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Análisis de series de tiempo
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3041por Slama, Alessandro, Śliwczyński, Andrzej, Woźnica, Jolanta, Zdrolik, Maciej, Wiśnicki, Bartłomiej, Kubajek, Jakub, Turżańska-Wieczorek, Olga, Gozdowski, Dariusz, Wierzba, Waldemar, Franek, Edward“…This study aimed to assess the association of air pollution and hospitalizations using a large database comprising almost all hospitalizations in Poland. This time-series analysis has been conducted in five cities in Poland (Warsaw, Białystok, Bielsko-Biała, Kraków, Gdańsk) over a period of almost 4 years (2014–2017, 1255 days), covering more than 20 million of hospitalizations. …”
Publicado 2019
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3042Use of Twitter data to improve Zika virus surveillance in the United States during the 2016 epidemicpor Masri, Shahir, Jia, Jianfeng, Li, Chen, Zhou, Guofa, Lee, Ming-Chieh, Yan, Guiyun, Wu, Jun“…RESULTS: While models tended to over-predict at low case counts and under-predict at extreme high counts, a comparison of predicted versus observed weekly ZIKV case counts following model calibration demonstrated overall reasonable predictive accuracy, with an R(2) of 0.74 for the Florida model and 0.70 for the U.S. model. Time-series analysis of predicted and observed ZIKV cases following internal cross-validation exhibited very similar patterns, demonstrating reasonable model performance. …”
Publicado 2019
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3043por Wang, Huaguang, Wang, Han, Yu, Xiaojia, Zhou, Hong, Li, Boyu, Chen, Gang, Ye, Zhikang, Wang, Ying, Cui, Xiangli, Zheng, Yunying, Zhao, Rui, Yang, Hui, Wang, Zihui, Wang, Peng, Yang, Chunxia, Liu, Lihong“…The proportion of rational timing of initial dose increased from 71.11% to 96.74%, the proportion of rational duration rose from 2.84% to 42.63%. Time series analysis demonstrated the resistance rates of E. coli and P. aeruginosa to fluoroquinolones decreased, the incidence rate of methicillin-resistant Staphylococcus aureus also decreased, whereas the resistance rates of E. coli and K. pneumoniae to carbapenems increased. …”
Publicado 2019
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3044por Rogovoy, Nichole M., Howell, Stacey J., Lee, Tiffany L., Hamilton, Christopher, Perez‐Alday, Erick A., Kabir, Muammar M., Zhang, Yanwei, Kim, Esther D., Fitzpatrick, Jessica, Monroy‐Trujillo, Jose M., Estrella, Michelle M., Sozio, Stephen M., Jaar, Bernard G., Parekh, Rulan S., Tereshchenko, Larisa G.“…In adjusted for cardiovascular disease time‐series analysis, nonsustained ventricular tachycardia was preceded by a sudden heart rate increase (by 11.2 [95% CI 10.1–12.3] beats per minute; P<0.0001). …”
Publicado 2019
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3045por White, Bryan P, Chastain, Daniel B, Kinney, Karen, Thompson, Katie, Kelley, Jerry, McCloskey, Cindy B“…Monthly antibiotic utilization in days of therapy (DOT)/1,000 patient-days for levofloxacin, ciprofloxacin, ceftriaxone, trimethoprim/sulfamethoxazole (TMP/SMZ), fosfomycin, and nitrofurantoin, hospital-acquired CDI (HA-CDI) rates as defined by CDC, and Pseudomonas aeruginosa susceptibility was compared with interrupted time series analysis using Stata MP 12.1 before and after the intervention to compare the level, intercept, and rate, slope, of a trend line. …”
Publicado 2019
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3046“…The primary outcome was the usage trend of ertapenem, and secondary outcomes were rates of SSI, CRE, and hospital-onset C. difficile infection. Interrupted time series analysis was performed to assess changes in the rates over the study period. …”
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3047“…Analysis of the primary outcome will include interrupted time series analysis and simple comparisons of the pre and post-implementation periods. …”
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3048“…Changes in health service utilization (average length of stay), patient copayments (out-of-pocket expenses), New Rural Cooperative Medical System (NRCMS) reimbursement rate and daily hospitalization costs per patient were analyzed using interrupted time series analysis. Augment Dicky-Fuller unit root method was used to test the stationarity of the series alongside the Durbin Watson method to test autocorrelation. …”
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3049por Valencia-Martín, R., Gonzalez-Galan, V., Alvarez-Marín, R., Cazalla-Foncueva, A. M., Aldabó, T., Gil-Navarro, M. V., Alonso-Araujo, I., Martin, C., Gordon, R., García-Nuñez, E. J., Perez, R., Peñalva, G., Aznar, J., Conde, M., Cisneros, J. M.“…Analysis: joinpoint regression and interrupted time-series analysis. RESULTS: The intervention was successfully implemented. …”
Publicado 2019
