Mathematics of Public Health
portes grátis
Mathematics of Public Health
Proceedings of the Seminar on the Mathematical Modelling of COVID-19
Wu, Jianhong; Murty, V. Kumar
Springer Nature Switzerland AG
02/2023
353
Mole
Inglês
9783030850555
15 a 20 dias
Descrição não disponível.
Diverse local epidemics reveal the distinct effects of population density, demographics, climate, depletion of susceptibles, and intervention in the first wave of COVID-19 in the United States (N. Ashfordi, B. Holder, M. Bahrami, D. Lichtblau).- Describing, modelling and forecasting the spatial and temporal spread of COVID-19 (J. Arino).- A logistic growth model with logistically varying carrying capacity for Covid-19 deaths using data from Ontario, Canada (G. Bucyibaruta, C.B. Dean, E.M. Renouf).- COVID-19 in Ontario (R. Fields, L Humphrey, E.W. Thommes, M.G. Cojocaru).- Sub-epidemic model forecasts during the first wave of the COVID-19 pandemic in the USA and European hotspots (G. Chowell, R. Rothenberg, K. Roosa, A. Tariq, J.M. Hyman, R. Luo).- A Model on the Large Scale Use of Convalescent Plasma to Treat Patients with Severe Symptoms (X. Huo).- Don't wait, re-escalate: delayed action results in longer duration of COVID-19 restrictions (A. Hurford, J. Watmough).- Generalized Additive Models to Capture the Death Rates in Canada COVID-19 (F. Izadi).- Real-time prediction of the end of an epidemic wave (Q. Griette, Z. Liu, P. Magal, R.N. Thompson).- The Effect that Heterogeneity in Social Distancing Has on the Infection Peak (C. McCluskey).- Forecasting PPE Demand for Ontario Acute Care Hospitals During COVID-19 (B. Sander).- Learning COVID-19 Mitigation Strategies using Reinforcement Learning (N. Denis, A. El-Hajj, B Drummond, Y. Abiza, K.C. Gopaluni).- Joint Modeling of Hospitalization and Mortality of Ontario Covid-19 cases (D.Z. Xi).- Evaluating the risk of reopening the border: a case study of Ontario (Canada) to New York (USA) using mathematical modeling (P. Yuan, E. Aruffo, Q. Li, J. Li, Y. Tan, T. Zheng, J. David, N. Ogden, E. Gatov, E. Gournis, S. Collier, B. Sander, G. Fan, J. Heffernan, J. Li, J.D. Kong, J. Arino, J. Belair, J. Watmough, H. Zhu).- Optimal staged reopening schedule based on ICU capacity (K. Nah, M. Chen, A. Asgary, Z. McCarthy, F. Scarabel, Y. Xiao, N.L. Bragazzi, J.M. Heffernan, N.H. Ogden, J.Wu).- Mathematics of the Pandemic (M.R. Murty, V.K. Murty).- A mathematical model for evaluating the impact of non-pharmaceutical interventions on the COVID-19 epidemic in the United Kingdom (H. Zhu).- COVID-19 in Japan (H. Nishiura).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fields math modelling taskforce;COVID-19 pandemic research;mathematical methods COVID-19;COVID-19 outbreak trajectories;SEIR modeling;transmission dynamics;nearcasting COVID-19;forecasting COVID-19;plasma treatment COVID-19;control measures;reported and unreported cases;regression analysis;semi-parametric models;generalized linear models;generalized additive models;statistical analysis;data modeling;link functions;intermediate rank spline;optimization
Diverse local epidemics reveal the distinct effects of population density, demographics, climate, depletion of susceptibles, and intervention in the first wave of COVID-19 in the United States (N. Ashfordi, B. Holder, M. Bahrami, D. Lichtblau).- Describing, modelling and forecasting the spatial and temporal spread of COVID-19 (J. Arino).- A logistic growth model with logistically varying carrying capacity for Covid-19 deaths using data from Ontario, Canada (G. Bucyibaruta, C.B. Dean, E.M. Renouf).- COVID-19 in Ontario (R. Fields, L Humphrey, E.W. Thommes, M.G. Cojocaru).- Sub-epidemic model forecasts during the first wave of the COVID-19 pandemic in the USA and European hotspots (G. Chowell, R. Rothenberg, K. Roosa, A. Tariq, J.M. Hyman, R. Luo).- A Model on the Large Scale Use of Convalescent Plasma to Treat Patients with Severe Symptoms (X. Huo).- Don't wait, re-escalate: delayed action results in longer duration of COVID-19 restrictions (A. Hurford, J. Watmough).- Generalized Additive Models to Capture the Death Rates in Canada COVID-19 (F. Izadi).- Real-time prediction of the end of an epidemic wave (Q. Griette, Z. Liu, P. Magal, R.N. Thompson).- The Effect that Heterogeneity in Social Distancing Has on the Infection Peak (C. McCluskey).- Forecasting PPE Demand for Ontario Acute Care Hospitals During COVID-19 (B. Sander).- Learning COVID-19 Mitigation Strategies using Reinforcement Learning (N. Denis, A. El-Hajj, B Drummond, Y. Abiza, K.C. Gopaluni).- Joint Modeling of Hospitalization and Mortality of Ontario Covid-19 cases (D.Z. Xi).- Evaluating the risk of reopening the border: a case study of Ontario (Canada) to New York (USA) using mathematical modeling (P. Yuan, E. Aruffo, Q. Li, J. Li, Y. Tan, T. Zheng, J. David, N. Ogden, E. Gatov, E. Gournis, S. Collier, B. Sander, G. Fan, J. Heffernan, J. Li, J.D. Kong, J. Arino, J. Belair, J. Watmough, H. Zhu).- Optimal staged reopening schedule based on ICU capacity (K. Nah, M. Chen, A. Asgary, Z. McCarthy, F. Scarabel, Y. Xiao, N.L. Bragazzi, J.M. Heffernan, N.H. Ogden, J.Wu).- Mathematics of the Pandemic (M.R. Murty, V.K. Murty).- A mathematical model for evaluating the impact of non-pharmaceutical interventions on the COVID-19 epidemic in the United Kingdom (H. Zhu).- COVID-19 in Japan (H. Nishiura).
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Fields math modelling taskforce;COVID-19 pandemic research;mathematical methods COVID-19;COVID-19 outbreak trajectories;SEIR modeling;transmission dynamics;nearcasting COVID-19;forecasting COVID-19;plasma treatment COVID-19;control measures;reported and unreported cases;regression analysis;semi-parametric models;generalized linear models;generalized additive models;statistical analysis;data modeling;link functions;intermediate rank spline;optimization
