Results 11 to 20 of about 1,494,547 (346)

Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions

BMC Medical Research Methodology, 2021
Background Interrupted time series analysis is increasingly used to evaluate the impact of large-scale health interventions. While segmented regression is a common approach, it is not always adequate, especially in the presence of seasonality and ...
A. Schaffer, T. Dobbins, Sallie-Anne Pearson   +2 more
semanticscholar   +1 more source

In praise of Prais‐Winsten: An evaluation of methods used to account for autocorrelation in interrupted time series

Statistics in Medicine, 2023
Interrupted time series are increasingly being used to assess the population impact of public health interventions. These data are usually correlated over time (auto correlated) and this must be accounted for in the analysis.
C. Bottomley, M. Ooko, A. Gasparrini, RH Keogh   +3 more
semanticscholar   +1 more source

Changes in soft drinks purchased by British households associated with the UK soft drinks industry levy: a controlled interrupted time series analysis

BMJ Open, 2023
Objective To determine changes in household purchases of drinks 1 year after implementation of the UK soft drinks industry levy (SDIL). Design Controlled interrupted time series.
N. Rogers, D. Pell, O. Mytton, Tarra L Penney, A. Briggs, S. Cummins, C. Jones, M. Rayner, Harry Rutter, P. Scarborough, Stephen J Sharp, Richard Smith, M. White, J. Adams   +13 more
semanticscholar   +1 more source

Estimated impact of the UK soft drinks industry levy on childhood hospital admissions for carious tooth extractions: interrupted time series analysis

BMJ Nutrition, Prevention & Health, 2023
Introduction Tooth extraction due to dental caries is associated with socioeconomic deprivation and is a major reason for elective childhood hospital admissions in England. Consumption of sugar-sweetened beverages is a risk factor for dental caries.
N. Rogers, David I. Conway, O. Mytton, Chrissy H. Roberts, Harry Rutter, A. Sherriff, Martin White, Jean Adams   +7 more
semanticscholar   +1 more source

Impact of COVID-19 on the antenatal care services utilization in the region of Guelmim Oued Noun, Morocco

Journal of Public Health in Africa, 2023
Background: The COVID-19 pandemic has seriously impacted access to healthcare facilities across the world, but there is little evidence of how the pandemic influences the use of essential healthcare in the world. Objective: This study aimed to evaluate
Jamal Tikouk, Asmaa Ait Boubkr, Mohammed Alami Chentoufi   +2 more
doaj   +1 more source

Non-pharmaceutical interventions for COVID-19 reduced the incidence of infectious diseases: a controlled interrupted time-series study

Infectious Diseases of Poverty, 2023
Background Non-pharmaceutical interventions (NPIs) have been implemented worldwide to suppress the spread of coronavirus disease 2019 (COVID-19). However, few studies have evaluated the effect of NPIs on other infectious diseases and none has assessed ...
Wenyi Zhang, Yao Wu, Bo Wen, Yongming Zhang, Yong Wang, W. Yin, Shan-hua Sun, Xianyu Wei, Hailong Sun, Zhijie Zhang, Shanshan Li, Yuming Guo   +11 more
semanticscholar   +1 more source

Forty‐seven year trend of measles in Iran: An interrupted time series analysis

Health Science Reports, 2023
Background and Aim Measles is an acute viral infectious disease usually characterized by erythematous maculopapular rash and sometimes pneumonia, diarrhea, and Central Nervous System disturbance.
Yousef Alimohamadi, Mojtaba Sepandi
doaj   +1 more source

Interrupted time series analysis using the ARIMA model of the impact of COVID-19 on the incidence rate of notifiable communicable diseases in China

BMC Infectious Diseases, 2023
The coronavirus disease 2019 (COVID-19) pandemic in China is ongoing. Some studies have shown that the incidence of respiratory and intestinal infectious diseases in 2020 decreased significantly compared with previous years. Interrupted time series (ITS)
Qin Zhou, Junxian Hu, Wensui Hu, Hailin Li, G. Lin   +4 more
semanticscholar   +1 more source

Healthcare utilization and maternal and child mortality during the COVID-19 pandemic in 18 low- and middle-income countries: An interrupted time-series analysis with mathematical modeling of administrative data

PLoS Medicine, 2022
Background The Coronavirus Disease 2019 (COVID-19) pandemic has had wide-reaching direct and indirect impacts on population health. In low- and middle-income countries, these impacts can halt progress toward reducing maternal and child mortality.
T. Ahmed, T. Roberton, P. Vergeer, Peter M Hansen, Michael A. Peters, A. Ofosu, C. Mwansambo, C. Nzelu, C. S. Wesseh, Francis Smart, J. Alfred, Mamoutou Diabaté, M. Baye, M. L. Yansané, Naod Wendrad, Nurfaiza Mohamud, Paul Mbaka, S. Yuma, Y. Ndiaye, Husnia Sadat, H. Uddin, Helen Kiarie, Raharison Tsihory, G. Mwinnyaa, Jean de Dieu Rusatira, Pablo Amor Fernandez, Pierre Muhoza, Prativa Baral, S. Drouard, T. Hashemi, Jed Friedman, Gil Shapira   +31 more
semanticscholar   +1 more source

Effectiveness of hierarchical medical system policy: an interrupted time series analysis of a pilot scheme in China

Health Policy and Planning, 2023
The Chinese healthcare system faces a dilemma between its hospital-centric approach to healthcare delivery and a rapidly ageing population that requires strong primary care.
Huajie Hu, Ruilin Wang, Huangqianyu Li, Sheng Han, P. Shen, Hong-bo Lin, X. Guan, Luwen Shi   +7 more
semanticscholar   +1 more source