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  1. 2281
    “…Patient profiles were extracted from the National Health Insurance Research Database (NHIRD) for interrupted time-series analysis and cohort studies. Results: Patients enrolled were 168,457 receiving TKA, 64,543 receiving THA, and 228,191 receiving MJA surgery. …”
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  2. 2282
    “…We performed a time series analysis in Vienna, Austria, investigating the temporal association between daily air pollution (nitrogen dioxide, NO(2) and particulate matter smaller than 10 µm, PM10) concentration and risk of coronavirus disease 2019 (COVID-19) infection and death. …”
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  3. 2283
    “…In this study, we aimed to conduct a time-series analysis to assess the impact of fine particulate matter (PM2.5) and temperature on acute myocardial infarction (AMI) among adults over 20 years of age in Korea by using the data from the Korean National Health Information Database (KNHID). …”
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  4. 2284
    “…To estimate the impact of benefit cessation due to Section 39, we will conduct time series analysis of the prevalence and incidence of service use. …”
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  5. 2285
    “…To examine the effect of generic market entry on antibiotic consumption in the United States, we conducted an interrupted time series analysis of the change in the number of prescriptions per month for antibiotics for which at least one generic entered the US market between 2000 and 2012. …”
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  6. 2286
    “…It has been unearthed in our study that CNN can provide robust long term forecasting results in time series analysis due to its capability of essential features learning, distortion invariance and temporal dependence learning. …”
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  7. 2287
    “…Drawing on a mixture of quantitative and qualitative methods, including time-series analysis, network analysis and in-depth close reading, our article proposes an in-depth tracing of COVID-related false information across the region, comparing if there is a pattern of behavior through the countries. …”
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  8. 2288
    “…The volume of Google searches related to COVID-19 and face masks was regarded as an indicator of public epidemic awareness in the study. A time-series analysis was used to explore the relationships among public epidemic awareness and other COVID-19 relevant variables, which were collected based on big data analysis. …”
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  9. 2289
    “…General linear models (GLM’s) were created using 2019 data only to investigate any possible explanatory variables associated with these morbidities. The time series analysis showed that Veterans have disproportionately higher self-reported rates of each morbidity with the exception of mental health issues and heart disease. …”
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  10. 2290
    “…The intermittent hypoxia trials revealed an upregulation of heme transporter activity during hypoxia, and our time series analysis characterized nine clusters of genes with similar expression patterns. …”
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  11. 2291
    “…RESULTS: Controlled interrupted time series analysis found decreases in self-referral rate (−1.8 [−2.2, −1.1] [p < 0.0001]) and the initial trend of headcounts of self-referral (−516 [−969, −66] [p = 0.0260]), but an increase in headcounts of referred clients (1293 [77, 2508] [p = 0.0376]) in the pilot compared with the non-pilot district. …”
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  12. 2292
    “…Data from weekly epidemiological bulletins (BES) was collected from 2015 to 2019 and a time-series analysis was applied. For temporal modeling, a Box-Jenkins method was used with an autoregressive integrated moving average (ARIMA). …”
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  13. 2293
    “…We performed an interrupted time series analysis on each demographic. RESULTS: The overall ED opioid prescription rate decreased from 51.3% (95% confidence interval [Cl], 50.4%–52.2%) to 47.9% (95% Cl, 47.0%–48.7%). …”
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  14. 2294
    “…Here we use econometric time series analysis, inventory-driven price formation, dynamic material flow analysis, and life cycle assessment to model each copper supply chain actor’s response to China’s solid waste import ban and the COVID-19 pandemic. …”
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  15. 2295
    “…To fill this data gap, we produce a 500 m rainfed soy (Glycine max) sowing and harvest date dataset for Mato Grosso from 2004 to 2014 using a novel time series analysis method for Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery, adapted for implementation in Google Earth Engine (GEE). …”
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  16. 2296
    “…The time point of mutation in the southern region was 2000, and that in the northwestern and Qinghai-Tibet regions was 1992. Wavelet time series analysis showed that spring vegetation drought in China has a short-period oscillation of 5–7 years and a long-period oscillation of approximately 23–28 years. …”
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  17. 2297
    “…Using a 12-year dataset of three urban districts of the National Capital Region, Philippines, we modelled the non-linear association between weekly temperatures and weekly severe diarrhoea cases using a two-stage time series analysis. We computed the relative risks at the 95th (30.4 °C) and 5th percentiles (25.8 °C) of temperatures using minimum risk temperatures (MRTs) as the reference to quantify the association with high- and low-temperatures, respectively. …”
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  18. 2298
    “…Similarly, no difference emerged in ESS‐CHAD and body mass index. The time‐series analysis of motor activity documented reduced activity during the early morning and in the evening during the lockdown period compared with pre‐lockdown. …”
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  19. 2299
    “…METHODS: A mixed methods study of consecutive Victorian suicide cases spanning 1 January 2015 to 31 January 2021. Interrupted time series analysis examined whether suicide frequency changed following the pandemic onset. …”
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  20. 2300
    “…We implemented two quasi-experimental analyses, an interrupted time series analysis, and a difference-in-difference analysis to evaluate the impacts of wildfires and COVID-19 on mental health crisis help-seeking patterns. …”
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