“…DESIGN, SETTING, AND PARTICIPANTS: A population-based cross-sectional study design was conducted using data from the Manitoba Cancer Registry and an interrupted time-series analysis. All individuals diagnosed with cancer in Manitoba, Canada, from January 1, 2015, until December 31, 2021, were included. …”
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“…Leveraging the time series–analysis-ready data, we trained a prediction model with the long short-term memory algorithm, achieving an area under the receiver operating characteristic curve of 0.83 for predicting 30-day in-hospital mortality in model training. …”
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“…DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study was conducted with an interrupted time-series analysis of UPCs spanning January 1, 2020, to June 30, 2022. …”
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“…Statistical process control methodology was used to understand the variation in Surgical Safety Checklist compliance before and after workshops and a time-series analysis was performed using population-averaged generalized estimating equation Poisson regression. …”
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“…METHODS: Using provincial-level data from routine health information systems covering all hospitals across Mainland China, we conducted an interrupted time series analysis to examine changes in healthcare utilization during the Shanghai outbreak. …”
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“…Methods: We performed a retrospective time-series analysis of antimicrobial use for the 7-year period of July 2015–June 2022 to investigate the changes by provider type at 3 hospitals: a major university hospital and 2 community hospitals. …”
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“…At the end of 12 months, antibiotic use in the floors covered by the ACCS teams were pulled from the NHSN AU module to perform an interrupted time-series analysis 12 months before and after the intervention. …”
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“…We estimated the immediate impact of the Covid-19 pandemic, as well as pre- and post-Covid-19 trend by fitting a Poisson segmented regression model in the context of the interrupted time series analysis. RESULTS: As of January 2023, the cohort consisted of 242,442 cases (13% in ATS Bergamo, 73% in Tuscany Region and 14% in ASL Roma 2), and mainly had access to prescription drugs (45%, 60%, 62% respectively). …”
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“…For example, the Mark-Release-Recapture (MRR) method whose challenge is a low recapture rate that affects its accuracy, and the use of time series analysis through field collections whose challenge is the uncertainty about whether not finding mosquitoes during the dry season is a weakness of the conventional sampling methods used or because of hidden shelters. …”
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“…METHODS: Women (aged 50+ years) diagnosed with IBC from 2014 to 2019, were identified from England Cancer Registry data and drug utilisation from Systemic Anti-Cancer Therapy data. Interrupted time series analysis assessed national-level changes in drug use after publication of NICE recommendations. …”
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“…METHODS: We performed a retrospective time series analysis of ID consultation from July 2015 to June 2022 to investigate the changes in requesting provider type at 3 hospitals: a major university hospital and 2 community hospitals. …”
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“…GEE models compared pre- and pandemic periods by interrupted time series analysis. RESULTS: From 1/1/2018 to 5/31/2022 98,791 patients had 151,550 hospital admissions. …”
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“…METHODS: The quarterly percentage of broad-spectrum antibiotic prescriptions evaluated by antimicrobial stewardship team (AMST), the quarterly consumption of broad-spectrum antimicrobials and the quarterly proportion of multidrug-resistant K. pneumoniae and E. coli were assessed between October 2016 and December 2022, with 2 periods of time, before the pandemic (October 2016-March 2020) and after the pandemic (April 2020-December 2022).Time series analysis was performed with ARIMA models to evaluate the association between decrease in AMST activities with multidrug-resistance in K. pneumoniae or E. coli. …”
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“…[Figure: see text] [Figure: see text] CONCLUSION: We show that countries with high governance scores had overall lower burden of 3GC resistant E. coli. Additional time series analysis as well as evaluating specific aspects of NAPs against AMR burden would be an important next step. …”
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“…METHODS: We conducted a retrospective cohort study using a 5‐year interrupted time series analysis. Eligible adults with non‐traumatic OHCAs from January 2017 to December 2021 in 3 hospitals (university medical center, urban second‐tier hospital, and rural second‐tier hospital) were retrospectively enrolled. …”
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“…Based on influenza incidence data from 103 counties in Hubei Province from 2009 to 2019, this study used time series analysis and geospatial analysis to analyze the spatial and temporal distribution characteristics of the influenza epidemic and its influencing factors. …”
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“…A further analysis of the immediate and delayed impacts of the PEMs will be performed using time-series analysis and interventional, auto-regressive, integrated moving average modeling. …”
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“…OBJECTIVES: We conducted a time-series analysis to examine the modifying effect of season, sex, age, and education on the association between outdoor air pollutants [particulate matter < 10 μm in aerodynamic diameter (PM(10)), sulfur dioxide, nitrogen dioxide, and ozone] and daily mortality in Shanghai, China, using 4 years of daily data (2001–2004). …”
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“…Our results represent the first time series analysis of foraging gene expression and underscore the importance of assaying time-related expression differences in behavioral studies. …”
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“…In this study we present a multichannel version of the detrended fluctuation analysis method (mDFA) to analyze the correlation dynamics of spontaneous spinal activity (SSA) from time series analysis. This method together with the classical detrended fluctuation analysis (DFA) were used to find out whether the SSA recorded in one or several segments in the spinal cord of the anesthetized cat occurs either in a random or in an organized manner. …”
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