• Login
    View Item 
    •   Home
    • 1 Published Research and Commentary
    • Other Diseases
    • View Item
    •   Home
    • 1 Published Research and Commentary
    • Other Diseases
    • View Item
    Mar 06, 2021
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of MSFTitleAuthorsSubjectsPublisherJournalThis CollectionTitleAuthorsSubjectsPublisherJournal

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

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    Metras et al 2020 Estimation of ...
    Size:
    1.136Mb
    Format:
    PDF
    Download
    Authors
    Metras, R
    Edmunds, WJ
    Youssouffi, C
    Dommergues, L
    Fournie, G
    Camacho, A
    Funk, S
    Cardinale, E
    Le Godais, G
    Combo, S
    Filleul, L
    Youssouf, H
    Subiros, M
    Show allShow less
    Issue Date
    2020-09-14
    Submitted date
    2021-01-25
    
    Metadata
    Show full item record
    Journal
    Proceedings of the National Academy of Sciences
    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.
    Publisher
    National Academy of Sciences.
    URI
    http://hdl.handle.net/10144/619856
    Language
    en
    Collections
    Other Diseases

    entitlement

     
    DSpace software (copyright © 2002 - 2021)  DuraSpace
    Quick Guide | Contact Us
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.