Duration of Ross River viraemia in a mouse model - implications for transfusion transmission

  • Guifang Shang
  • , Clive Seed
  • , Michelle Gahan
  • , Michael Rolph
  • , Suresh Mahalingham

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Background and Objectives There is little data on the duration of viraemia following infection with Ross River virus ( RRV), the most common cause of arbovirus disease in Australia. In particular, no accurate estimate exists for the duration of pre- symptomatic RRV infection, which is important in assessing the potential for transfusion transmission.

    Materials and Methods We used an established mouse model of RRV infection involving adult Swiss outbred mice to measure viraemia following infection. Applying our experimental data to a published probabilistic model for estimating the risk of dengue transmission by transfused blood, we derived comparable risk estimates for RRV.

    Results Ross River virus RNA was measured using highly sensitive real- time PCR in serum samples to determine the duration of asymptomatic viraemia, which typically lasted 5 days, but extended to 9 days in some mice. Assuming the potential for transfusion transmission is proven, the risk of RRV transmission by blood during a 2004 outbreak in Cairns, Australia was retrospectively estimated as 1 in 13 542 ( range from 1 in 4765 to 47 563).

    Conclusion This study provides updated epidemiological data useful to underpin modelling to assess the potential risk of transfusion- transmitted RRV. Using an established model for dengue, the risk estimate for RRV transmission is comparable in the same geographical region. Should transfusion be proven as a route of transmission, this supports consideration of appropriate mitigation strategies to safeguard blood recipients
    Original languageEnglish
    Pages (from-to)185-192
    Number of pages8
    JournalVox Sanguinis
    Volume102
    Issue number3
    DOIs
    Publication statusPublished - 2012

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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