Evidence map›Paper›PMID 32929025›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Estimation of Rift Valley fever virus spillover to humans during the Mayotte 2018-2019 epidemic.

Raphaëlle Métras, W John Edmunds, Chouanibou Youssouffi, Laure Dommergues, Guillaume Fournié, Anton Camacho, Sebastian Funk, Eric Cardinale, Gilles Le Godais, Soihibou Combo and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 20% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  6. Has the epidemiologic conundrum of Rift Valley fever changed?Tropical animal health and production · 2025
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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

13 authors at 6 institutions in 2 countries.

Raphaëlle MétrasINSERM, Sorbonne Université, Institut Pierre Louis d'Épidémiologie et de Santé Publique (Unité Mixte de Recherche en Santé 1136), 75012 Paris, France; raphaelle.metras@inserm.fr.ORCID 0000-0002-2646-196X
W John EdmundsCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-9179-2917
Chouanibou YoussouffiGroupement de Défense Sanitaire Mayotte - Coopérative des Eleveurs Mahorais, Division Santé Animale, 97670 Coconi, Mayotte, France.
Laure DommerguesLa Coopération Agricole, Division Santé Animale, F-75538 Paris, France.ORCID 0000-0003-1688-6689
Guillaume FourniéVeterinary Epidemiology, Economics and Public Health Group, Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hatfield AL9 7TA, United Kingdom.ORCID 0000-0002-6998-1201
Anton CamachoCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-0023-3985
Sebastian FunkCentre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom.ORCID 0000-0002-2842-3406
Eric CardinaleCentre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR Animal, Santé, Territoires, Risques, et Écosystèmes, Campus International de Baillarguet, 34398 Montpellier, France.ORCID 0000-0002-3434-3541
Gilles Le GodaisDirection de l'Alimentation, de l'Agriculture et de la Forêt de Mayotte, Service de l'Alimentation, 97600 Mamoudzou, France.
Soihibou ComboDirection de l'Alimentation, de l'Agriculture et de la Forêt de Mayotte, Service de l'Alimentation, 97600 Mamoudzou, France.
Laurent FilleulSanté Publique France, Cellule Mayotte de Santé publique France, 97600 Mamoudzou, France.
Hassani YoussoufSanté Publique France, Cellule Mayotte de Santé publique France, 97600 Mamoudzou, France.
Marion SubirosSanté Publique France, Cellule Mayotte de Santé publique France, 97600 Mamoudzou, France.
London School of Hygiene & Tropical Medicine · GBSanté Publique France · FRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRMinistère de l'Agriculture et de la Souveraineté alimentaire · FRDépartement Santé Animale · FRRoyal Veterinary College · GB

Funding

Department of Health PR-OD-1017-20007Wellcome TrustWellcome Trust 210758/Z/18/Z
6 · The paper itself

Abstract

Rift Valley fever (RVF) is an emerging, zoonotic, arboviral hemorrhagic fever threatening livestock and humans mainly in Africa. RVF is of global concern, having expanded its geographical range over the last decades. The impact of control measures on epidemic dynamics using empirical data has not been assessed. Here, we fitted a mathematical model to seroprevalence livestock and human RVF case data from the 2018-2019 epidemic in Mayotte to estimate viral transmission among livestock, and spillover from livestock to humans through both direct contact and vector-mediated routes. Model simulations were used to assess the impact of vaccination on reducing the epidemic size. The rate of spillover by direct contact was about twice as high as vector transmission. Assuming 30% of the population were farmers, each transmission route contributed to 45% and 55% of the number of human infections, respectively. Reactive vaccination immunizing 20% of the livestock population reduced the number of human cases by 30%. Vaccinating 1 mo later required using 50% more vaccine doses for a similar reduction. Vaccinating only farmers required 10 times as more vaccine doses for a similar reduction in human cases. Finally, with 52.0% (95% credible interval [CrI] [42.9-59.4]) of livestock immune at the end of the epidemic wave, viral reemergence in the next rainy season (2019-2020) is unlikely. Coordinated human and animal health surveillance, and timely livestock vaccination appear to be key to controlling RVF in this setting. We furthermore demonstrate the value of a One Health quantitative approach to surveillance and control of zoonotic infectious diseases.

Indexed as

AnimalsComorosEpidemicsHumansLivestockRift Valley FeverRift Valley fever virusSeasonsSeroepidemiologic StudiesVaccinationViral VaccinesZoonosesViral VaccinesepidemicsmodelingOne HealthRift Valley feverspillover

Identifiers

PMID32929025
PMCPMC7533885
OpenAlexW3087458547

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.