9 research outputs found

    Health utilization survey (HUS) data on the frequency influenza-like illness (ILI)<sup>*</sup> in a rural community, by age, Ballabgarh, India, 2011.

    No full text
    <p>Health utilization survey (HUS) data on the frequency influenza-like illness (ILI)<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0196495#t001fn001" target="_blank">*</a></sup> in a rural community, by age, Ballabgarh, India, 2011.</p

    Schematic diagram depicting estimation of person risk-time.

    No full text
    <p><b>A.</b> shows estimation of risk-time and apportioning by month. For each surveyed household, all the members contributed risk-time of 14 days preceding the date of interview. Risk time for any month was estimated by summation of person-days of risk-time contributed for that month by members of each household surveyed. <b>B.</b> shows timeline of surveys and month-wise risk time in person-years. The solid columns indicate number of households visited and striped columns indicate number of persons surveyed. The shaded area depicts the risk-time in person-years contributed by persons surveyed and apportioned by months.</p

    Flow-chart depicting study methods for estimation of rates of influenza-associated ILI* in 28 villages in the Ballabgarh block (Haryana, India)–January 1 to December 31, 2011.

    No full text
    <p>(*ILI: influenza like illness defined as cough with history/measured fever. **AMI: acute medical illness defined any illness irrespective of symptoms excluding injury and those related to obstetric or surgical problems. ***p-y: person-years).</p

    Rates and 95% confidence intervals per 1,000 person-years of influenza-like illness (ILI) and influenza-associated ILI by age, Ballabgarh, India, 2011.

    No full text
    <p>(Vertical axis denotes rates per 1000 person-years and horizontal axis denotes age-groups. The ILI rates are shown in blue striped columns while influenza-associated ILI is shown in purple solid columns. Whiskers indicate 95% confidence intervals).</p

    Multivariable logistic regression analysis for risk factors for NDDs<sup>#</sup>.

    No full text
    <p>Multivariable logistic regression analysis for risk factors for NDDs<a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t005fn001" target="_blank"><sup>#</sup></a>.</p

    Study recruitment profile.

    No full text
    <p>Study recruitment profile.</p

    Background characteristics of study participants.

    No full text
    <p>Background characteristics of study participants.</p

    Prevalence estimates of NDDs for the five study districts according to age categories<sup>*</sup>.

    No full text
    <p>Prevalence estimates of NDDs for the five study districts according to age categories<sup><a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1002615#t004fn001" target="_blank">*</a></sup>.</p
    corecore