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Tian_2016 |
The similarity analysis of financial stocks based on information clustering |
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2016 |
2016-05-26 |
PMC |
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PMC7088863 |
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10.1007/s11071-016-2851-9 |
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0.886806 |
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Argyroudis_2019 |
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Zhao_2013 |
Estimation with Right-Censored Observations Under A Semi-Markov Model |
Zhao, Lihui; Hu, X. Joan |
2013 |
2013-03-01 |
PMC |
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PMC3713855 |
23874060.0 |
10.1002/cjs.11176 |
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0.885701 |
Bocharov_2018, Chowell_2017 |
Soubeyrand_2007, Black_2013, Hirose_2007, Roques_2020 |
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So_M_2008 |
A multivariate threshold stochastic volatility model |
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2008 |
2008-12-01 |
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PMC7127604 |
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10.1016/j.matcom.2007.12.003 |
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Chowell_2017, Bocharov_2018, Bifolchi_2013, Zhao_2013 |
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Bayesian analysis of robust Poisson geometric process model using heavy-tailed distributions |
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PMC7114253 |
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10.1016/j.csda.2010.06.011 |
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Bifolchi_2013, Chowell_2017, Lloyd_2009, Zhao_2013 |
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Optimal harvesting for a stochastic regime-switching logistic diffusion system with jumps |
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10.1016/j.nahs.2014.01.001 |
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0.765850 |
Bocharov_2018, Chowell_2017, Bifolchi_2013 |
Guo_W_2018, Chen_2018, Cazelles_2018, Lan_G_2019 |
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Estimation and tests for power-transformed and threshold GARCH models |
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PMC7116990 |
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10.1016/j.jeconom.2007.06.004 |
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Höhle_2007, Zhao_2013, Pekalp_2019, Bifolchi_2013 |
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Weighted multifractal cross-correlation analysis based on Shannon entropy |
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PMC7128505 |
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10.1016/j.cnsns.2015.06.029 |
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Zhao_2013 |
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Model-based estimation of the link between the daily survival probability and a time-varying covariate, application to mosquitofish survival data |
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PMC7125893 |
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10.1016/j.mbs.2007.06.005 |
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0.721478 |
Bifolchi_2013, Zhao_2013, Bocharov_2018, Chowell_2017 |
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BioRxiv |
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10.1101/191601 |
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Bifolchi_2013, Chowell_2017, Kenah_2007, Simon_2010 |
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Höhle_2007 |
RLadyBug—An R package for stochastic epidemic models |
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PMC7114252 |
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10.1016/j.csda.2006.11.016 |
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Bifolchi_2013, Bocharov_2018, Chowell_2017 |
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Modeling epidemics using cellular automata |
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PMC7127728 |
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10.1016/j.amc.2006.06.126 |
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Bocharov_2018, Li_C_2018 |
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A Bayesian Logistic Growth Model for the Spread of COVID-19 in New York |
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BioRxiv |
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10.1101/2020.04.05.20054577 |
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PMC7126015 |
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10.1016/j.physa.2019.04.052 |
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Li_C_2018, Lloyd_2009, Chowell_2017 |
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A Network-based Analysis of the 1861 Hagelloch Measles Data |
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PMC4553425 |
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Bifolchi_2013, Höhle_2007, Chowell_2017, Bocharov_2018 |
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Discrete Stochastic Analogs of Erlang Epidemic Models |
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PMC6120589 |
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PMC7079990 |
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10.1007/s00285-010-0344-x |
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Bocharov_2018, Bifolchi_2013, Chowell_2017 |
