Global Challenge Governance: Time for Big Modelling?
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Georgios Theodoropoulos | Ibad Kureshi | Adam Ghandar | Samuel Boland | Tibor Toth | G. Theodoropoulos | Ibad Kureshi | Adam Ghandar | S. Boland | Tibor Toth
[1] Jun Yang,et al. Use of mobile phones in an emergency reporting system for infectious disease surveillance after the Sichuan earthquake in China. , 2009, Bulletin of the World Health Organization.
[2] Georgios K. Theodoropoulos,et al. Distributing RePast agent‐based simulations with HLA , 2008, Concurr. Comput. Pract. Exp..
[3] Evan L. Ray,et al. Prediction of infectious disease epidemics via weighted density ensembles , 2017, PLoS Comput. Biol..
[4] Ian M. Hall,et al. Modelling the global spread of diseases: A review of current practice and capability , 2018, Epidemics.
[5] Beverly Hirtle. Beverly Hirtle: The past and future of supervisory stress testing design , 2018 .
[6] Gerardo Chowell,et al. Is West Africa Approaching a Catastrophic Phase or is the 2014 Ebola Epidemic Slowing Down? Different Models Yield Different Answers for Liberia , 2014, PLoS currents.
[7] Volker Sorge,et al. Data Driven Simulation to Support Model Building in the Social Sciences , 2011 .
[8] Nicolas Rost,et al. Will it happen again? On the possibility of forecasting the risk of genocide , 2013 .
[9] John D. Kelleher,et al. A Comparison of Agent-Based Models and Equation Based Models for Infectious Disease Epidemiology , 2018, AICS.
[10] Claudia Kohl,et al. Temporal and spatial analysis of the 2014–2015 Ebola virus outbreak in West Africa , 2015, Nature.
[11] F. Henretig,et al. Medical consequences of biological warfare: the Ten Commandments of management. , 2001, Military medicine.
[12] Gerald Schneider,et al. Forecasting in International Relations , 2011 .
[13] Andrew P. Morse,et al. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles , 2006, Nature.
[14] J. Pavlin,et al. Discernment between deliberate and natural infectious disease outbreaks , 2006, Epidemiology and Infection.
[15] Alicia Karspeck,et al. Real-Time Influenza Forecasts during the 2012–2013 Season , 2013, Nature Communications.
[16] A. Cook,et al. Real-Time Epidemic Monitoring and Forecasting of H1N1-2009 Using Influenza-Like Illness from General Practice and Family Doctor Clinics in Singapore , 2010, PloS one.
[17] Niel Hens,et al. Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015) , 2017, BMC Infectious Diseases.
[18] Pierre Lemarinier,et al. Agent Based Modelling and Simulation tools: A review of the state-of-art software , 2017, Comput. Sci. Rev..
[19] John Brennan,et al. Exploring the Evolution of Big Data Technologies , 2017 .
[20] Georgios Theodoropoulos,et al. Intelligent Management of Data Driven Simulations to Support Model Building in the Social Sciences , 2006, International Conference on Computational Science.
[21] Robin N. Thompson,et al. Rigorous surveillance is necessary for high confidence in end-of-outbreak declarations for Ebola and other infectious diseases , 2018 .
[22] A. Chughtai,et al. A systematic review of early modelling studies of Ebola virus disease in West Africa , 2017, Epidemiology and Infection.
[23] S. Moore,et al. Improvement of Disease Prediction and Modeling through the Use of Meteorological Ensembles: Human Plague in Uganda , 2012, PloS one.
[24] E. G. Nepomuceno,et al. exclusion criteria : 1026 Selected studies for evaluation : 106 Number of discarding duplicates : 18 Final Sample : 88 , 2018 .
[25] Frederica Darema,et al. Dynamic Data Driven Applications Systems: New Capabilities for Application Simulations and Measurements , 2005, International Conference on Computational Science.
[26] Thaweepat Buranathiti,et al. Model validation via uncertainty propagation and data transformations , 2004 .
[27] A. Fauci,et al. Emerging Infectious Diseases: Threats to Human Health and Global Stability , 2013, PLoS pathogens.
[28] Elmar Ahle,et al. FMI for physical models on automotive embedded targets , 2015 .
[29] Michael Lees,et al. PDES-MAS: Distributed Simulation of Multi-Agent Systems , 2013, ICCS.
[30] Bowen Zheng,et al. A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities , 2018, 2018 4th International Conference on Universal Village (UV).
[31] C. Viboud,et al. Mathematical models to characterize early epidemic growth: A review. , 2016, Physics of life reviews.
[32] A. Labrique,et al. Geographic Variation in Access to Dog-Bite Care in Pakistan and Risk of Dog-Bite Exposure in Karachi: Prospective Surveillance Using a Low-Cost Mobile Phone System , 2013, PLoS neglected tropical diseases.
[33] Madhav V. Marathe,et al. EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems , 2009, ICS.
[34] Rami Bahsoon,et al. Software Architecture for Big Data and the Cloud , 2017 .
[35] Rumi Chunara,et al. Why We Need Crowdsourced Data in Infectious Disease Surveillance , 2013, Current Infectious Disease Reports.
[36] Weisi Guo,et al. Retool AI to forecast and limit wars , 2018, Nature.
[37] B T Grenfell,et al. Spatial heterogeneity, nonlinear dynamics and chaos in infectious diseases , 1995, Statistical methods in medical research.
[38] Adam Kucharski,et al. Temporal Changes in Ebola Transmission in Sierra Leone and Implications for Control Requirements: a Real-time Modelling Study , 2015, PLoS currents.
[39] O. Olu,et al. Epidemiological Data Management during an Outbreak of Ebola Virus Disease: Key Issues and Observations from Sierra Leone , 2016, Front. Public Health.
[40] A. Patil,et al. Analysis of uncertainty propagation through model parameters and structure. , 2010, Water science and technology : a journal of the International Association on Water Pollution Research.
[41] Colin Robertson,et al. Mobile Phone–based Infectious Disease Surveillance System, Sri Lanka , 2010, Emerging infectious diseases.
[42] Michael Lees,et al. Distributed simulation of agent-based systems with HLA , 2007, TOMC.