Additional file 2: of Time series model for forecasting the number of new admission inpatients

Predicted values. The table showed the predicted monthly and daily new admission inpatients from three models. (XLS 54 kb

Additional file 1: of Time series model for forecasting the number of new admission inpatients

Original data. The table showed the original data including the number of daily (1/4/2016–2/10/2016) and monthly (1/2010–10/2016) new admission inpatients. (XLS 33 kb

Series of observations of HFMD in Shenzhen.

<p>Series 1 shows the observations of the training set (from January 2008 to August 2012). Series 2 shows the observations of training set without the abnormal observation (AO). Series 3 shows the series 2 achieving stationary after one regular differencing and one seasonal differencing (d = 1, s = 12). Series 4 shows the validation set (from September 2012 to November 2012).</p

Series of observations of HFMD in Shenzhen.

<p>Series 1 shows the observations of the training set (from January 2008 to August 2012). Series 2 shows the observations of training set without the abnormal observation (AO). Series 3 shows the series 2 achieving stationary after one regular differencing and one seasonal differencing (d = 1, s = 12). Series 4 shows the validation set (from September 2012 to November 2012).</p

Parkinson’s Disease and Risk of Fracture: A Meta-Analysis of Prospective Cohort Studies

<div><p>Backgrounds/Objective</p><p>Parkinson’s disease (PD) is the second most common neurodegenerative disease among the elderly population. However, epidemiological evidence on the relationship of PD with risk of fracture has not been systematically assessed. Therefore, we performed this meta-analysis of prospective studies to explore the association between PD and risk of fracture.</p><p>Methods</p><p>PubMed, Embase, Web of Science and Cochrane Library up to February 26, 2014 were searched to identify eligible studies. Random-effects model was used to pool the results.</p><p>Results</p><p>Six studies that totally involved 69,387 participants were included for analysis. Overall, PD patients had an increased risk of fracture compared with control subjects (pooled hazard ratio = 2.66, 95% confidence interval: 2.10–3.36). No publication bias was observed across studies and the subgroup as well as sensitivity analysis suggested that the general results were robust.</p><p>Conclusion</p><p>The present study suggested that PD is associated with an increased risk of fracture. However, given the limited number and moderate quality of included studies, well-designed prospective cohort studies are required to confirm the findings from this meta-analysis.</p></div

Expected incidence cases and observations in the corresponding period from 2010 to 2013 in Shenzhen.

<p>*December in the previous year.</p><p>**We made the assumption that the expected cases in January and February were zero.</p

Characteristics of epidemiological studies of parkinson’s disease and risk of fracture included in the meta-analysis.

1<p>It was mean age ± standard deviation.</p>2<p>NA: Not available.</p>3<p>Australia, Belgium, Canada, France, Germany, Italy, Netherlands, Spain, U.K., and U.S.</p

Series of predictions of all the observations.

<p>Series 1 shows the observations of the training set without the abnormal observations and the validation set. Series 2 shows the predictions of series 1 and the expected cases of forecasting set (from December 2012 to May 2013) obtained by ARIMA and NARNN with 15 hidden units and 5 delays. There is a significantly increasing trend in first half of 2013.</p

Case distribution and demographic characteristics of HFMD in Shenzhen from January 2008 to November 2012.

<p>Case distribution and demographic characteristics of HFMD in Shenzhen from January 2008 to November 2012.</p

Methodological quality of cohort studies included in the meta-analysis.

1<p>A maximum of 2 stars could be assigned to this item.</p