Evidence map›Paper›PMID 36543938›Full record

ArticleCommunications medicine2022

Reconstructing Mayotte 2018-19 Rift Valley Fever outbreak in humans by combining serological and surveillance data.

Jonathan Bastard, Guillaume André Durand, Fanny Parenton, Youssouf Hassani, Laure Dommergues, Juliette Paireau, Nathanaël Hozé, Marc Ruello, Gilda Grard, Raphaëlle Métras and 1 more

Abstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Has the epidemiologic conundrum of Rift Valley fever changed?Tropical animal health and production · 2025
    Review
  4. Article
  5. Review
  6. 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

11 authors.

Jonathan BastardSanté publique France, French national public health agency, F-94415, Saint-Maurice, France. jb4753@columbia.edu.ORCID http://orcid.org/0000-0001-8531-1614
Guillaume André DurandFrench Armed Forces Biomedical Research Institute, National Reference Laboratory for Arboviruses, Marseille, France.
Fanny ParentonSanté publique France, French national public health agency, F-94415, Saint-Maurice, France.
Youssouf HassaniSanté publique France, French national public health agency, F-94415, Saint-Maurice, France.
Laure DommerguesGroupement de Défense Sanitaire 976, Coconi, Mayotte.
Juliette PaireauSanté publique France, French national public health agency, F-94415, Saint-Maurice, France.
Nathanaël HozéMathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, UMR2000, CNRS, Paris, France.ORCID http://orcid.org/0000-0002-3977-8966
Marc RuelloSanté publique France, French national public health agency, F-94415, Saint-Maurice, France.
Gilda GrardFrench Armed Forces Biomedical Research Institute, National Reference Laboratory for Arboviruses, Marseille, France.
Raphaëlle MétrasSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique (IPLESP, UMRS 1136), Paris, France.ORCID http://orcid.org/0000-0002-2646-196X
Harold NoëlSanté publique France, French national public health agency, F-94415, Saint-Maurice, France.ORCID http://orcid.org/0000-0003-3011-9267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRift Valley Fever (RVF) is a zoonosis that affects large parts of Africa and the Arabian Peninsula. RVF virus (RVFV) is transmitted to humans through contacts with infected animals, animal products, mosquito bites or aerosols. Its pathogenesis in humans ranges from asymptomatic forms to potentially deadly haemorrhagic fevers, and the true burden of human infections during outbreaks is generally unknown.

methodsWe build a model fitted to both passive surveillance data and serological data collected throughout a RVF epidemic that occurred in Mayotte Island in 2018-2019.

resultsWe estimate that RVFV infected 10,797 (95% CrI 4,728-16,127) people aged ≥15 years old in Mayotte during the entire outbreak, among which only 1.2% (0.67%-2.2%) were reported to the syndromic surveillance system. RVFV IgG seroprevalence in people ≥15 years old was estimated to increase from 5.5% (3.6%-7.7%) before the outbreak to 12.9% (10.4%-16.3%) thereafter.

conclusionsOur results suggest that a large part of RVFV infected people present subclinical forms of the disease and/or do not reach medical care that could lead to their detection by the surveillance system. This may threaten the implementation of exhaustive RVF surveillance and adequate control programs in affected countries.

Identifiers

PMID36543938
PMCPMC9772320

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.