Case Count Forecasting
Case Count Forecasting is a methodological framework within epidemic forecasting that specifically involves the prediction of the number of new disease cases over a defined future time horizon using statistical or computational models applied to temporal, spatial, or epidemiological data.
72
Publications
3.7K
Citations
264
Authors
142
Institutions
Publications per year
2017–2026
60
Parents
72
Sarah F. McGough, John S. Brownstein, Jared B. Hawkins et al. · PLoS neglected tropical diseases · 2017 · 201 citations · Full text
Public Health, Infectious Disease Control, Infectious Diseases +17
Real-time Epidemic Forecasting: Challenges and Opportunities
Angel N. Desai, Moritz U. G. Kraemer, Sangeeta Bhatia et al. · Health Security · 2019 · 161 citations · Full text
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142

Vanderbilt University
Nashville, United States
8 h-index
10 publications
617 citations
Institut de Mathématiques de Bordeaux
Talence, France
7 h-index
8 publications
678 citations
Université de Bordeaux
Bordeaux, France
7 h-index
8 publications
678 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
7 publications
663 citations

Beijing Normal University
Beijing, China
5 h-index
7 publications
660 citations
Harvard University
Cambridge, United States
4 h-index
8 publications
1K citations

Boston Children's Hospital
Boston, United States
4 h-index
11 publications
1.4K citations
University of California, Los Angeles
Los Angeles, United States
3 h-index
20 publications
1.1K citations
1–8 of 142
Repository · 7 publications · 232 citations
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5 publications · 130 citations
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4 publications · 743 citations
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Repository · 2 publications · 25 citations
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Repository · 2 publications · 33 citations
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