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A Fractal kinetics SI model can explain the dynamics of COVID-19 epidemics |
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BioRxiv |
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10.1101/2020.04.11.20061366 |
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Bocharov_2018, Li_K_2011, Bifolchi_2013, Li_C_2018, Chowell_2017 |
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Hu_J_2016 |
Optimal Data Transmission Strategy for Healthcare-Based Wireless Sensor Networks: A Stochastic Differential Game Approach |
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PMC7088864 |
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10.1007/s11277-016-3316-7 |
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Bocharov_2018, Duan_2015 |
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Analysis of COVID-19 spread in South Korea using the SIR model with time-dependent parameters and deep learning |
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2020-04-17 |
BioRxiv |
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10.1101/2020.04.13.20063412 |
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Bocharov_2018, Bifolchi_2013, Chowell_2017, Höhle_2007 |
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Liao_2013 |
The benefit of modeling jumps in realized volatility for risk prediction: Evidence from Chinese mainland stocks |
Liao, Yin |
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PMC7147854 |
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10.1016/j.pacfin.2013.01.002 |
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Bocharov_2018, Chowell_2017, So_M_2008, Duan_2015 |
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Prediction of Coronavirus Disease (covid-19) Evolution in USA with the Model Based on the Eyring Rate Process Theory and Free Volume Concept |
Tian Hao |
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2020-04-22 |
BioRxiv |
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10.1101/2020.04.16.20068692 |
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Bocharov_2018, Zheng_2020, Leach_2010 |
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Evaluating the Adequacy of Molecular Clock Models Using Posterior Predictive Simulations |
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PMC |
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PMC7107558 |
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10.1093/molbev/msv154 |
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Bocharov_2018, Chowell_2017 |
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AAEDM: Theoretical Dynamic Epidemic Diffusion Model and Covid-19 Korea Pandemic Cases |
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2020-03-20 |
BioRxiv |
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10.1101/2020.03.17.20037838 |
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Bocharov_2018, Chowell_2017, Grassly_2008, Bifolchi_2013 |
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Effects of superspreaders in spread of epidemic |
Fujie, Ryo; Odagaki, Takashi |
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PMC7127014 |
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10.1016/j.physa.2006.08.050 |
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Bifolchi_2013, Kenah_2007, Li_K_2011, Li_C_2018 |
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Partially latent class models for case–control studies of childhood pneumonia aetiology |
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PMC7169268 |
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10.1111/rssc.12101 |
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Bocharov_2018, Lloyd_2009, Li_C_2018, Zheng_2020 |
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How domain growth is implemented determines the long term behaviour of a cell population through its effect on spatial correlations |
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2016-02-26 |
BioRxiv |
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10.1101/041509 |
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Bocharov_2018, O'Dea_2010 |
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Elementary time-delay dynamics of COVID-19 disease |
Jose Menendez |
2020 |
2020-03-30 |
BioRxiv |
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10.1101/2020.03.27.20045328 |
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Li_C_2018, Bifolchi_2013, Lloyd_2009, Renna_2020, Welch_2011 |
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Using curvature to infer COVID-19 fractal epidemic network fragility and systemic risk |
Danillo Barros de Souza; Fernando A N Santos; Everlon Figueiroa; Jailson B Correia; Hernande P da Silva; Jose Luiz de Lima Filho; Jones Albuquerque |
2020 |
2020-04-06 |
BioRxiv |
Y |
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10.1101/2020.04.01.20047225 |
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Bifolchi_2013, Bocharov_2018, Chowell_2017, Li_K_2011, Li_C_2018 |
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Infection Dynamics of Coronavirus Disease 2019 (Covid-19) Modeled with the Integration of the Eyring Rate Process Theory and Free Volume Concept |
Tian Hao |
2020 |
2020-02-29 |
BioRxiv |
Y |
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10.1101/2020.02.26.20028571 |
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Bifolchi_2013, Welch_2011, Li_C_2018 |
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Maeno_2010 |
Discovering network behind infectious disease outbreak |
