“…This is the most recent and emerging estimation technique in time series analysis. RESULTS: Our findings confirm that public healthcare spending significantly impacts health outcomes in Pakistan both in the short-run and long-run. …”
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“…Monthly rates of general medical practitioner (GP) HMR claims per 1000 people aged ≥65 years and RMMR claims per 1000 older residents of aged care facilities were determined using publicly available data. Interrupted time series analysis was conducted to examine changes coinciding with dates of program changes. …”
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“…We performed an interrupted time-series analysis to assess the effects of NEMS implementation on hospital admissions in 25 facilities. …”
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“…This study aimed to estimate the number of excess deaths among Indigenous Peoples associated with the COVID-19 pandemic in 2020 and to assess the disparities in excess mortality between Indigenous and non-Indigenous Brazilians. A time series analysis of weekly mortality data including all deaths from January 2015 to December 2020 was conducted. …”
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“…We conducted a time-series analysis to determine whether the percentage of primary care visits for anxiety and depression changed after COVID-19. …”
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“…We used interrupted time series analysis (ITSA) and simple linear regression to analyze changes in antimicrobial consumption, resistance and CDIs. …”
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“…Routine susceptibility data of 17,837 Gram-negative and Gram-positive bacterial isolates from blood and respiratory specimens of hospitalized patients in nine COVID-19 tertiary hospitals were used in order to identify potential differences in AMR trends in the last three years, divided into two periods, January 2018–March 2020 and April 2020–March 2021. Interrupted time-series analysis was used to evaluate differences in the trends of non-susceptibility before and after the changes due to COVID-19. …”
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“…We implemented the time-series analysis by comparing the before and after the inflection point (first wave of COVID-19) with the long-term CO(2) concentration data obtained from World Meteorological Organization Global Atmosphere Watch (WMO GAW) and Greenhouse Gases Observing Satellite (GOSAT). …”
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“…Based on the ecological PHS behavior data from two OMHS platforms, we extracted population, psychological problems, and influential factors of PHS behavior by text mining and time series analysis methods. Seven top-ranked psychological problems (i.e., depression and anxiety, lack of interest, suicidal tendencies, social phobia, feelings of being worried and afraid, suffering, anger) and seven influential factors (i.e., interpersonal relationships, love, family, work, psychotherapy, personal characteristics, marriage) were found. …”
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“…We also applied contemporary time-series analysis techniques to analyze a novel dataset comprising neuronal, epidermal, and migratory mesenchymal cells of the protochordate Ciona intestinalis.…”
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“…METHODS: An interrupted time series analysis assessing the trends in antibiotic use and incidence of antimicrobial resistance in major pathogens was conducted between March 2017 and April 2019 in an 859-bed university-affiliated hospital in Korea, where all ASP activities were discontinued in February 2018. …”
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“…However, it is unclear how shared the developmental programs of head organizer genesis are in budding and regeneration. Time-series analysis of gene expression changes during head regeneration and budding revealed a set of 298 differentially expressed genes during the 48-h head regeneration and 72-h budding time courses. …”
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“…Using an interrupted time series analysis for each medication, no general trend changes were observed. …”
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“…In comparison, machine learning classifiers using a variety of time series analysis approaches had F1 scores of 0.58–0.76 on a test data set. …”
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“…We conducted a time-series analysis to determine whether improvements in the safety of rapid sequence intubation (RSI) in our academic pediatric emergency department were sustained 5 years after a quality improvement initiative. …”
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“…To improve the reliability of Global Positioning System (GPS) signal extraction, the traditional variational mode decomposition (VMD) method cannot determine the number of intrinsic modal functions or the value of the penalty factor in the process of noise reduction, which leads to inadequate or over-decomposition in time series analysis and will cause problems. Therefore, in this paper, a new approach using improved variational mode decomposition and wavelet packet transform (IVMD-WPT) was proposed, which takes the energy entropy mutual information as the objective function and uses the grasshopper optimisation algorithm to optimise the objective function to adaptively determine the number of modal decompositions and the value of the penalty factor to verify the validity of the IVMD-WPT algorithm. …”
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“…After obtaining thousands of differentially expressed genes, a principal component analysis, the least absolute shrinkage and selection operator, and a time-series analysis were used to select the most predictive prognostic genes. …”
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“…This paper presents a time-series analysis of SO(2) air concentration and the effects of particulates (either PM(2.5) and PM(10)) concentrations and meteorological conditions (relative humidity and wind speed) on SO(2) trend in Tehran for the period from 2011 to 2020. …”
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“…The effect of the pandemic period on non-COVID-19 trials was determined by piece-wise regression models using 11 March 2020 as the start of the pandemic and by time series analysis (models fitted using 2015–2018 data and forecasted for 2019–2020). …”
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“…We used interrupted time series analysis to estimate changes in trends pre- and post-April 2020 to assess the impact of the first and subsequent lockdowns. …”
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