| Prolonged wait time is associated with increased mortality for Chilean waiting list patients with non-prioritized conditions DA Martinez, H Zhang, M Bastias, F Feijoo, J Hinson, R Martinez, ... BMC public health 19, 1-11, 2019 | 52 | 2019 |
| A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels DM Prieto, TK Das, AA Savachkin, A Uribe, R Izurieta, S Malavade BMC public health 12, 1-13, 2012 | 45 | 2012 |
| A predictive decision-aid methodology for dynamic mitigation of influenza pandemics A Uribe-Sánchez, A Savachkin, A Santana, D Prieto-Santa, TK Das OR spectrum 33, 751-786, 2011 | 39 | 2011 |
| An operational epidemiological model for calibrating agent-based simulations of pandemic influenza outbreaks D Prieto, TK Das Health care management science 19, 1-19, 2016 | 21 | 2016 |
| Evaluation of Michigan's engineering improvements for older drivers. V Kwigizile, JS Oh, R Van Houten, D Prieto, R Boateng, L Rodriguez, ... Michigan. Dept. of Transportation. Office of Research Administration, 2015 | 13 | 2015 |
| Latino household transmission of severe acute respiratory syndrome coronavirus 2 DA Martinez, EY Klein, C Parent, D Prieto, BF Bigelow, RE Saxton, ... Clinical Infectious Diseases 74 (9), 1675-1677, 2022 | 9 | 2022 |
| A Bayesian network and heuristic approach for systematic characterization of radiotherapy receipt after breast-conservation surgery M Soto-Ferrari, D Prieto, G Munene BMC Medical Informatics and Decision Making 17, 1-16, 2017 | 9 | 2017 |
| Parallel programming approaches for an agent-based simulation of concurrent pandemic and seasonal influenza outbreaks M Soto-Ferrari, P Holvenstot, D Prieto, E de Doncker, J Kapenga Procedia computer science 18, 2187-2192, 2013 | 9 | 2013 |
| GPGPU parallelization of self-calibrating agent-based influenza outbreak simulation P Holvenstot, D Prieto, E de Doncker 2014 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2014 | 8 | 2014 |
| Literature review of data-based models for identification of factors associated with racial disparities in breast cancer mortality D Prieto, M Soto-Ferrari, R Tija, L Peña, L Burke, L Miller, K Berndt, B Hill, ... Health Systems 8 (2), 75-98, 2019 | 7 | 2019 |
| Evaluación del Riego Superficial como herramienta para el mejoramiento del diseño y operación de los sistemas R Martínez, D Prieto, A Antúnez, M Pla, H Zelmer Recuperado de: http://consorciohidraulico. com. ar/userfiles/Informes/2016 …, 2016 | 7 | 2016 |
| Hybrid multi-threaded simulation of agent-based pandemic modeling using multiple GPUs B Shekh, E de Doncker, D Prieto 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 7 | 2015 |
| A predictive decision aid methodology for dynamic mitigation of influenza pandemics: special issue on optimization in disaster relief A Uribe, A Savachkin, A Santana, D Prieto, TK Das OR Spectrum 6, 1-36, 2011 | 5 | 2011 |
| Supplemental data and model parameter values for cross-regional simulation-based optimization testbed A Savachkin, A Uribe-Sánchez, T Das, D Prieto, A Santana, D Martinez | 5 | 2010 |
| AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study M Soto-Ferrari, A Carrasco-Pena, D Prieto Journal of Business Analytics 6 (3), 217-242, 2023 | 4 | 2023 |
| Depresión y ansiedad durante el aislamiento obligatorio por el COVID-19 en Lima Metropolitana. Liberabit. 2020; 26 (2) D Prieto, G Aguirre, G Luna, L Merea, C Lazarte, K Uribe, A Zegarra | 4 | |
| A cross-regional pandemic outbreak simulation model: an aid to national resource allocation policy making A Uribe, D Prieto, A Savachkin, T Das, Y Zhu Proceedings of the 3rd INFORMS workshop on data mining and health …, 2008 | 2 | 2008 |
| Deep Learning Architectures Framework for Emerging Outbreak Forecasting of Mpox: A Bagged Ensemble Scheme to Model Accurate Prediction Intervals M Soto-Ferrari, A Carrasco-Pena, D Prieto | 1 | 2023 |
| Dynamic downscaling and daily nowcasting from influenza surveillance data R Paul, D Han, E DeDoncker, D Prieto Statistics in Medicine 41 (21), 4159-4175, 2022 | 1 | 2022 |
| Flu MODELO 1.0: A simulation model and graphic interface for training and decision support for influenza management G Ostroy, D Prieto, Y Gu, E Dedoncker, R Paul 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 1 | 2017 |
