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A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile

, , , and . Journal of Biological Dynamics, 17 (1): 2256774 (2023)PMID: 37708159.
DOI: 10.1080/17513758.2023.2256774

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Null Models for Community Detection in Spatially-Embedded, Temporal Networks., , , and . CoRR, (2014)A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile, , , and . Journal of Biological Dynamics, 17 (1): 2256774 (2023)PMID: 37708159.Signatures of non-homogeneous mixing in disease outbreaks., and . Mathematical and Computer Modelling, 48 (1-2): 122-140 (2008)A Data-Driven Mathematical Model of CA-MRSA Transmission among Age Groups: Evaluating the Effect of Control Interventions., , and . PLoS Computational Biology, (2013)Impact of School Cycles and Environmental Forcing on the Timing of Pandemic Influenza Activity in Mexican States, May-December 2009., , , and . PLoS Computational Biology, (2015)Risk Factors for Mortality among 2009 A/H1N1 Influenza Hospitalizations in Maricopa County, Arizona, April 2009 to March 2010., , , , and . Comp. Math. Methods in Medicine, (2012)Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams., , , , and . BioSurveillance, volume 4506 of Lecture Notes in Computer Science, page 79-90. Springer, (2007)A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile, , , and . Journal of biological dynamics, 17 (1): 2256774 (2023)NOTES2: Networks-of-Traces for Epidemic Spread Simulations., , , , and . AAAI Workshop: Computational Sustainability, volume WS-15-06 of AAAI Technical Report, AAAI Press, (2015)