Evidence map›Paper›PMID 32503971›Full record

Trial reportNature communications2020

Reconstructing Mayaro virus circulation in French Guiana shows frequent spillovers.

Nathanaël Hozé, Henrik Salje, Dominique Rousset, Camille Fritzell, Jessica Vanhomwegen, Sarah Bailly, Matthieu Najm, Antoine Enfissi, Jean-Claude Manuguerra, Claude Flamand and 1 more

Erratum issuedAbstract readClinical Trial
In one paragraph

Trial report in Nature communications, 2020. 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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Nathanaël HozéMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France.ORCID http://orcid.org/0000-0002-3977-8966
Henrik SaljeMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France.ORCID http://orcid.org/0000-0003-3626-4254
Dominique RoussetArbovirus National Reference Center, Institut Pasteur in French Guiana, Cayenne, French Guiana.ORCID http://orcid.org/0000-0002-1473-3147
Camille FritzellEpidemiology Unit, Institut Pasteur in French Guiana, Cayenne, French Guiana.
Jessica VanhomwegenEnvironment and Infectious Risks Unit, Institut Pasteur, Paris, France.
Sarah BaillyEpidemiology Unit, Institut Pasteur in French Guiana, Cayenne, French Guiana.
Matthieu NajmMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France.
Antoine EnfissiArbovirus National Reference Center, Institut Pasteur in French Guiana, Cayenne, French Guiana.
Jean-Claude ManuguerraEnvironment and Infectious Risks Unit, Institut Pasteur, Paris, France.ORCID http://orcid.org/0000-0002-5202-6531
Claude Flamand *Epidemiology Unit, Institut Pasteur in French Guiana, Cayenne, French Guiana.ORCID http://orcid.org/0000-0002-8064-445X
Simon Cauchemez *Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, UMR2000, CNRS, 75015, Paris, France. simon.cauchemez@pasteur.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the circulation of Mayaro virus (MAYV), an emerging arbovirus threat, is essential for risk assessment but challenging due to cross-reactivity with other alphaviruses such as chikungunya virus (CHIKV). Here, we develop an analytical framework to jointly assess MAYV epidemiology and the extent of cross-reactivity with CHIKV from serological data collected throughout French Guiana (N = 2697). We find strong evidence of an important sylvatic cycle for MAYV with most infections occurring near the natural reservoir in rural areas and in individuals more likely to go to the forest (i.e., adult males) and with seroprevalences of up to 18% in some areas. These findings highlight the need to strengthen MAYV surveillance in the region and showcase how modeling can improve interpretation of cross-reacting assays.

Indexed as

Epidemiological MonitoringAdolescentAdultAlphavirus InfectionsAntibodies, ViralArbovirusesChikungunya virusChildChild, PreschoolCommunicable Diseases, EmergingCross ReactionsCross-Sectional StudiesFemaleFrench GuianaHumansImmunoglobulin GAntibodies, ViralImmunoglobulin G

Identifiers

PMID32503971
PMCPMC7275077

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.