A comprehensive probabilistic analysis of approximate SIR‐type epidemiological models via full randomized discrete‐time Markov chain formulation with applications
Work
Year: 2020
Type: article
Cites: 25
Cited by: 24
Related to: 10
FWCI: 0.614
Citation percentile (by year/subfield): 99.98
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Sustainable Development Goal Good health and well-being
Open Access status: closed
Grant IDS MTM2017-89664-P, APOSTD/2019/128