Harvard Catalyst Profiles

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John Samuel Brownstein, Ph.D.

Concepts

This page shows the publications John Brownstein has written about Forecasting.
Connection Strength

0.571
  1. Influenza forecasting for French regions combining EHR, web and climatic data sources with a machine learning ensemble approach. PLoS One. 2021; 16(5):e0250890.
    View in: PubMed
    Score: 0.116
  2. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275.
    View in: PubMed
    Score: 0.102
  3. Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data. PLoS Negl Trop Dis. 2017 01; 11(1):e0005295.
    View in: PubMed
    Score: 0.086
  4. A systematic review of studies on forecasting the dynamics of influenza outbreaks. Influenza Other Respir Viruses. 2014 May; 8(3):309-16.
    View in: PubMed
    Score: 0.069
  5. Forecasting high-priority infectious disease surveillance regions: a socioeconomic model. Clin Infect Dis. 2013 Feb; 56(4):517-24.
    View in: PubMed
    Score: 0.064
  6. Age-related trends in the timeliness and prediction of medical visits, hospitalizations and deaths due to pneumonia and influenza, British Columbia, Canada, 1998-2004. Vaccine. 2008 Mar 04; 26(10):1397-403.
    View in: PubMed
    Score: 0.046
  7. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834.
    View in: PubMed
    Score: 0.028
  8. What to know before forecasting the flu. PLoS Comput Biol. 2018 10; 14(10):e1005964.
    View in: PubMed
    Score: 0.024
  9. Using electronic health records and Internet search information for accurate influenza forecasting. BMC Infect Dis. 2017 05 08; 17(1):332.
    View in: PubMed
    Score: 0.022
  10. Application of change point analysis to daily influenza-like illness emergency department visits. J Am Med Inform Assoc. 2012 Nov-Dec; 19(6):1075-81.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.