Projects And Papers By TC HMS Members Projects CRUSH Covid, Uppsala, Sweden https://www.uu.se/forskning/projekt/crush-covid/?languageId=1 Covid-19: Dynamical modeling for estimation and prediction, Lund, Sweden https://portal.research.lu.se/portal/en/projects/covid19-dynamical-modelling-for-estimation-and-prediction(7567b50e-cbe9-4bf4-99f9-ffa2caf7e7aa).html Understanding Covid-19 transmission with non-Markovian models, Kansas State University, https://www.ece.k-state.edu/netse/projects/sprojects/covid_19.html Covid-19 project of Mathukumalli Vidyasagar, Indian Institute of Technology, https://www.iith.ac.in/~m_vidyasagar/research.html Papers Ye Yuan, Chuan Sun, Xiuchuan Tang, Cheng Cheng, Laurent Mombaerts, Maolin Wang, Tao Hue, Chenyu Sun, Yuqi Guo, Xiuting Li, Hui Xu, Tongxin Ren, Yang Xiao, Yaru Xiao, Hongling Zhu, Honghan Wu, Kezhi Li, Chuming Chen, Yingxia Liu, Zhichao Liang, Zhiguo Cao, Hai-Tao Zhang, Ioannis Ch. Paschalidis, Quanying Liu, Jorge Goncalves, Qiang Zhong, and Li Yan, “Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China”, Engineering, 2020. Salomon Wollenstein-Betech, Amanda A. B. Silva, Julia L. Fleck, Christos G. Cassandras, Ioannis Ch. Paschalidis, “Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil”, PLOS One, Vol. 15, No. 10, e0240346, 2020. Taiyao Wang, Aris Paschalidis, Quanying Liu, Yingxia Liu, Ye Yuan, Ioannis Ch. Paschalidis, “Predictive Models of Mortality for Hospitalized COVID-19 Patients: Retrospective Cohort Study”, JMIR Medical Informatics, Vol. 8, No. 10, e21788, 2020. Boran Hao, Shahabeddin Sotudian, Taiyao Wang, Tingting Xu, Yang Hu, Apostolos Gaitanidis, Kerry Breen, and George C. Velmahos, Ioannis Ch. Paschalidis, “Early prediction of level of care requirements in patients with COVID-19”, eLife, 2020;9:e60519. Salomon Wollenstein-Betech and Christos G.Cassandras, Ioannis Ch. Paschalidis, “Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or Ventilator”, International Journal of Medical Informatics, Vol. 142, 104258, 2020. Alessandro Borri, Pasquale Palumbo, Federico Papa, Corrado Possieri, “Optimal design of lock-down and reopening policies for early-stageepidemics through SIR-D models”, Annual Reviews in Control, 2020 Yang, Z., Bogdan, P. & Nazarian, S. An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study. Sci Rep 11, 3238 (2021). https://doi.org/10.103/s41598-021-81749-9 Soltesz, K., Gustafsson, F., Timpka, T. et al. The effect of interventions on COVID-19. Nature 588, E26–E28 (2020). https://www.nature.com/articles/s41586-020-3025-y Jain, S., Xiao, X., Bogdan, P. et al. "Generator based approach to analyze mutations in genomic datasets", Sci Rep 11, 21084 (2021). https://doi.org/10.1038/s41598-021-00609-8
