11 research outputs found
Demographic Characteristics of Participants in the Study, 2009–2011.
<p>Demographic Characteristics of Participants in the Study, 2009–2011.</p
Additional file 1 of Bone-derived PDGF-BB enhances hippocampal non-specific transcytosis through microglia-endothelial crosstalk in HFD-induced metabolic syndrome
Supplementary Material
Incidence of Active TB and Sputum Smear-Positive TB in the Study, 2009–2011.
<p>Abbreviation: CI, confidence interval.</p>a<p>Standardized by merged population distribution.</p>b<p>per 100,000 person-year.</p
Relative Risk of Exposed Factors Associated with TB in the Study, 2009–2011.
<p>Abbreviation: CI, confidence interval.</p>a<p>Adjusted for all the background factors: gender, age, marital status, occupation and educational level.</p
Incidence and Relative Risk Under Exposed/Unexposed Conditions in the Study, 2009–2011.
a<p>per 100,000 person-year.</p
The ACF graph and PACF graph of the ARIMA (0,1,0) × (0,1,0)<sub>12</sub> model.
<p>ACF=autocorrelation function, PACF=partial autocorrelation fuction. After taking a non-seasonal and seasonal difference, the TB report rate series shows dominant peaks in the autocorrelation functions lags 12, 24 and 36 months indicating a strong seasonal pattern in the report rate of TB in Hubei Province, China.</p
The selection of the spread of the GRNN-ARIMA model.
<p>ARIMA=the autoregressive integrated moving average; GRNN=the generalized regression neural network. The spread values between 0.5 and 1.5 with an interval of 0.05 were selected to find the minimum RMSE for the testing samples. When the spread was 0.95, the RMSE was lowest.</p
The ACF graph and PACF graph of the residuals for the ARIMA (2,1,0) × (0,1,1)<sub>12</sub> model.
<p>ACF=autocorrelation function, PACF=partial autocorrelation fuction. As their correlation values are not outside the confidence intervals (CI) limits, the residuals error is considered to be white noise indicating that this model is appropriate for prediction. </p
Two models’ fitting and prediction curves and the actual tuberculosis report rate series.
<p>ARIMA=the autoregressive integrated moving average; GRNN=the generalized regression neural network.</p
Proportion of tuberculosis cases by month of report.
<p>Month begins with January and is abbreviated by first letter. It shows that TB cases exhibit a peak in March and a trough in December across the entire study period.</p