25 research outputs found

    Demographic characteristics and comorbidity medical disorders between TIV-receive and non-receive groups among the elderly ≥65 in years by propensity score logistic regression model.

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    <p><sup>a</sup> URI OPD: outpatient visits due to upper respiratory infections;</p><p><sup>b</sup> OR: odds ratio by univariate and multivariate logistic regression;</p><p>*p<0.05 throughout all influenza years from 1999–2000 to 2008–2009;</p><p><sup>#</sup> p<0.05 throughout all influenza years except year 1999–2000.</p

    Age-specific event rates over the study period from 1999–2000 to 2008–2009 influenza seasons in Taiwan.

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    <p>Panel A and Panel B represents pneumonia and influenza (P&I)-related outpatient visit and hospitalization rates. Panel C represents the annual trivalent influenza vaccine (TIV) vaccination rate in percentage.</p

    Epidemic and annual excess influenza-associated morbidity rates among the elderly (per 1,000).

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    <p><sup>a</sup> Early appearance of antigenic-drifted strains: follow the results from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084239#pone.0084239.s001" target="_blank">Table S1</a>.</p><p><sup>b</sup> Peak vaccine coverage in 2004: “Before” and “after” indicated influenza season before or after the peak vaccination coverage rate during 2003–2004 as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084239#pone-0084239-g001" target="_blank">Fig 1</a>.</p><p><sup>c</sup> Epidemic: isolation Rate >10%;</p><p><sup>d</sup> Annual: from September to the following August.</p

    Predicted propensity scores between TIV-receiving and TIV non-receiving elderly over the study period from 1999–2000 to 2008–2009 influenza seasons in Taiwan.

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    <p>Predicted propensity scores between TIV-receiving and TIV non-receiving elderly over the study period from 1999–2000 to 2008–2009 influenza seasons in Taiwan.</p

    Study event rates among the elderly ≥65 years old over the study period from 1999–2000 to 2008–2009 influenza seasons in Taiwan.

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    <p>Panel A and Panel B represents pneumonia and influenza (P&I)-related outpatient visit and hospitalization rates. The actual observed events (Blue-shaded area), model-predicted events (Red line) and age-standardized events (black dashed line) are expressed as monthly rates per 100. Panel C represents viral surveillance data expressed as the weekly percentage of tests positive for influenza viruses. Horizontal line sets the cutoff of isolation rate ≥10% and the influenza epidemic months are shaded in blue. Panel D represents the annual trivalent influenza vaccine (TIV) vaccination rate among the elderly in percentage. No free TIV vaccination was provided for the 5–19 age group during 1999,9–2007,8.</p

    The temporal relationship between the indigenous dengue cases and the vector indices from the entomological surveillance data from 2005 to 2012 including Breteau index (A), Container index (B), House index (C) and adult <i>A</i>. <i>aegypti</i> index (D).

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    <p>The temporal relationship between the indigenous dengue cases and the vector indices from the entomological surveillance data from 2005 to 2012 including Breteau index (A), Container index (B), House index (C) and adult <i>A</i>. <i>aegypti</i> index (D).</p

    The location of Kaohsiung city in Taiwan.

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    <p>The inset shows the 38 districts, including 11 districts from the old Kaohsiung administrative districts. All districts were further classified into high, middle (mid) and low risk areas based on the household density and the average number of households with the presence of <i>A</i>. <i>aegypti</i> from the historical entomological data. </p

    Prediction accuracy of different mosquito indices by univariate and multivariate logistic regressions.

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    <p>Prediction accuracy of different mosquito indices by univariate and multivariate logistic regressions.</p

    Heatmap of posterior probabilities for human astrocytoma samples.

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    <p>Hierarchical clustering of the posterior probabilities is displayed as a heatmap for (<b>A</b>) DMRs with a low degree of differentiation (2,652 DMRs) and (<b>B</b>) DMRs with a high degree of differentiation (2,556 DMRs) in 30 tumor (T) and 6 normal (N) samples. The intensity is proportional to the degree of methylation, as indicated in the figure.</p

    Secular trend of the meteorological data and the dengue cases from 2005 to 2012.

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    <p>(A) Comparison between Kaohsiung city and whole Taiwan of all laboratory-confirmed indigenous dengue cases from 2005 to 2012 based on the residential area. (B) Comparison among high, middle and low risk areas of all laboratory-confirmed indigenous dengue cases from 2005 to 2012. All dengue virus serotypes detected during each epidemic was indicated accordingly, with the dominant serotype labeled with asterisk based on the major serotype detected from more than 80% of dengue cases in the specific year. (C) The quarterly total numbers of the laboratory-confirmed imported and indigenous dengue cases in Kaohsiung city from 2005 to 2012. (D) The weekly average of temperature (temp, <sup>o</sup>C), rainfall (rain, mmHg) and relative humidity (rh, %) from 2005 to 2012.</p
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