Maeno, Yoshiharu |
2010 |
2010-11-01 |
PMC |
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PMC7125928 |
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10.1016/j.physa.2010.07.014 |
qnn4v0k2 |
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Bifolchi_2013, Kenah_2007, Chowell_2017, Höhle_2007 |
Bifolchi_2013, Feng_2018, Sherborne_2015, Colizza_2007 |
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Dynamics of COVID‐19 epidemics: SEIR models underestimate peak infection rates and overestimate epidemic duration |
Alastair Grant |
2020 |
2020-04-06 |
BioRxiv |
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10.1101/2020.04.02.20050674 |
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Bifolchi_2013, Kenah_2007, Welch_2011, Li_C_2018 |
Kretzschmar_2020, Zimmer_2017, Sherborne_2015 |
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Anticipating the emergence of infectious diseases |
Brett, Tobias S.; Drake, John M.; Rohani, Pejman |
2017 |
2017-07-05 |
COMM-USE |
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PMC5550966 |
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10.1098/rsif.2017.0115 |
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Bocharov_2018, Bauer_2009, Chowell_2017 |
Dimitrov_2008, Chen_2019 |
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Stochastic Compartmental Modelling of SARS-CoV-2 with Approximate Bayesian Computation |
Vedant Chandra |
2020 |
2020-04-01 |
BioRxiv |
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10.1101/2020.03.29.20046862 |
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Bocharov_2018, Chowell_2017, Bifolchi_2013, Renna_2020 |
Smeets_2020, Safi_2011, Chernyshev_2020 |
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Integration of small world networks with multi-agent systems for simulating epidemic spatiotemporal transmission |
Liu, Tao; Li, Xia; Liu, XiaoPing |
2010 |
2010-05-06 |
PMC |
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PMC7089090 |
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10.1007/s11434-009-0623-3 |
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Bifolchi_2013, Bocharov_2018, Chowell_2017, Li_K_2011 |
Han_X_2014, Song_2015, Kan_J_2017, Denphedtnong_2013 |
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A Simulation Study Comparing Epidemic Dynamics on Exponential Random Graph and Edge-Triangle Configuration Type Contact Network Models |
Rolls, David A.; Wang, Peng; McBryde, Emma; Pattison, Philippa; Robins, Garry |
2015 |
2015-11-10 |
None |
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PMC4640514 |
26555701.0 |
10.1371/journal.pone.0142181 |
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Bifolchi_2013, Kenah_2007 |
Han_X_2014, Kenah_2007, Groendyke_2012 |
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Abdulrahman_2020 |
SimCOVID: An Open-Source Simulink-Based Program for Simulating the COVID-19 Epidemic |
Ismael Khorshed Abdulrahman |
2020 |
2020-04-17 |
BioRxiv |
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10.1101/2020.04.13.20063354 |
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Höhle_2007, Bifolchi_2013, Renna_2020, Bocharov_2018 |
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Parameter identification for a stochastic SEIRS epidemic model: case study influenza |
Mummert, Anna; Otunuga, Olusegun M. |
2019 |
2019-05-06 |
PMC |
N |
PMC7080032 |
31062075.0 |
10.1007/s00285-019-01374-z |
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0.385271 |
Bifolchi_2013, Kenah_2012, Höhle_2007, Lloyd_2009, Welch_2011 |
Safi_2011, Shi_P_2020, Park_2016, Denphedtnong_2013 |
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Mathematical Analysis of Copy Number Variation in a DNA Sample Using Digital PCR on a Nanofluidic Device |
Dube, Simant; Qin, Jian; Ramakrishnan, Ramesh |
2008 |
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COMM-USE |
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PMC2483940 |
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10.1371/journal.pone.0002876 |
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Parameter inference in small world network disease models with approximate Bayesian Computational methods |
Walker, David M.; Allingham, David; Lee, Heung Wing Joseph; Small, Michael |
2010 |
2010-02-01 |
PMC |
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PMC7126433 |
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10.1016/j.physa.2009.09.053 |
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Bocharov_2018, Chowell_2017, Bifolchi_2013, Höhle_2007 |
Bifolchi_2013, Chowell_2017, Lloyd_2009 |
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Towards Real Time Epidemiology: Data Assimilation, Modeling and Anomaly Detection of Health Surveillance Data Streams |
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PMC7122958 |
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10.1007/978-3-540-72608-1_8 |
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Bocharov_2018, Chowell_2017 |
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Analysis of household data on influenza epidemic with Bayesian hierarchical model |
Hsu, C.Y.; Yen, A.M.F.; Chen, L.S.; Chen, H.H. |
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PMC7094348 |
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10.1016/j.mbs.2014.11.006 |
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Bifolchi_2013, Chowell_2017, Höhle_2007, Lloyd_2009 |
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Extended models for nosocomial infection: parameter estimation and model selection |
