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  1. 2601
    “…METHODS: We used an interrupted time-series analysis to model the age-stratified (<25, 25–44, 45–64, ≥65) trends in monthly suicide rates before (January 1st, 2017 to December 31st, 2019) and after (January 1st 2020 to December 31st 2020) the outbreak of COVID-19 in Taiwan. …”
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    Suicide trends varied by age-subgroups during the COVID-19 pandemic in 2020 in Taiwan
  2. 2602
    “…We combined local hot spot analysis and time series analysis to assess how WRM cluster intensity changed after mitigation structure construction at fine spatial and temporal scales and generalized linear regression to assess how gaps in fencing and land cover were related to WRM cluster intensity in the before, during, and after construction periods. …”
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    Assessing changes in clusters of wildlife road mortalities after the construction of wildlife mitigation structures
  3. 2603
    “…The results from the Interrupted Time Series Analysis (ITSA) indicated that both teens with and without mental health concerns reversed the trend in posting frequency and negative emotion from declining to increasing right after the pandemic outbreak, and teens with mental health concerns had a more rapidly increasing trend in posting/commenting. …”
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    Teens’ Social Media Engagement during the COVID-19 Pandemic: A Time Series Examination of Posting and Emotion on Reddit
  4. 2604
    “…In particular, we investigate the relationship between time lags and time-charter, trip and spot market rates, and the average earnings of the Panamax vessels of various ages. Time series analysis is used to reach our conclusions. The Hannan–Quinn criterion has been selected to identify the Panamax freight market’s significant lags for 1989–2020. …”
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    Panamax markets behaviour: explaining volatility and expectations
  5. 2605
    “…However, complementary tools for time-series analysis (ASCA analysis, MEBA ranking) indicated that alanine and the branched-chain amino acids (BCAA) differed between genetic strains in a lactation-stage dependent manner. …”
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    Plasma concentrations of branched-chain amino acids differ with Holstein genetic strain in pasture-based dairy systems
  6. 2606
    “…NGS testing was assessed by receipt of first NGS test result ≤ 60 days of advanced diagnosis. Interrupted time series analysis assessed NGS utilization pre- and post-NCD effective date by insurance type. …”
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    Association Between Medicare's National Coverage Determination and Utilization of Next-Generation Sequencing
  7. 2607
    “…We calculated descriptive statistics to compare the trend in 2-week intervals and conducted an interrupted time-series analysis to validate the changes in the use of physical restraint. …”
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    Physical restraint of dementia patients in acute care hospitals during the COVID-19 pandemic: A cohort analysis in Japan
  8. 2608
    “…We conducted an observational study with interrupted time series analysis to compare the antibiotic consumption and costs, average length of hospital stay and in-hospital mortality between 12 months before and 9 months after the interruption. …”
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    The Impact of the SARS-Cov2 Pandemic on a Persuasive Educational Antimicrobial Stewardship Program in a University Hospital in Southern Italy: A Pre-Post Study
  9. 2609
    “…We analyzed program data for key populations who received HIV testing six months before the interventions (October 2017–March 2018) and 12 months after (April 2018–March 2019). Interrupted time series analysis was used to evaluate the impact on HIV positivity and total case finding and trends in positivity and case finding over time, before and after the interventions. …”
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    Improved HIV case finding among key populations after differentiated data driven community testing approaches in Zambia
  10. 2610
    “…METHODS: We conducted a time-series analysis of antihypertensive drugs dispensed in Canada between 2015 and 2019 using commercially available retail prescription data. …”
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    Extent of a valsartan drug shortage and its effect on antihypertensive drug use in the Canadian population: a national cross-sectional study
  11. 2611
    “…A novel approach combining time series analysis and complex network theory is proposed to deeply explore characteristics of the COVID-19 pandemic in some parts of the United States (US). …”
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    Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States
  12. 2612
