Now showing items 1-6 of 6

    • Feedback Between Behavioral Adaptations and Disease Dynamics 

      Chen, Jiangzhuo; Marathe, Achla; Marathe, Madhav (Springer Nature, 2018-08-20)
      We study the feedback processes between individual behavior, disease prevalence, interventions and social networks during an influenza pandemic when a limited stockpile of antivirals is shared between the private and the ...
    • Forecasting the Flu: Designing Social Network Sensors for Epidemics 

      Shao, Huijuan; Hossain, K.S.M. Tozammel; Wu, Hao; Khan, Maleq; Vullikanti, Anil; Prakash, B. Aditya; Marathe, Madhav; Ramakrishnan, Naren (Virginia Tech, 2016-03-08)
      Early detection and modeling of a contagious epidemic can provide important guidance about quelling the contagion, controlling its spread, or the effective design of countermeasures. A topic of recent interest has been to ...
    • A framework for evaluating epidemic forecasts 

      Tabataba, Farzaneh Sadat; Chakraborty, Prithwish; Ramakrishnan, Naren; Venkatramanan, Srinivasan; Chen, Jiangzhuo; Lewis, Bryan L.; Marathe, Madhav (2017-05-15)
      Background Over the past few decades, numerous forecasting methods have been proposed in the field of epidemic forecasting. Such methods can be classified into different categories such as deterministic vs. probabilistic, ...
    • Opinion: Mathematical models: A key tool for outbreak response 

      Lofgren, Eric T.; Halloran, M. Elizabeth; Rivers, Caitlin; Drake, John M.; Porco, Travis C.; Lewis, Bryan L.; Yang, Wan; Vespignani, Alessandro; Shaman, Jeffrey; Eisenberg, Joseph N.S.; Eisenberg, Marisa C.; Marathe, Madhav; Scarpino, Samuel V.; Alexander, Kathleen A.; Meza, Rafael; Ferrari, Matthew J.; Hyman, James M.; Meyers, Lauren A.; Eubank, Stephen (NAS, 2015-01-13)
      The 2014 outbreak of Ebola in West Africa is unprecedented in its size and geographic range, and demands swift, effective action from the international community. Understanding the dynamics and spread of Ebola is critical ...
    • Using data-driven agent-based models for forecasting emerging infectious diseases 

      Venkatramanan, Srinivasan; Lewis, Bryan L.; Chen, Jiangzhuo; Higdon, Dave; Vullikanti, Anil; Marathe, Madhav (Elsevier, 2017-02-22)
      Producing timely, well-informed and reliable forecasts for an ongoing epidemic of an emerging infectious disease is a huge challenge. Epidemiologists and policy makers have to deal with poor data quality, limited understanding ...
    • What to know before forecasting the flu 

      Chakraborty, Prithwish; Lewis, Bryan L.; Eubank, Stephen; Brownstein, John S.; Marathe, Madhav; Ramakrishnan, Naren (PLOS, 2018-10-12)
      Accurate and timely influenza (flu) forecasting has gained significant traction in recent times. If done well, such forecasting can aid in deploying effective public health measures. Unlike other statistical or machine ...