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  1. 1001
    “…METHODS: In this observational time series analysis, we used routinely collected data on all NHS hospitals in England from 1998/99 to 2019/20. …”
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    Trends in inpatient care for psychiatric disorders in NHS hospitals across England, 1998/99–2019/20: an observational time series analysis
  2. 1002
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    Correction to: Impacts of bariatric surgery in health outcomes and health care costs in Brazil: Interrupted time series analysis of multi-panel data
  3. 1003
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    Impact of routine opt-out HIV/HCV screening on testing uptake at a syringe services program: An interrupted time series analysis
  4. 1004
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    Outpatient visit trends for internal medicine ambulatory care sensitive conditions after the COVID-19 pandemic: a time-series analysis
  5. 1005
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    Impact of the COVID-19 pandemic on temporal patterns of mental health and substance abuse related mortality in Michigan: An interrupted time series analysis
  6. 1006
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    Temporal Monitoring and Predicting of the Abundance of Malaria Vectors Using Time Series Analysis of Remote Sensing Data through Google Earth Engine
  7. 1007
    “…OBJECTIVE: We conducted an interrupted time series analysis to investigate the impact of Hurricane Harvey on employee computer use during and after a seven-month displacement period from the physical workplace. …”
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    Impact of workplace displacement during a natural disaster on computer performance metrics: A 2-year interrupted time series analysis
  8. 1008
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    The effect of the Ontario stay-at-home order on Covid-19 third wave infections including vaccination considerations: An interrupted time series analysis
  9. 1009
    por Kim, Jieun, Han, Juhui, Chun, Byung Chul
    Publicado 2022
    “…An interrupted time-series analysis was performed using the data from January 1, 2016 to December 31, 2020. …”
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    Trends of Internet Search Volumes for Major Depressive Disorder Symptoms During the COVID-19 Pandemic in Korea: An Interrupted Time-Series Analysis
  10. 1010
    “…METHODS: We conducted a population-based time series analysis using interventional autoregressive integrated moving average models among Ontario residents who were stable (>60 days of continuous use) and not yet stable on OAT. …”
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    Impact of the COVID-19 pandemic on the prevalence of opioid agonist therapy discontinuation in Ontario, Canada: A population-based time series analysis
  11. 1011
    por Tomura, Hajime
    Publicado 2022
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    Associations between components of household expenditures and the rate of change in the number of new confirmed cases of COVID-19 in Japan: Time-series analysis
  12. 1012
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    Impact of Three Safety Interventions Targeting Off-Label Use of Immediate-Release Fentanyl on Prescription Trends: Interrupted Time Series Analysis
  13. 1013
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    Household access to non-communicable disease medicines during universal health care roll-out in Kenya: A time series analysis
  14. 1014
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    Impacts of National Drug Price Negotiation on Expenditure, Volume, and Availability of Targeted Anti-Cancer Drugs in China: An Interrupted Time Series Analysis
  15. 1015
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    CD4+ T-Cell Count at Antiretroviral Therapy Initiation in the “Treat-All” Era in Rural South Africa: An Interrupted Time Series Analysis
  16. 1016
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    Dynamics of Emergency Cardiovascular Hospital Admissions and In-Hospital Mortality During the COVID-19 Pandemic: Time Series Analysis and Impact of Socioeconomic Factors
  17. 1017
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    Impact of a policy to improve the management of oral medications when patients are fasting before a procedure: an interrupted time series analysis
  18. 1018
    por Mbaka, Gloire O., Vieira, Rute
    Publicado 2022
    “…This study aimed to address the knowledge gap in understanding how prevalence, mortality and burden of diseases in DRC changed over time and examine the influence of specific factors in these disease-related outcomes. METHODS: A time-series analysis of the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 estimates was performed to describe prevalence, years lived with disabilities (YLDs) and mortality due to diarrhoeal diseases, by age-group and sex, between 1990–2019 in DRC. …”
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    The burden of diarrhoeal diseases in the Democratic Republic of Congo: a time-series analysis of the global burden of disease study estimates (1990–2019)
  19. 1019
    “…We aimed to evaluate the impact of COVID-19 on antimicrobial consumption (AC) and antimicrobial resistance (AMR) in the University Hospital of Modena. A time series analysis with an autoregressive integrated moving average model was conducted from January 2015 to October 2021 to evaluate the AC in the whole hospital and the intensive care unit (ICU), the incidence density (ID) of bloodstream infections (BSIs) due to the main multidrug-resistant organisms, and of C. difficile infections (CDIs). …”
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    Long-Term Impact of the COVID-19 Pandemic on In-Hospital Antibiotic Consumption and Antibiotic Resistance: A Time Series Analysis (2015–2021)
  20. 1020
    por Oura, Petteri
    Publicado 2022
    “…Individuals with low socioeconomic position seem to be at a higher risk for sustaining a medical adverse event and premature death. This time series analysis aimed to assess educational gradients behind adverse event deaths in the US over the period 2010–2019. …”
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    Educational Gradients Behind Medical Adverse Event Deaths in the US—A Time Series Analysis of Nationwide Mortality Data 2010–2019
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