    “…This result suggests that predicting future abundances requires longer time series analysis to capture enough variability. In addition, we show that these data-driven models can also suggest how to improve mechanistic models by adding missing variables that affect species performance such as particular soil conditions (e.g. carbonate availability in our case). …”
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    Fine scale prediction of ecological community composition using a two-step sequential Machine Learning ensemble
  13. 2613
    “…This study aims to quantify the impact of heat on kidney stone presentations through 2089, using South Carolina as a model state. We used a time series analysis of historical kidney stone presentations (1997–2014) and distributed lag non-linear models to estimate the temperature dependence of kidney stone presentations, and then quantified the projected impact of climate change on future heat-related kidney stone presentations using daily projections of wet-bulb temperatures to 2089, assuming no adaptation or demographic changes. …”
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    The impact of heat on kidney stone presentations in South Carolina under two climate change scenarios
  14. 2614
    “…This study highlights the need for continuous eddy covariance measurements and time series analysis approaches to deepen our understanding of the temporal variability in NEE and multi-scale correlation between NEE and environmental factors.…”
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    Environmental Controls on Multi-Scale Dynamics of Net Carbon Dioxide Exchange From an Alpine Peatland on the Eastern Qinghai-Tibet Plateau
  15. 2615
    por Barrett, Ravina
    Publicado 2022
    “…Descriptive statistics and interrupted time series analysis over 27 months (15 months before and 12 months after 1(st) lockdown) was evaluated. …”
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    Calcineurin inhibitors and related medicines: a cohort study examining England’s primary care prescription changes during the COVID-19 pandemic (January 2019 to March 2021)
  16. 2616
    “…The dataset can be used to study the characteristics of brain oscillations during entrainment, as well as for studies on auditory perception, analysis of resting state potentials in dementia patients, comparison of auditory evoked potentials with resting state potentials, ERP, ERSP, and SSAVP analysis of auditory response in dementia patients, time series analysis of the stimulation and rest trials, and brain connectivity analysis in dementia patients.…”
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    Non-invasive auditory brain stimulation for gamma-band entrainment in dementia patients: An EEG dataset
  17. 2617
    por Rameau, Anais
    Publicado 2020
    “…Our next step is to study whether non-linear time series analysis and machine learning can differentiate dry and wet phonation in both adducted and abducted conditions in our animal model. …”
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    4290 Acoustic screening for the “wet voice” in a canine laryngeal model
  18. 2618
    “…RESULTS/ANTICIPATED RESULTS: 224 grab bars were installed free of charge to local residents (averaging approximately $125 per home for modifications).Over an 18-month period, time series analysis indicated an approximate demonstrated a consistent drop in the average fall-related 911 calls per month from 11.6 to 4.5 calls (a change of 61.21%) and a decrease of 58% in the transport rates to the hospital for fall-related 911 calls. 911 referrals to the community paramedicine program have also increased by 83%, demonstrating increased activation of fall prevention strategies with Community FIT. …”
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    4428 Harnessing Community Paramedicine for Transformative Fall Prevention Solutions
  19. 2619
    “…METHODS: We used linear regression models to analyse a large database of 793,479 Cq values from tests performed on more than 2 million samples between 21 January and 30 November 2020, i.e. the first two pandemic waves. We performed time series analysis using autoregressive integrated moving average (ARIMA) models to estimate whether Cq data information improves short-term predictions of epidemiological dynamics. …”
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    Epidemiological and clinical insights from SARS-CoV-2 RT-PCR crossing threshold values, France, January to November 2020
  20. 2620
    “…Here we propose an approach to evaluate the amplitude and scales of cave alterations based on high-resolution air monitoring, through the use of purposely developed low-cost monitoring stations and a consistent analytical framework for information retrieval based on time series analysis. In particular, monitoring stations adopt a modular structure based on physical computing platforms acquiring data through several sensors, with means of preventing humidity damages and guaranteeing their continuous operation. …”
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    Underground Ecosystem Conservation Through High-resolution Air Monitoring
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