A threshold theorem for the general stochastic epidemic via a discrete approach

DOI10.1016/0167-7152(92)90068-GzbMath0754.92020OpenAlexW1978597969MaRDI QIDQ1198993

Gesine D. Reinert

Publication date: 16 January 1993

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0167-7152(92)90068-g

zbMATH Keywords

many infectivesnew threshold theoremtotal size of the general stochastic epidemic

Mathematics Subject Classification ID

Epidemiology (92D30) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20)

Cites Work

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• A note on the total size distribution of epidemic models
• A unified approach to the distribution of total size and total area under the trajectory of infectives in epidemic models
• Simpler proofs of two threshold theorems for a general stochastic epidemic
• REVIEWS

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