Browsing by Author "Nsoesie, Elaine O."

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    • Modeling to Predict Cases of Hantavirus Pulmonary Syndrome in Chile 

      Nsoesie, Elaine O.; Mekaru, Sumiko R.; Ramakrishnan, Naren; Marathe, Madhav V.; Brownstein, John S. (Public Library of Science, 2014)
      Background: Hantavirus pulmonary syndrome (HPS) is a life threatening disease transmitted by the rodent Oligoryzomys longicaudatus in Chile. Hantavirus outbreaks are typically small and geographically confined. Several ...

    • Monitoring Disease Trends using Hospital Traffic Data from High Resolution Satellite Imagery: A Feasibility Study 

      Nsoesie, Elaine O.; Butler, Patrick; Ramakrishnan, Naren; Mekaru, Sumiko R.; Brownstein, John S. (Nature Publishing Group, 2015)
      Challenges with alternative data sources for disease surveillance include differentiating the signal from the noise, and obtaining information from data constrained settings. For the latter, events such as increases in ...

    • Monitoring Influenza Epidemics in China with Search Query from Baidu 

      Yuan, Qingyu; Nsoesie, Elaine O.; Lv, Benfu; Peng, Geng; Chunara, Rumi; Brownstein, John S. (Public Library of Science, 2013)
      Several approaches have been proposed for near real-time detection and prediction of the spread of influenza. These include search query data for influenza-related terms, which has been explored as a tool for augmenting ...

    • A systematic review of studies on forecasting the dynamics of influenza outbreaks 

      Nsoesie, Elaine O; Brownstein, John S; Ramakrishnan, Naren; Marathe, Madhav V (Blackwell Publishing Ltd, 2013)
      Forecasting the dynamics of influenza outbreaks could be useful for decision-making regarding the allocation of public health resources. Reliable forecasts could also aid in the selection and implementation of interventions ...

    • Who’s Not Coming to Dinner? Evaluating Trends in Online Restaurant Reservations for Outbreak Surveillance 

      Nsoesie, Elaine O.; Buckeridge, David L.; Brownstein, John S. (University of Illinois at Chicago Library, 2013)
      Objective: The objective of this study is to evaluate whether trends in online restaurant table reservations can be used as an early indicator for a disease outbreak. Introduction: Epidemiologists, public health agencies ...