Disease Forecasting Models
Disease Forecasting Models is a computational framework that belongs to the class of predictive modeling techniques in public health informatics, distinguished by its specific application to projecting the future incidence, spread, or burden of diseases based on historical, epidemiological, and environmental data.
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Kyle J Foreman, Neal Marquez, Andrew J. Dolgert et al. · The Lancet · 2018 · 3K citations · Full text
Hazim Ababneh, Yohannes Abate, Cristiana Abbafati et al. · The Lancet · 2024 · 947 citations · Full text
Public Health, Health Sciences, Population Health Sciences +17
Using the ADAP Learning Algorithm to Forecast the Onset of Diabetes Mellitus
Jack W. Smith, James E. Everhart, Will Dickson et al. · PubMed Central · 1988 · 748 citations · Full text
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London School of Hygiene & Tropical Medicine
London, United Kingdom
18 h-index
58 publications
3.6K citations
Harvard University
Cambridge, United States
18 h-index
31 publications
2.8K citations
Los Alamos National Laboratory
Los Alamos, United States
16 h-index
59 publications
5.3K citations

Johns Hopkins University
Baltimore, United States
16 h-index
110 publications
9.6K citations

Centers for Disease Control and Prevention
Atlanta, United States
16 h-index
51 publications
5.5K citations
University of California, Los Angeles
Los Angeles, United States
12 h-index
34 publications
8.4K citations
Columbia University
New York, United States
12 h-index
27 publications
3.4K citations

Imperial College London
London, United Kingdom
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18 publications
1.1K citations
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Repository · 36 publications · 1.2K citations
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