Evidence map›Paper›PMID 23241282›Full record

ArticleMalaria journal2012

Malaria parasite diversity and transmission intensity affect development of parasitological immunity in a mathematical model.

Philip A Eckhoff

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
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  7. Article
  8. Spatial dynamics of malaria transmission.PLoS computational biology · 2023
    Article
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  10. Article
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  12. Article
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  16. Model-Informed Drug Development for Malaria Therapeutics.Annual review of pharmacology and toxicology · 2018
    Review
  17. Review
  18. Article
  19. Impact of mosquito gene drive on malaria elimination in a computational model with explicit spatial and temporal dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2017
    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

1 author at 1 institution in 1 country.

Philip A EckhoffIntellectual Ventures Laboratory, 1600 132nd Ave NE, Bellevue, WA 98004, USA. peckhoff@intven.com
Intellectual Ventures (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe development of parasitological immunity against malaria affects the ability to detect infection, the efficiency of the local human parasite reservoir at infecting mosquitoes, and the response to reintroduction of parasites to previously cleared areas. Observations of similar age-trends in detected prevalence and mean parasitaemia across more than an order-of-magnitude of variation in baseline transmission complicate simple exposure-driven explanations.

methodsMathematical models often employ age-dependent immune factors to match the observed trends, while the present model uses a new detailed mechanistic model of parasite transmission dynamics to explain age-trends through the mechanism of parasite diversity. Illustrative simulations are performed for multiple field sites in Tanzania and Nigeria, and observed age-trends and seasonality in parasite prevalence are recreated in silico, proffering possible mechanistic explanations of the observational data.

resultsObserved temporal dynamics in measured parasitaemia are recreated for each location and age-prevalence outputs are studied. Increasing population-level diversity in malaria surface antigens delays development of broad parasitological immunity. A local parasite population with high diversity can recreate the observed trends in age-prevalence across more than an order of magnitude of variation in transmission intensities.

conclusionsMechanistic models of human immunity and parasite antigen diversity can recreate the observed temporal patterns for the development of parasitological immunity across a wide range of transmission intensities. This has implications for the distribution of disease burden across the population, the human transmission reservoir, design of elimination campaigns, and development and roll-out of potential vaccines.

Indexed as

Models, ImmunologicalAdolescentAdultAge FactorsAnimalsAnophelesAntigenic VariationAntigens, ProtozoanChildChild, PreschoolFemaleHost-Parasite InteractionsHumansImmunologic MemoryInfantInsect VectorsAntigens, Protozoan

Identifiers

PMID23241282
PMCPMC3557182
OpenAlexW2152184697

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.