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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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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. |
format | Online Article Text |
id | pubmed-9772320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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