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GloPID-R report on chikungunya, o'nyong-nyong and Mayaro virus, part 2: Epidemiological distribution of o'nyong-nyong virus

  • GloPID-R chikungunya, o'nyong-nyong and Mayaro virus Working Group
    ,
  • L. Pezzi(Author)
    ,
  • A. D. LaBeaud(Author)
    ,
  • C. B. Reusken(Author)
    ,
  • J. F. Drexler(Author)
    ,
  • N. Vasilakis(Author)
  • Aix Marseille Université
    ,
  • Université de Corse-Inserm
    ,
  • Division of Immunology and Rheumatology Stanford School of Medicine
    ,
  • Erasmus MC
    ,
  • National Institute for Public Health and the Environment
    ,
  • Charité - Universitätsmedizin Berlin
Research Output:
Contribution to journal
Review article
Peer-review

Open access

Publication Information

Output type

Research Output:
Contribution to journal
Review article
Peer-review

Original language

English

Article number

104611

Journal (Volume, Issue Number)

Antiviral Research (Volume 172)

Publication milestones

  • Published - 12/2019

Publication status

Published - 12/2019

ISSN

0166-3542

Publication IDs

  • Scopus: 85072754013
  • PubMed: 31545982

Abstract

The GloPID-R (Global Research Collaboration for Infectious Disease Preparedness) chikungunya (CHIKV), o'nyong-nyong (ONNV) and Mayaro virus (MAYV) Working Group has been established to identify gaps of knowledge about the natural history, epidemiology and medical management of infection by these viruses, and to provide adapted recommendations for future investigations. Here, we present a report dedicated to ONNV epidemiological distribution. Two large-scale ONNV outbreaks have been identified in Africa in the last 60 years, interspersed with sporadic serosurveys and case reports of returning travelers. The assessment of the real scale of ONNV circulation in Africa remains a difficult task and surveillance studies are necessary to fill this gap. The identification of ONNV etiology is made complicated by the absence of multiplex tools in co-circulation areas and that of reference standards, as well as the high cross-reactivity with related pathogens observed in serological tests, in particular with CHIKV. This is a specific obstacle for seroprevalence studies, that necessitate an improvement of serological tools to provide robust results. The scarcity of existent genetic data currently limits molecular epidemiology studies. ONNV epidemiology would also benefit from reinforced entomological and environmental surveillance. Finally, the natural history of the disease deserves to be further investigated, with a specific attention paid to long-term complications. Considering our incomplete knowledge on ONNV distribution, GloPID-R CHIKV, ONNV and MAYV experts recommend that a major effort should be done to fill existing gaps.

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