Network-based Transmission Models
Network-Based Transmission Models is a computational epidemiological framework that represents disease spread through structured interactions among individuals, where the topology of contact networks explicitly determines the pathways and probabilities of transmission.
213
Publications
19.7K
Citations
790
Authors
367
Institutions
Publications per year
2017–2026
81
213
Mobility network models of COVID-19 explain inequities and inform reopening
Serina Chang, Emma Pierson, Pang Wei Koh et al. · Nature · 2020 · 1.6K citations · Full text
Veterinary Medicine, Computer Science, Infectious Diseases +16
Networks, Dynamics, and the Small‐World Phenomenon
Duncan J. Watts · American Journal of Sociology · 1999 · 1.5K citations
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367

University of Warwick
Coventry, United Kingdom
11 h-index
35 publications
5.7K citations
University of Washington
Seattle, United States
8 h-index
12 publications
1.4K citations
Harvard University
Cambridge, United States
8 h-index
12 publications
1.9K citations

Santa Fe Institute
Santa Fe, United States
8 h-index
8 publications
2.1K citations
Emory University
Atlanta, United States
8 h-index
17 publications
848 citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
11 publications
1.4K citations
The University of Texas at Austin
Austin, United States
7 h-index
13 publications
783 citations
Yale University
New Haven, United States
7 h-index
16 publications
1.1K citations
1–8 of 367
14 publications · 712 citations
13
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11 publications · 482 citations
11
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9 publications · 951 citations
9
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PNAS · 8 publications · 1.2K citations
8
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6 publications · 663 citations
6
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