Surveillance-based Forecasting
Surveillance-Based Forecasting is a disease forecasting approach that systematically leverages data from ongoing public health monitoring systems to predict the trajectory and burden of infectious diseases, distinguished by its reliance on real-time or near-real-time observational data streams rather than experimental or model-simulated inputs.
81
Publications
5K
Citations
360
Authors
188
Institutions
Publications per year
2017–2026
55
Parents
81
Influenza Forecasting with Google Flu Trends
Andrea Dugas, Mehdi Jalalpour, Yulia R. Gel et al. · PLoS ONE · 2013 · 360 citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +17
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Harvard University
Cambridge, United States
5 h-index
13 publications
2.2K citations

Boston Children's Hospital
Boston, United States
5 h-index
13 publications
1.7K citations
Virginia Tech
Blacksburg, United States
4 h-index
16 publications
1.1K citations

Johns Hopkins University
Baltimore, United States
4 h-index
17 publications
3.5K citations
Columbia University
New York, United States
4 h-index
12 publications
1.1K citations
Los Alamos National Laboratory
Los Alamos, United States
3 h-index
14 publications
1.3K citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
136 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
3 publications
143 citations
1–8 of 188
7 publications · 759 citations
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6 publications · 862 citations
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4 publications · 162 citations
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3 publications · 100 citations
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Repository · 3 publications · 491 citations
3
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