Evidence map›Paper›PMID 40664687›Full record

ArticleNature communications2025

Marked heterogeneity in malaria infection rate in a Malian longitudinal cohort.

Emily LaVerriere, Zachary M Johnson, Meg Shieh, Nadege Nziza, Galit Alter, Caroline O Buckee, Peter D Crompton, Boubacar Traore, Tuan M Tran, Daniel E Neafsey

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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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

10 authors.

Emily LaVerriereDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Zachary M JohnsonDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Meg ShiehDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0483-5000
Nadege NzizaRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Galit AlterRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-7680-9215
Caroline O BuckeeDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8386-5899
Peter D CromptonMalaria Infection Biology and Immunity Section, Laboratory of Immunogenetics, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA.ORCID http://orcid.org/0000-0001-5629-0412
Boubacar TraoreMali International Center of Excellence in Research, University of Sciences, Technique and Technology of Bamako, Bamako, Mali.
Tuan M TranDivision of Infectious Diseases, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-1928-861X
Daniel E NeafseyDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA. neafsey@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-1665-9323

Funding

Exploring the roles of acquired immunity and functional constraint in sculpting malaria antigenic diversity in a longitudinal cohortR01AI141544 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI NEAFSEY, DANIEL E · 2018 to 2022
$2.6M
NIAID NIH HHS R01 AI141544U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AI141544
6 · The paper itself

Abstract

Variation in malaria infection risk, a product of disease exposure and immunity, is poorly understood. We genotypically profiled over 13,000 blood samples from a six-year longitudinal cohort in Mali to characterize malaria infection dynamics with detail. We generated Plasmodium falciparum amplicon sequencing data from 464 participants (aged 3 months - 25 years) across the six-month 2011 transmission season and profiled a subset of 120 participants across the subsequent five annual transmission seasons. We measured infection rate as the molecular force of infection (molFOI, number of genetically distinct parasites acquired over time). We found that molFOI varied extensively among individuals (0-55 in 2011) but was independent of age and consistent within individuals over multiple seasons. Reported bednet usage was nearly universal. The HbS allele was associated with lower molFOI, and functional antibody signatures for the CSP C-term and RH5 antigens were correlated with low molFOI participants, identifying candidate immune correlates of protection. The large inter-individual variability in molFOI and consistency of intra-individual infection rate over time exhibits much greater dynamic range than malaria case incidence, and is most likely due to heterogeneous exposure to infectious mosquito bites. This and other factors contributing to variable infection risk should be considered in future clinical trials and implementation of malaria interventions.

Indexed as

Malaria, FalciparumPlasmodium falciparumAdolescentAdultChildChild, PreschoolCohort StudiesFemaleHumansIncidenceInfantLongitudinal StudiesMaleMaliSeasonsYoung Adult

Identifiers

PMID40664687
PMCPMC12264271

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Registered trials

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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.