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

BACKGROUND: Rift 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...

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Autores principales: Bastard, Jonathan, Durand, Guillaume André, Parenton, Fanny, Hassani, Youssouf, Dommergues, Laure, Paireau, Juliette, Hozé, Nathanaël, Ruello, Marc, Grard, Gilda, Métras, Raphaëlle, Noël, Harold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772320/
https://www.ncbi.nlm.nih.gov/pubmed/36543938
http://dx.doi.org/10.1038/s43856-022-00230-4
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author Bastard, Jonathan
Durand, Guillaume André
Parenton, Fanny
Hassani, Youssouf
Dommergues, Laure
Paireau, Juliette
Hozé, Nathanaël
Ruello, Marc
Grard, Gilda
Métras, Raphaëlle
Noël, Harold
author_facet Bastard, Jonathan
Durand, Guillaume André
Parenton, Fanny
Hassani, Youssouf
Dommergues, Laure
Paireau, Juliette
Hozé, Nathanaël
Ruello, Marc
Grard, Gilda
Métras, Raphaëlle
Noël, Harold
author_sort Bastard, Jonathan
collection PubMed
description BACKGROUND: Rift 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: Our 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.
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spelling pubmed-97723202022-12-23 Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data Bastard, Jonathan Durand, Guillaume André Parenton, Fanny Hassani, Youssouf Dommergues, Laure Paireau, Juliette Hozé, Nathanaël Ruello, Marc Grard, Gilda Métras, Raphaëlle Noël, Harold Commun Med (Lond) Article BACKGROUND: Rift 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. METHODS: We 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. RESULTS: We 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. CONCLUSIONS: Our 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. Nature Publishing Group UK 2022-12-21 /pmc/articles/PMC9772320/ /pubmed/36543938 http://dx.doi.org/10.1038/s43856-022-00230-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Bastard, Jonathan
Durand, Guillaume André
Parenton, Fanny
Hassani, Youssouf
Dommergues, Laure
Paireau, Juliette
Hozé, Nathanaël
Ruello, Marc
Grard, Gilda
Métras, Raphaëlle
Noël, Harold
Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title_full Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title_fullStr Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title_full_unstemmed Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title_short Reconstructing Mayotte 2018–19 Rift Valley Fever outbreak in humans by combining serological and surveillance data
title_sort reconstructing mayotte 2018–19 rift valley fever outbreak in humans by combining serological and surveillance data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9772320/
https://www.ncbi.nlm.nih.gov/pubmed/36543938
http://dx.doi.org/10.1038/s43856-022-00230-4
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