Thomas, Alun; Khader, Karim; Redd, Andrew; Leecaster, Molly; Zhang, Yue; Jones, Makoto; Greene, Tom; Samore, Matthew |
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PMC |
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PMC6145396 |
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10.1093/imammb/dqx010 |
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Bocharov_2018, Bifolchi_2013 |
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Discovery of a missing disease spreader |
Maeno, Yoshiharu |
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PMC |
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PMC7126838 |
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10.1016/j.physa.2011.05.005 |
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Bifolchi_2013, Li_C_2018 |
Chen_2019, Safi_2011 |
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A Contribution to the Mathematical Modeling of the Corona/COVID-19 Pandemic |
Guenter K.F. Baerwolff |
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2020-04-06 |
BioRxiv |
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10.1101/2020.04.01.20050229 |
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Zheng_2020, Bocharov_2018 |
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Autocatalytic Model for Covid-19 Progression in a Country |
Anatoly Chernyshev |
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2020-04-07 |
BioRxiv |
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10.1101/2020.04.03.20052985 |
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Bifolchi_2013, Bocharov_2018, Chowell_2017, Lloyd_2009 |
Smeets_2020, Yong_2016, Shi_P_2020 |
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Global stability for an HIV-1 infection model including an eclipse stage of infected cells |
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10.1016/j.jmaa.2011.07.006 |
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Bocharov_2018, Simon_2010 |
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Stochastic dynamic model of SARS spreading |
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PMC7089366 |
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Modeling quarantine during epidemics by mass-testing with drones |
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2020-04-20 |
BioRxiv |
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10.1101/2020.04.15.20067025 |
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Bayesian Analysis of Severe Acute Respiratory Syndrome: The 2003 Hong Kong Epidemic |
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PMC7161832 |
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Höhle_2007, Griette_2020, Renna_2020, Lloyd_2009 |
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Stochastic persistence and stationary distribution in an SIS epidemic model with media coverage |
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PMC7125861 |
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10.1016/j.physa.2017.11.137 |
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Bifolchi_2013, Bocharov_2018, Kenah_2007, Renna_2020 |
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Modelling the spreading rate of controlled communicable epidemics through an entropy-based thermodynamic model |
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PMC7111546 |
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10.1007/s11433-013-5321-0 |
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A stochastic SIRS epidemic model with non-monotone incidence rate under regime-switching |
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PMC7127215 |
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Pekalp_2019, Bocharov_2018, Bifolchi_2013 |
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Dynamic models for Coronavirus Disease 2019 and data analysis |
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COMM-USE |
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PMC6110518 |
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10.1371/journal.pcbi.1006211 |
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Bocharov_2018, Bifolchi_2013, Chowell_2017, Li_K_2011 |
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Transmission Dynamics of 2019-nCoV in Malaysia |
Jane Labadin; Boon Hao Hong |
2020 |
2020-02-11 |
BioRxiv |
Y |
|
|
10.1101/2020.02.07.20021188 |
7axgotby |
0.313889 |
Bifolchi_2013, Simon_2010, Bocharov_2018, Renna_2020 |
Shi_P_2020, Yong_2016, Biswas_2020 |
56 |
Yang_2020 |
Rational evaluation of various epidemic models based on the COVID-19 data of China |
Wuyue Yang; Dongyan Zhang; Liangrong Peng; Changjing Zhuge; Liu Hong |
2020 |
2020-03-16 |
BioRxiv |
Y |
|
|
10.1101/2020.03.12.20034595 |
qejmwvst |
0.304996 |
Bocharov_2018, Chowell_2017, Lloyd_2009, Bifolchi_2013 |
Peng_2020, Ghaffarzadegan_2020, Distante_2020, Caccavo_2020 |
57 |
Hackl_2020 |
Modeling the COVID-19 pandemic - parameter identification and reliability of predictions |
Klaus Hackl |
2020 |
2020-04-11 |
BioRxiv |
Y |
|
|
10.1101/2020.04.07.20056937 |
osez25uj |
0.304831 |
Zheng_2020, Bocharov_2018 |
Smeets_2020, Zareie_2020, Peng_2020, Ghaffarzadegan_2020 |
58 |
Liu_C_2020 |
D(2)EA: Depict the Epidemic Picture of COVID-19 |
Liu, Chenzhengyi; Zhao, Jingwei; Liu, Guohang; Gao, Yuanning; Gao, Xiaofeng |
2020 |
2020-04-07 |
PMC |
Y |
PMC7137902 |
|
10.1007/s12204-020-2170-7 |
63hcyb9e |
0.300035 |
Bocharov_2018, Chowell_2017, Renna_2020 |
Peng_2020, Li_S_2020 |