Evidence map›Paper›PMID 34795213›Full record

ArticleNature communications2021

Model-based assessment of Chikungunya and O'nyong-nyong virus circulation in Mali in a serological cross-reactivity context.

Nathanaël Hozé, Issa Diarra, Abdoul Karim Sangaré, Boris Pastorino, Laura Pezzi, Bourèma Kouriba, Issaka Sagara, Abdoulaye Dabo, Abdoulaye Djimdé, Mahamadou Ali Thera and 3 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. The national burden from O'nyong'nyong and chikungunya viruses in Cameroon.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. InvasiveOne health (Amsterdam, Netherlands) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. TheProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Seroprevalence of Arboviruses in a Malaria Hyperendemic Area in Southern Mali.The American journal of tropical medicine and hygiene · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Nathanaël Hozé *Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université de Paris, UMR2000, CNRS, Paris, France.ORCID http://orcid.org/0000-0002-3977-8966
Issa Diarra *Unité des Virus Émergents, (UVE: Aix-Marseille Univ-IRD 190-INSERM 1207-IHU Méditerranée Infection), Marseille, France.
Abdoul Karim SangaréMalaria Research and Training Center, USTT, Bamako, Mali.
Boris PastorinoUnité des Virus Émergents, (UVE: Aix-Marseille Univ-IRD 190-INSERM 1207-IHU Méditerranée Infection), Marseille, France.
Laura PezziUnité des Virus Émergents, (UVE: Aix-Marseille Univ-IRD 190-INSERM 1207-IHU Méditerranée Infection), Marseille, France.ORCID http://orcid.org/0000-0001-7921-9221
Bourèma KouribaMalaria Research and Training Center, USTT, Bamako, Mali.
Issaka SagaraMalaria Research and Training Center, USTT, Bamako, Mali.
Abdoulaye DaboMalaria Research and Training Center, USTT, Bamako, Mali.
Abdoulaye DjimdéMalaria Research and Training Center, USTT, Bamako, Mali.ORCID http://orcid.org/0000-0003-0062-2283
Mahamadou Ali TheraMalaria Research and Training Center, USTT, Bamako, Mali.ORCID http://orcid.org/0000-0002-2679-035X
Ogobara K Doumbo
Xavier de LamballerieUnité des Virus Émergents, (UVE: Aix-Marseille Univ-IRD 190-INSERM 1207-IHU Méditerranée Infection), Marseille, France. xavier.de-lamballerie@univ-amu.fr.ORCID http://orcid.org/0000-0001-7895-2720
Simon CauchemezMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université de Paris, UMR2000, CNRS, Paris, France.ORCID http://orcid.org/0000-0001-9186-4549
University of Bamako · MLInserm · FRCentre National de la Recherche Scientifique · FRUniversité de Corse Pascal Paoli · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serological surveys are essential to quantify immunity in a population but serological cross-reactivity often impairs estimates of the seroprevalence. Here, we show that modeling helps addressing this key challenge by considering the important cross-reactivity between Chikungunya (CHIKV) and O'nyong-nyong virus (ONNV) as a case study. We develop a statistical model to assess the epidemiology of these viruses in Mali. We additionally calibrate the model with paired virus neutralization titers in the French West Indies, a region with known CHIKV circulation but no ONNV. In Mali, the model estimate of ONNV and CHIKV prevalence is 30% and 13%, respectively, versus 27% and 2% in non-adjusted estimates. While a CHIKV infection induces an ONNV response in 80% of cases, an ONNV infection leads to a cross-reactive CHIKV response in only 22% of cases. Our study shows the importance of conducting serological assays on multiple cross-reactive pathogens to estimate levels of virus circulation.

Indexed as

AlgorithmsModels, StatisticalChikungunya FeverChikungunya virusCross ReactionsHumansMaliMartiniqueO'nyong-nyong VirusReproducibility of ResultsSensitivity and SpecificitySeroepidemiologic Studies

Identifiers

PMID34795213
PMCPMC8602252
OpenAlexW3211875432

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.