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3050por Morgan, Tessa, Wu, Jianyun, Ovchinikova, Ludmila, Lindner, Robyn, Blogg, Suzanne, Moorin, Rachael“…METHODS: The effectiveness of the 2013 LBP program was evaluated using population-based time-series analysis of administrative claims data of Medicare Benefits Schedule (MBS) funded X-ray and CT scan services of the lower back. …”
Publicado 2019
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3051por Redondo-Bravo, Lidia, Ruiz-Huerta, Claudia, Gomez-Barroso, Diana, Sierra-Moros, María José, Benito, Agustín, Herrador, Zaida“…According to the predictive time series analysis, a continuing increase in imported dengue incidence can be expected in the near future, which, in the worst case scenario (upper 95% confidence interval), would mean an increase of 65% by 2025. …”
Publicado 2019
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3052por Sala, Carole, Vinard, Jean-Luc, Pandolfi, Fanny, Lambert, Yves, Calavas, Didier, Dupuy, Céline, Garin, Emmanuel, Touratier, Anne“…In our system, every Thursday, the number of deaths is grouped by ISO week and small surveillance areas and then analyzed using traditional time-series analysis steps (cleaning, prediction, signal detection). …”
Publicado 2020
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3053“…A multigroup interrupted time series analysis was performed to determine how procedural approaches (open, laparoscopic, and robotic) change after hospitals launch a robotic surgery program. …”
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3054por Limwattananon, Chulaporn, Jaratpatthararoj, Jiraphan, Thungthong, Jutatip, Limwattananon, Phumtham, Kitkhuandee, Amnat“…METHODS: Data on hospitalization with STEMI in 2011–2017 of 69,031 Universal Coverage Scheme (UCS) beneficiaries were used for estimating changes in the national aggregates of % reperfusion and mortality by a time-series analysis. Geographic distribution of PCI-capable hospitals and PCI recipients was illustrated per provinces. …”
Publicado 2020
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3055por Fisher, D., Tambyah, P.A., Lin, R.T.P., Jureen, R., Cook, A.R., Lim, A., Ong, B., Balm, M., Ng, T.M., Hsu, L.Y.“…Results were analysed via interrupted time-series analysis. FINDINGS: MRSA infections fell midway through the implementation, with MRSA bacteraemia declining from 0.26 [95% confidence interval (CI): 0.18–0.34] cases per 1000 inpatient-days in the first quarter of 2004 to 0.11 (95% CI: 0.07–0.19) cases per 1000 inpatient-days in the first quarter of 2012. …”
Publicado 2013
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3056por Lovely, Jenna K., Hickman, Joel A., Johnson, Matthew G., Naessens, James M., Morgenthaler, Timothy I.“…Retrospective interrupted time series analysis compared VTEP performance, VTE outcomes, and unintended consequences (derived from linked administrative and clinical data) across 5 improvement phases: baseline (January 1, 2005-December 31, 2006), paper order set phase (January 1, 2007-February 9, 2009), electronic order set phase (February 10, 2009-December 16, 2009), active reminder phase (December 17, 2009-May 31, 2012), and maintenance phase (June 1, 2012-September 30, 2015). …”
Publicado 2020
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3057“…DESIGN, SETTING, AND PARTICIPANTS: This comparative interrupted time series analysis examined enrollment and insurance claims data from Medicare beneficiaries with an opioid use disorder diagnosis or who filled a prescription for an opioid use disorder medication between 2012 and 2017. …”
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3058por Rubino, Annalisa, Sanon, Myrlene, Ganz, Michael L., Simpson, Alex, Fenton, Miriam C., Verma, Sumit, Hartry, Ann, Baker, Ross A., Duffy, Ruth A., Gwin, Keva, Fillit, Howard“…This interrupted time-series analysis applied to 3-year moving means derived from the 1996-2014 MEPS, NAMCS, and NHAMCS. …”
Publicado 2020
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3059por Srihari, Vinod, Ferrara, Maria, Kline, Emily, Li, Fangyong, Burke, Shadie, Cahill, John, Guloksuz, Sinan, Woods, Scott, Tek, Cenk, Keshavan, Matcheri“…RESULTS: The third quartile of DUP1 fell significantly at the intervention site in the pre- vs. post-campaign period (329 to 185 days, p=0.03). A time-series analysis revealed a cumulative effect of the campaign over time i.e. for each year of campaigning a 46-day reduction was achieved at STEP. …”
Publicado 2020
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3060por Son, Kyung-Bok“…Then, we applied a survival analysis to elucidate factors that affected the speed of adoption of NOACs, and interrupted time series analysis to estimate the effect of amendments in reimbursement coverage in prescription volume. …”
Publicado 2020
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