Estimating the incidence of influenza-virus infections in Dutch weaned piglets using blood samples from a cross-sectional study.

W.L.A. Loeffen, G. Nodelijk, P.P. Heinen, L.A.M.G. van Leengoed, W.A. Hunneman, J.H.M. Verheijden

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    31 Citations (Scopus)

    Abstract

    A cross-sectional study was carried out on 32 Dutch breeding herds to estimate the incidence of influenza-virus infections in piglets before the start of the finishing period, at the age of approximately 10 weeks. Longitudinal studies on two herds (8 and 10 litters, respectively) were done to obtain an average decay function for maternal antibodies.Each participating farm in the cross-sectional study was visited twice within 5 months; each time, blood samples were taken randomly from one compartment (a separate room with separate air flow) of 4-5-week-old piglets and one compartment of 8-9-week-old piglets. These blood samples (a total of 2598; 16-23 per compartment, depending on its size) were tested in a haemagglutination inhibition test for antibodies against influenza-virus subtypes H1 and H3. Samples from 8-9-week-old piglets from the first sampling period (n=660) were also tested in an IgM ELISA.For each individual herd and each influenza-virus subtype separately, the decay function derived from the longitudinal studies was used to calculate an expected seroprevalence in 8-9-week-old piglets, which was then compared to the observed seroprevalence. Depending on subtype and sampling period, between 10 and 15 of the 32 herds were suspected of virus circulation during the weaning period because the observed seroprevalence was significantly higher than the expected seroprevalence (P
    Original languageEnglish
    Pages (from-to)295-308
    JournalVeterinary Microbiology
    Volume91
    Issue number4
    DOIs
    Publication statusPublished - 2003

    Keywords

    • respiratory syndrome virus
    • aujeszkys-disease virus
    • mycoplasma-hyopneumoniae
    • pigs
    • slaughter
    • herds
    • pleuropneumoniae
    • seroprevalence
    • prevalence
    • growth

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