Transmission Network Inference
Transmission Network Inference is a computational and statistical methodology within genomic and phylogenetic epidemiology that reconstructs the pathways of infectious disease spread among individuals or populations by integrating pathogen genetic sequences with epidemiological data to infer the most probable transmission links.
47
Publications
2.9K
Citations
422
Authors
147
Institutions
Publications per year
2017–2026
24
47
1–5 of 47
422
6
h-index
University of California San Diego, United States
4 publications · 533 citations
4
h-index
4
h-index
4
h-index
3
h-index
1–5 of 422
147
University of California San Diego
San Diego, United States
9 h-index
33 publications
3.7K citations

University of British Columbia
Vancouver, Canada
4 h-index
7 publications
408 citations

Imperial College London
London, United Kingdom
4 h-index
10 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
4 h-index
12 publications
702 citations
University of Washington
Seattle, United States
4 h-index
5 publications
404 citations
University College London
London, United Kingdom
3 h-index
9 publications
549 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
11 publications
494 citations

The University of Melbourne
Melbourne, Australia
3 h-index
6 publications
103 citations
1–8 of 147
5 publications · 280 citations
5
h-index
3 publications · 82 citations
3
h-index
JID · 3 publications · 377 citations
3
h-index
2 publications · 91 citations
2
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2 publications · 223 citations
2
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1–5