Modelling local and global effects on the risk of contracting tuberculosis using stochastic Markov-chain models

DOI10.1016/J.MBS.2009.01.002zbMath1160.92035OpenAlexW1976160450WikidataQ50187939 ScholiaQ50187939MaRDI QIDQ1015262

J. Martínez

Publication date: 7 May 2009

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2009.01.002

zbMATH Keywords

community randomised trialMarkov-chain modeltime/spatial clusteringtuberculosis transmission

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) 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)

Related Items (1)

The dynamics of a stochastic vaccinated tuberculosis model with treatment

Cites Work

• Tuberculosis models with fast and slow dynamics: The role of close and casual contacts
• On the Strong Law of Large Numbers and Related Results for Quasi-Stationary Sequences
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