Evidence map›Paper›PMID 41296827›Full record

ArticleScience translational medicine2025

Epidemiological and antigenic inferences from serological cross-reactivity among arboviruses.

Megan O'Driscoll, Nathanaël Hozé, Noémie Lefrancq, Gabriel Ribeiro Dos Santos, Damien Hoinard, Mohammed Ziaur Rahman, Kishor Kumar Paul, Abu Mohd Naser Titu, Mohammad Shafiul Alam, Mohammad Enayet Hossain and 4 more

Abstract read
In one paragraph

Article in Science translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. The national burden from O'nyong'nyong and chikungunya viruses in Cameroon.medRxiv : the preprint server for health sciences · 2026
    Article
  3. 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

14 authors.

Megan O'DriscollDepartment of Genetics, University of Cambridge, Cambridge CB23EH, UK.ORCID 0000-0002-7972-5703
Nathanaël HozéMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, INSERM U1332, CNRS UMR2000, Université Paris Cité, 75015 Paris, France.
Noémie LefrancqDepartment of Genetics, University of Cambridge, Cambridge CB23EH, UK.ORCID 0000-0001-5991-6169
Gabriel Ribeiro Dos SantosDepartment of Genetics, University of Cambridge, Cambridge CB23EH, UK.
Damien HoinardEnvironment and Infectious Risks Unit, Institut Pasteur, 75015 Paris, France.ORCID 0009-0000-1453-4132
Mohammed Ziaur RahmanInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1213, Bangladesh.ORCID 0000-0002-4103-4835
Kishor Kumar PaulInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1213, Bangladesh.ORCID 0000-0002-6054-3571
Abu Mohd Naser TituSchool of Public Health, University of Memphis, Memphis, TN 38152, USA.ORCID 0000-0002-1347-4446
Mohammad Shafiul AlamInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1213, Bangladesh.ORCID 0000-0001-8330-5499
Mohammad Enayet HossainInternational Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1213, Bangladesh.ORCID 0000-0001-5511-1857
Jessica VanhomwegenEnvironment and Infectious Risks Unit, Institut Pasteur, 75015 Paris, France.
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, INSERM U1332, CNRS UMR2000, Université Paris Cité, 75015 Paris, France.ORCID 0000-0001-9186-4549
Emily S GurleyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.ORCID 0000-0002-8648-9403
Henrik SaljeDepartment of Genetics, University of Cambridge, Cambridge CB23EH, UK.ORCID 0000-0003-3626-4254

Funding

Inter-regional study of transmission, adaptation and pathogenesis of viruses with pandemic potential in Southeast Asia and West/Central AfricaU01AI151758 · NIAID · INSTITUT PASTEUR · PI SAKUNTABHAI, ANAVAJ, SIMON-LORIERE, ETIENNE · 2020 to 2024
$6.7M
Defining correlates of protection from dengue illness in a long-term cohort study of multigenerational house-holds in ThailandR01AI175941 · NIAID · UPSTATE MEDICAL UNIVERSITY · PI Kathryn B Anderson · 2023 to 2026
$2.7M
NIAID NIH HHS R01 AI175941NIAID NIH HHS U01 AI151758Wellcome Trust 228185
6 · The paper itself

Abstract

Multiplex immunoassays can facilitate the parallel measurement of antibody responses against multiple antigenically related pathogens, generating a wealth of high-dimensional data that depict complex antibody-antigen relationships. In this study, we developed a generalizable analytical framework to maximize inferences from multipathogen serological studies. We fit the model to measurements of immunoglobulin antibody binding against 10 arboviral pathogens from a cross-sectional study in northwest Bangladesh with 1453 participants. We used our framework to jointly infer the prevalence of each pathogen by location and age as well as between-pathogen antibody cross-reactivity. Reconstructing immunological profiles, we found evidence of endemic transmission of Japanese encephalitis virus and recent outbreaks of dengue and chikungunya viruses in this district. Our estimates of antibody cross-reactivity were highly correlated with phylogenetic distances inferred from genetic data [correlation coefficient (

Indexed as

Antigens, ViralArbovirusesArbovirus InfectionsAdolescentAdultAntibodies, ViralBangladeshChildChild, PreschoolCross ReactionsCross-Sectional StudiesFemaleHumansMaleMiddle AgedPhylogenyAntibodies, ViralAntigens, Viral

Identifiers

PMID41296827
PMCPMC7618549

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.