16 research outputs found

    Record selection flowchart.

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    <p>* 32/40 records indicated that result receipt data was missing; 8/40 records indicated that the result was not received but corresponding clinic records showed that the infant was enrolled in treatment.</p

    Expected clinical events and utilization in a birth cohort of 100,000 Indian infants followed for 5 years under strategies of <i>no vaccination</i> and <i>vaccination</i> using 116E.

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    <p>Expected clinical events and utilization in a birth cohort of 100,000 Indian infants followed for 5 years under strategies of <i>no vaccination</i> and <i>vaccination</i> using 116E.</p

    Model-generated incidence versus empirical calibration targets.

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    <p>Cumulative incidence of first (black), second (blue), third (red), and fourth (green) infections generated by the model without vaccination (mean time to event for 912,500 individuals—or 10 years of births at 250 births per day—each followed for five years). The colored squares represent the calibration targets as given by the Gladstone data.[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187446#pone.0187446.ref028" target="_blank">28</a>].</p

    Highlighted sensitivity analysis results.

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    <p>a) Model parameters which, when varied over the ranges specified in Tables <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187446#pone.0187446.t001" target="_blank">1</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0187446#pone.0187446.t003" target="_blank">3</a>, have the greatest impact on rotavirus mortality reduction. The percent reduction in rotavirus mortality is shown on the x-axis. The solid black line indicates the baseline mortality reduction (34.6%). Bounds expressed in percentages (e.g. +/-25%), represent relative percentages. b) Model parameters which, when varied, have the greatest impact on the ICER. The ICER (in Rs) is on the x-axis. The solid black line indicates the baseline ICER (Rs 3,429 per DALY averted).</p

    Model schematic.

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    <p>Factors (rectangles) which determine each individual’s probability of infection during a given model cycle and, ultimately, their outcomes (ovals) in terms of health services utilization, cost, and health. Single rectangles represent individual-level factors, and the double rectangle represents a population-level factor.</p
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