scholarly journals Using Oral Vancomycin Prescriptions as a Proxy Measure forClostridium difficileInfections: A Spatial and Time Series Analysis

2011 ◽  
Vol 32 (7) ◽  
pp. 723-726 ◽  
Author(s):  
Philip M. Polgreen ◽  
Ming Yang ◽  
Jennifer L. Kuntz ◽  
Ramanan Laxminarayan ◽  
Joseph E. Cavanaugh
Keyword(s):  
Time Series ◽  
Clostridium Difficile ◽  
Time Series Analysis ◽  
Disease Activity ◽  
Spatial Association ◽  
Temporal Association ◽  
National Data ◽  
Oral Vancomycin ◽  
State Data ◽  
Proxy Measure

Sales for a drug may be correlated with the prevalence of a condition treated by the drug. We found that state data revealed a strong spatial association and national data a strong temporal association betweenClostridium difficileand oral vancomycin prescription sales, suggesting a new “signal” for detecting disease activity.

scholarly journals The association between seasonal influenza-like illness cases and foetal death: a time series analysis

2018 ◽  
Vol 147 ◽  
Author(s):  
I. S. Rasmussen ◽  
L. H. Mortensen ◽  
T. G. Krause ◽  
A-M. Nybo Andersen
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Spontaneous Abortion ◽  
Seasonal Pattern ◽  
Influenza Virus Infection ◽  
Temporal Association ◽  
Spontaneous Abortions ◽  
Foetal Death ◽  
Influenza Like Illness ◽  
Series Analysis

AbstractIt has been reported that foetal death follows a seasonal pattern. Influenza virus infection has been postulated as one possible contributor to this seasonal variation. This ecological study explored the temporal association between the influenza activity and the frequency of foetal death. Time series analysis was conducted using weekly influenza-like illness consultation proportions from the Danish sentinel surveillance system and weekly proportions of spontaneous abortions and stillbirths from hospital registers from 1994 to 2009. The association was examined in an autoregressive (AR) integrated (I) moving average (MA) model and subsequently analysed with cross-correlation functions. Our findings confirmed the well-known seasonality in influenza, but also seasonality in spontaneous abortion. No clear pattern of seasonality was found for stillbirths, although the analysis exposed dependency between observations. One final AR integrated MA model was identified for the influenza-like illness (ILI) series. We found no statistically significant relationship between weekly influenza-like illness consultation proportions and weekly spontaneous abortion proportions (five lags: P = 0.52; 11 lags: P = 0.91) or weekly stillbirths (five lags: P = 0.93; 11 lags: P = 0.40). Exposure to circulating influenza during pregnancy was not associated with rates of spontaneous abortions or stillbirths. Seasonal variations in spontaneous abortion were confirmed and this phenomenon needs further investigation.

scholarly journals Trends in Food and Beverage Portion Sizes in Australian Children; a Time-Series Analysis Comparing 2007 and 2011–2012 National Data

Children ◽  
2017 ◽  
Vol 4 (8) ◽  
pp. 69 ◽  
Author(s):  
Daphne van der Bend ◽  
Tamara Bucher ◽  
Tracy Schumacher ◽  
Kate Collins ◽  
Nienke De Vlieger ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
National Data ◽  
Series Analysis ◽  
Portion Sizes ◽  
Food And Beverage

scholarly journals Impact of Isolating Clostridium difficile Carriers on the Burden of Isolation Precautions: A Time Series Analysis

2017 ◽  
Vol 66 (9) ◽  
pp. 1377-1382 ◽  
Author(s):  
Yasi Xiao ◽  
Bianka Paquet-Bolduc ◽  
Christophe Garenc ◽  
Philippe Gervais ◽  
Sylvie Trottier ◽  
...  
Keyword(s):  
Time Series ◽  
Clostridium Difficile ◽  
Time Series Analysis ◽  
Series Analysis

Correlations between bed occupancy rates and Clostridium difficile infections: a time-series analysis

2010 ◽  
Vol 139 (3) ◽  
pp. 482-485 ◽  
Author(s):  
K. KAIER ◽  
D. LUFT ◽  
M. DETTENKOFER ◽  
M. KIST ◽  
U. FRANK
Keyword(s):  
Time Series ◽  
Clostridium Difficile ◽  
Time Series Analysis ◽  
Length Of Hospital Stay ◽  
Bed Occupancy ◽  
Series Analysis ◽  
General Wards ◽  
Occupancy Rates ◽  
The Impact ◽  
Bed Occupancy Rates

SUMMARYA time-series analysis was performed to identify the impact of bed occupancy rates and length of hospital stay on the incidence of Clostridium difficile infections (CDI). Between January 2003 and July 2008, a mean incidence of 0·5 CDI cases/1000 patient days was recorded. Application of a multivariate model (R2=0·50) showed that bed occupancy rates on general wards (P<0·01) and length of stay in intensive care units (ICUs) (P<0·01) influenced the incidence of CDI. Overcrowding on general wards and long periods in ICUs were identified as being positively associated with the incidence of CDI.

scholarly journals Temporal Association Between Particulate Matter Pollution and Case Fatality Rate of COVID-19 in Wuhan, China

2020 ◽  
Author(s):  
Ye Yao ◽  
Jinhua Pan ◽  
Zhixi Liu ◽  
Xia Meng ◽  
Weidong Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Particulate Matter ◽  
Time Series Analysis ◽  
Case Fatality Rate ◽  
Case Fatality ◽  
Temporal Scale ◽  
Temporal Association ◽  
Fatality Rate ◽  
Day By Day ◽  
Particulate Matter Pollution

AbstractThe Coronavirus (COVID-19) epidemic, which was first reported in December 2019 in Wuhan, China, has caused 3,314 death as of March 31, 2020 in China. This study aimed to investigate the temporal association between case fatality rate (CFR) of COVID-19 and particulate matter (PM) in Wuhan. We conducted a time series analysis to explore the temporal day-by-day associations. We found COVID-19 held higher case fatality rate with increasing concentrations of PM2.5 and PM10 in temporal scale, which may affect the process of patients developed from mild to severe and finally influence the prognosis of COVID-19 patients.

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