Stochastic Spread Models
Stochastic Spread Models is a type of mathematical framework used in spread dynamics that incorporates probabilistic transitions and randomness in the transmission process to capture uncertainty and variability in the dissemination of entities such as diseases, information, or behaviors across a population.
69
Publications
3.4K
Citations
198
Authors
127
Institutions
Publications per year
2017–2026
30
Parents
69
Bayesian Stochastic Mortality Modelling for Two Populations
Andrew J. G. Cairns, David Blake, Kevin Dowd et al. · Astin Bulletin · 2011 · 240 citations
Public Health, Biostatistics, Population Health Sciences +17
1–5 of 69
198
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 198
127

University of Nottingham
Nottingham, United Kingdom
3 h-index
6 publications
198 citations

China Medical University
Taichung, Taiwan
3 h-index
3 publications
138 citations
China Medical University Hospital
Taichung, Taiwan
3 h-index
3 publications
138 citations

University of Minnesota
Minneapolis, United States
3 h-index
6 publications
554 citations
Michigan State University
East Lansing, United States
2 h-index
3 publications
85 citations
University of Oxford
Oxford, United Kingdom
2 h-index
2 publications
220 citations

Queensland University of Technology
Brisbane, Australia
2 h-index
8 publications
400 citations

University of Leeds
Leeds, United Kingdom
2 h-index
2 publications
34 citations
1–8 of 127
3 publications · 106 citations
3
h-index
JAP · 3 publications · 91 citations
3
h-index
2 publications · 44 citations
2
h-index
2 publications · 31 citations
2
h-index
2 publications · 33 citations
2
h-index
1–5