Fast approximate computation of cervical cancer screening outcomes by a deterministic multiple-type HPV progression model

DOI10.1016/j.mbs.2019.01.006zbMath1409.92126OpenAlexW2910636199WikidataQ64132224 ScholiaQ64132224MaRDI QIDQ669198

Simopekka Vänskä, Matti Lehtinen, Kari Auranen, Johannes Berkhof, Johannes A. Bogaards

Publication date: 20 March 2019

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

Full work available at URL: https://doi.org/10.1016/j.mbs.2019.01.006

zbMATH Keywords

cervical cancerscreeninghuman papillomavirusdeterministic modeldisease progressionmultiple types

Mathematics Subject Classification ID

Medical applications (general) (92C50)

Cites Work

• Improved long-period generators based on linear recurrences modulo 2
• A multi-type HPV transmission model
• Capturing the dynamics of pathogens with many strains
• Consistent micro, macro and state-based population modelling
• Semiparametric mixture models for multivariate count data, with application

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