17 research outputs found

    Univariate logistic model of individual factors associated with human Q-fever (P<0.20) with corresponding frequency (N), seroprevalence (%), odds ratio (OR) and 95% confidence interval (CI).

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    <p>Univariate logistic model of individual factors associated with human Q-fever (P<0.20) with corresponding frequency (N), seroprevalence (%), odds ratio (OR) and 95% confidence interval (CI).</p

    Univariate multilevel model of farm-based factors associated with human Q-fever (p<0.20) with corresponding frequency (N), seroprevalence (%), odds ratio (OR) and 95% confidence interval (CI).

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    <p>Univariate multilevel model of farm-based factors associated with human Q-fever (p<0.20) with corresponding frequency (N), seroprevalence (%), odds ratio (OR) and 95% confidence interval (CI).</p

    Results of univariable analysis of risk factors for presence of antibodies against <i>Coxiella burnetii</i>.

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    #<p>Sera were screened for phase I and phase II IgG using a cut-off of 1∶32. Samples with both IgG phase I and II ≥1∶32 were considered to be positive, while solitary IgG phase II samples were scored positive if they had a single titre of ≥1∶512 (Focus Diagnostics, Cypress, CA).</p

    Additional file 1: Table S1. of Integrating interdisciplinary methodologies for One Health: goat farm re-implicated as the probable source of an urban Q fever outbreak, the Netherlands, 2009

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    Attack rates and relative risks per potential source farm. Number of cases, number of total inhabitants, attack rates (AR) per 100,000 inhabitants, and relative risks (RR) per concentric 1 km ring around each potential source farm A – Q. (XLS 29 kb
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