“…High-speed OCT video was utilized to non-invasively measure changes in choroidal volume through time-series analysis. A control-case study design was based on 23 healthy controls and 6 glaucoma cases. …”
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“…Following a joinpoint analysis to control for secular trends, an interrupted time series analysis showed that alcohol control policies had a significant effect on all-cause mortality rates (p = .018), with the most significant impact occurring among young adults (20–29 and 30–39 years of age). …”
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“…The primary outcome analysis used a hierarchical negative binomial model to compare changes in weekly sales (units) of meat products sold in intervention versus control stores during the main intervention period (Phase I: February 2019 to April 2019). Interrupted time series analysis was also used to evaluate the effects of the Phase I intervention. …”
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“…Annual rates of HSU (emergency department (ED) visits, hospitalisations and physician office visits) for asthma and asthma-related conditions (eg, bronchitis, allergic rhinitis, influenza and pneumonia) were calculated. Interrupted time-series analysis, accounting for seasonality, was used to estimate changes in HSU following the 2015 SFOA. …”
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“…Seasonal trend analysis of the virus PDR was performed using the time series analysis method through ARIMA (Autoregressive Integrated Moving Average). …”
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“…Vulnerability zones were identified based on the spatial analysis of T, RH, PPT and AQI with reference to total infected cases. Based on time series analysis, it was determined that higher RH and T in Peninsular Malaysia and high amount of PPT, RH and good air quality in East Malaysia have controlled the spreading during MCO phase 3. …”
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“…This paper deals with time series analysis for COVID-19 in South Korea. We adopt heterogeneous autoregressive (HAR) time series models and discuss the statistical inference for various COVID-19 data. …”
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“…In this study, a comparative time series analysis of low and normal phytic acid soybeans was carried out to investigate the transcriptional regulatory elements governing the transitional dynamics from dry seed to germinated seed. …”
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“…To capture policy intervention dynamics, we combined a random-effect growth-curve model with nonstandard interrupted time series analysis. We also evaluated the association of policy measures with DT for different outbreak stages and levels of government effectiveness. …”
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“…Additionally, the time-series analysis revealed that the predictive model based on these clinical features is very robust over time when patients are in the hospital, indicating the strong association of these five clinical features with the progression of treatment as well. …”
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“…METHODS: We used a multiple-comparison group, interrupted time-series analysis design to compare crashes per 100 million vehicle miles traveled (VMT) per week in 2020 to the average of 2017–2019 from January 1-August 31. …”
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“…Our study is the first to combine spatial and time series analysis of ED visits for asthma using the same periods and shows that PM related to motor vehicle emissions and iron/steel production are associated with increased pediatric asthma visits.…”
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“…This subgroup can temporally switch to both neutrophilic Haemophilus-predominant and eosinophilic states that were otherwise mutually exclusive. Time-series analysis on the microbiome showed that the temporal trajectories of Campylobacter and Granulicatella were indicative of intrapatient switches from neutrophilic to eosinophilic inflammation, in track with patient sputum eosinophilia over time. …”
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“…Furthermore, they highlight the importance of gait features that rely less on event detection methods, and more on time series analysis techniques. Fall prevention is a critical component in older individuals’ healthcare, and simple models based on gait-related tasks and a wearable IMU sensor can determine the risk of future falls.…”
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“…Air pollutants and meteorological data were obtained from the China Environmental Monitoring Station and China Meteorological Data Service Center respectively. We used a time-series analysis to explore the association between air pollution (NO(2), O(3), and CO) and hospitalizations for acute gout, and conducted stratified analyses by gender, age and season. …”
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“…An Interrupted Time Series Analysis and Poisson regression models were performed for each index. …”
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“…RESULTS: A total of 501 healthcare professionals, including 436 (87%) with background in emergency medicine, participated in our survey. 331 (66%) reported being willing to perform CPR for OHCA, while 170 (34%) were not willing. 311 (94%) willing participants stated that their medical oath and moral responsibility were the main motivators for willingness, while a fear of contracting COVID-19 was the primary demotivating factor for 126 (74%) unwilling participants. Time series analysis with simple exponential smoothing showed an increase in willingness to perform CPR from 30% to 50%, as well as an increase in mean confidence level to perform CPR from 60% to 70%, between October 2020 and May 2021. …”
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“…We investigated the data descriptively and with a time-series analysis comparing the pre-pandemic period to the period of the COVID-19 pandemic. …”
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“…The primary outcome was the proportion of antibiotic durations that were guideline-concordant during the app only and intervention periods in aggregate and by interrupted time-series analysis. RESULTS: On average, 1583 and 3850 antibiotic prescriptions were prescribed per year in UC1 and UC2, respectively. …”
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“…An interrupted time series analysis was performed to rule out possible confounders. …”
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