics to examine the consequences of common biological assumptions for the generation of chronicity and the impact of co-infection. We find that although a combination of host and parasite heterogeneities are capable of generating chronic infections, they do so only under restricted parameter choices. Furthermore, under biologically plausible assumptions, co-infection of parasite genotypes can alter the course of infection of both the resident and co-infecting strain in complex non-intuitive ways. We outline the most important puzzles for within-host models of malaria arising from our analysis, and their implications for malaria epidemiology and control.

Indexed as

AlgorithmsAnimalsAntigensCoinfectionComputer SimulationGenotypeHumansImmune SystemMalaria, FalciparumModels, TheoreticalPlasmodium falciparumStochastic ProcessesTime FactorsAntigenschronic infectionepidemiological modelmalariawithin-host dynamics

Identifiers

PMID25673299
PMCPMC4345506
OpenAlexW2118944684

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.