“…Using multiple baseline interrupted time series analysis to assess program effects, we tested whether trends during the program implementation period declined significantly compared to the 12 months before implementation. …”
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“…This study aims to concentrate on this region. Methods: A time-series analysis was used to examine the specific effects of major air pollutants (PM(10), SO(2) and NO(2)) on ER visits for respiratory diseases from 2007 to 2011 in the severely polluted city of Lanzhou. …”
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“…Distinguishing consistent declines versus stochastic fluctuations in anuran populations requires extensive time‐series analysis, coupled with an understanding of the shifts expected under local climatic conditions. …”
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“…Detailed analysis of proliferation dynamics in heterogeneous populations requires single cell resolution within a time series analysis and so is technically demanding to implement. …”
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“…We performed an interrupted time-series analysis to evaluate the change in daily RTIs before (January 1, 2009, to April 30, 2011) and after (May 1, 2011, to December 31, 2012) the criminalization of drunk driving. …”
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“…The count of days per week with a DTR of >7.5°C and <7.5°C were also calculated. Wavelet time series analysis was performed to determine the correlation between dengue incidence and DTR. …”
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“…Both the hydatid disease and influenza series become white noise after differencing, so no available ARIMA model can be fitted for these two diseases. CONCLUSION: Time series analysis of effective surveillance time series is useful for better understanding the occurrence of the 11 types of infectious disease.…”
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“…This study aimed to examine the socioeconomic factors affecting LEB in Iran from 1985 to 2013. METHODS: Time series analysis was used to examine the effects of key explanatory factors (GDP per capita, number of doctors per 10,000 population, degree of urbanization, food availability, CO2 emission, total fertility rate, inflation rate, and literacy rate) on LEB in Iran from 1985 to 2013. …”
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“…A case study comparing two other time series analysis models shows that the NAR model has better precision. …”
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“…We present a new analysis method in this class, the Markovian Entropy measure, which is an easily implementable calcium time series analysis method which represents the observed calcium activity as a realization of a Markov Process and describes its dynamics in terms of the level of predictability underlying the transitions between the states of the process. …”
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“…The estimates of association between air pollution and respiratory disease mortality from the case–crossover analysis displayed greater variation than that from the time-series analysis.…”
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“…We identified nine sets of gene triplets whose expression, when tested before the initiation of therapy, can predict the response to interferon beta with up to 86% accuracy. In addition, time-series analysis revealed potential key players involved in a good or poor response to interferon beta. …”
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“…The aims of this study were to model the temporal trends and provide forecasts of prehospital attendances for diabetic emergencies. METHODS: A time series analysis on monthly cases of hypoglycemia and hyperglycemia was conducted using data from the Ambulance Victoria (AV) electronic database between 2009 and 2015. …”
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“…Concepts of dual-time series analysis, perturbation theory (PT), and Box-Jenkins Operators were applied for the first time to develop an ANN model to predict the variations of the electrokinetic properties of microbiota. …”
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“…OBJECTIVES: Xinjiang is one of the highest TB-burdened provinces of China. A time-series analysis was conducted to evaluate the trend, seasonality of active TB in Xinjiang, and explore the underlying mechanism of TB seasonality by comparing the seasonal variations of different subgroups. …”
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“…In the present study, we combine a computational time series analysis on a 15-year (1995–2009) weekly-sampled time series (high-resolution long-term time series, 780 weeks) with an Autoregressive Distributed Lag Model to track non-seasonal changes in 10 potentially related parameters: sea surface temperature, nutrient concentrations (NO(2), NO(3), NH(4) and PO(4)), phytoplankton biomass (as in situ chlorophyll a biomass), meroplankton (barnacle and mussel larvae), and fish abundance (Mugil liza and Caranx latus). …”
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“…METHODS: Using a time series analysis, we examined the effect of tobacco-related legislations and news pieces on total search volume (TSV) from September 1, 2012, to August 31, 2016. …”
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“…Systems biology is an inter-disciplinary field of study focusing on complex interactions within biological systems like the cardiovascular system, with the help of computational models and time series analysis, beyond others. Time series are considered surrogates of the particular system, reflecting robustness or fragility. …”
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“…Interrupted time series and dose-response analyses are proposed as the strongest quasi-experimental impact evaluation designs for analysis of malaria outcome indicators from routine HMIS data. Interrupted time series analysis compares the outcome trend and level before and after the introduction of an intervention, set of interventions or program. …”
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“…The study was based on a time series analysis, using conventional statistical tools, and the identification of breaking points, using a segmented regression. …”
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