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Análisis de series de tiempo
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241por Namuganga, Jane Frances, Briggs, Jessica, Roh, Michelle E, Okiring, Jaffer, Kisambira, Yasin, Sserwanga, Asadu, Kapisi, James Apollo, Arinaitwe, Emmanuel, Ebong, Chris, Ssewanyana, Isaac, Greenhouse, Bryan, Maiteki-Ssebuguzi, Catherine, Kamya, Moses R, Staedke, Sarah G, Dorsey, Grant, Nankabirwa, Joaniter I“…We performed an interrupted time series analysis (ITSA) to assess whether major changes in healthcare seeking behavior, malaria burden, and case management occurred after the onset of the COVID-19 epidemic. …”
Publicado 2021
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242“…We tried to assess the impact of this form of lockdown on the daily number of positive coronavirus disease 2019 (COVID-19) cases, using interrupted time series analysis. We included the period of March 5 to April 17, 2021, as the period affected by the Friday lockdown, which was applied to seven consecutive Fridays with a total of 168 hours. …”
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243por Molefi, Mooketsi, Tlhakanelo, John T., Phologolo, Thabo, Hamda, Shimeles G., Masupe, Tiny, Tsima, Billy, Setlhare, Vincent, Mashalla, Yohana, Wiebe, Douglas J.Enlace del recurso
Publicado 2021
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244“…It is important to quantitatively assess those fish species affected most and the extent of the pandemic’s impact on them, to take specific countermeasures. We propose a time-series analysis as an alternative to the current practice of using ad hoc year-on-year comparisons. …”
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245por de Brito, Rodrigo José Videres Cordeiro, da Silva, Leonardo Feitosa, Santos, Márcio Bezerra, de Moura, Patrícia Muniz Mendes Freire, de Souza, Carlos Dornels Freire, do Carmo, Rodrigo Feliciano“…The indicators were obtained from the databases of the Brazilian Ministry of Health. For the time series analysis, a joinpoint regression model was used. …”
Publicado 2022
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247“…To analyze and predict landslide displacement better, we propose a dynamic landslide displacement prediction model based on time series analysis and a double-bidirectional long short term memory (Double-BiLSTM) model. …”
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248por Watterson, Taylor L., Stone, Jamie A., Gilson, Aaron, Brown, Roger, Xiong, Ka Z., Schiefelbein, Anthony, Ramly, Edmond, Kleinschmidt, Peter, Semanik, Michael, Craddock, Lauren, Pitts, Samantha I., Woodroof, Taylor, Chui, Michelle A.“…The study utilized an interrupted time series analysis (ITSA) to capture the percentage of controlled substance medications that were discontinued in the clinic’s electronic health record and discontinued in the pharmacy’s dispensing software. …”
Publicado 2022
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249por Behzadifar, Masoud, Aalipour, Afshin, Kehsvari, Mohammad, Darvishi Teli, Banafsheh, Ghanbari, Mahboubeh Khaton, Gorji, Hasan Abolghasem, Sheikhi, Alaeddin, Azari, Samad, Heydarian, Mohammad, Ehsanzadeh, Seyed Jafar, Kong, Jude Dzevela, Ahadi, Maryam, Bragazzi, Nicola Luigi“…METHOD: In this quasi-experimental study, we conducted the interrupted time series analysis to evaluate COVID-19 induced changes in monthly revenues of 18 public hospitals, from April 2018 to August 2021, in Lorestan, Iran. …”
Publicado 2022
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250por Guðmundsdóttir, Rebekka Björg, Jónsson, Brynjólfur Gauti Guðrúnar, Valdimarsdottir, Unnur, Carlsen, Hanne Krage, Hlodversdottir, Heidrun, Song, Huan, Thordardottir, Edda Bjork, Pétursdóttir, Guðrún, Briem, Haraldur, Gislason, Thorarinn, Gudnason, Thorolfur, Thorsteinsson, Thröstur, Zoega, Helga, Hauksdóttir, Arna“…MAIN OUTCOME MEASURES: Using interrupted time series analysis, we examined annual and quarterly changes in medicine use, measured as number of dispensed defined daily dose (DDD) per 1000 individuals. …”
Publicado 2022
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251por Zafar, Anush, Rehm, Jürgen, Feng, Xinyang, Jiang, Huan, Kim, Kawon Victoria, Manthey, Jakob, Radišauskas, Ričardas, Štelemėkas, Mindaugas, Petkevičienė, Janina, Tran, Alexander, Lange, Shannon“…An interrupted time-series analysis using a generalised additive mixed model was performed for each policy. …”
Publicado 2022
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253por Fuseini, Kamil, Jarvis, Leah, Hindin, Michelle J., Issah, Kofi, Ankomah, Augustine“…Data on total number of emergency contraceptive users from January 2018 to February 2020 (pre-pandemic) and March to December 2020 (during the pandemic) were extracted from the Ghana Health Service District Health Information Management System. Interrupted Time Series analysis was used to estimate the impact of the pandemic on the trend of emergency contraceptive use, adjusting for serial autocorrelation and seasonality. …”
Publicado 2022
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254“…We included any document reporting both currently into force and past national tax laws addressing SSBs. As to the time series analysis, data regarding the national prevalence of obesity, overweight, and diabetes were retrieved from WHO Global Health Observatory data repository. …”
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255por Ho, Andrew Fu Wah, Hu, Zhongxun, Woo, Ting Zhen Cheryl, Tan, Kenneth Boon Kiat, Lim, Jia Hao, Woo, Maye, Liu, Nan, Morgan, Geoffrey G., Ong, Marcus Eng Hock, Aik, JoelEnlace del recurso
Publicado 2022
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257“…The present study focused on time-series analysis of leishmaniasis cases reported from Sri Lanka with selected climatic variables. …”
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258The impact of the COVID-19 pandemic on suicide rates in Hungary: an interrupted time-series analysis“…An interrupted time-series analysis was conducted by negative binomial regression using monthly data from January 2010 to February 2020 (pre-pandemic period). …”
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259Trends of Negotiated Targeted Anticancer Medicines Use in China: An Interrupted Time Series Analysispor Huang, Cong, Ung, Carolina Oi Lam, Wushouer, Haishaerjiang, Bai, Lin, Li, Xinyi, Guan, Xiaodong, Shi, LuwenEnlace del recurso
Publicado 2021
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260por Pinto, Rafael, Valentim, Ricardo, Fernandes da Silva, Lyrene, Fontoura de Souza, Gustavo, Góis Farias de Moura Santos Lima, Thaísa, Pereira de Oliveira, Carlos Alberto, Marques dos Santos, Marquiony, Espinosa Miranda, Angélica, Cunha-Oliveira, Aliete, Kumar, Vivekanandan, Atun, Rifat“…METHODS: A quasi-experimental study using time series analysis was conducted to assess immediate impacts and changes to the trend in national congenital syphilis before and after the project, from September 2016 to December 2019. …”
Publicado 2021
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