12 research outputs found
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
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
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
Time series of tuberculosis report rate in Hubei Province, China between Jan 2004 and Dec 2011.
<p>Time series of tuberculosis report rate in Hubei Province, China between Jan 2004 and Dec 2011.</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
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
Demographic characteristics and subtypes of 205 infected donors whose HIV genotypes and DRMs were successfully analyzed.
<p>Demographic characteristics and subtypes of 205 infected donors whose HIV genotypes and DRMs were successfully analyzed.</p
Characteristics of donors with drug resistance of potential low-level resistance or above (N = 27).
<p>Characteristics of donors with drug resistance of potential low-level resistance or above (N = 27).</p
Summary of HIV testing and DRMs analysis among blood donors from five Chinese blood centers, April 2012 to June 2014.
<p>Summary of HIV testing and DRMs analysis among blood donors from five Chinese blood centers, April 2012 to June 2014.</p