{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T13:48:07Z","timestamp":1740491287131,"version":"3.38.0"},"reference-count":22,"publisher":"Cambridge University Press (CUP)","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Appl. Probab."],"published-print":{"date-parts":[[2014,9]]},"abstract":"<jats:p>In this work we introduce a stochastic model for the spread of a virus in a cell population where the virus has two ways of spreading: either by allowing its host cell to live and duplicate, or by multiplying in large numbers within the host cell, causing the host cell to burst and thereby let the virus enter new uninfected cells. The model is a kind of interacting Markov branching process. We focus in particular on the probability that the virus population survives and how this depends on a certain parameter \u03bb which quantifies the \u2018aggressiveness\u2019 of the virus. Our main goal is to determine the optimal balance between aggressive growth and long-term success. Our analysis shows that the optimal strategy of the virus (in terms of survival) is obtained when the virus has no effect on the host cell's life cycle, corresponding to \u03bb = 0. This is in agreement with experimental data about real viruses.<\/jats:p>","DOI":"10.1017\/s0021900200011542","type":"journal-article","created":{"date-parts":[[2016,3,29]],"date-time":"2016-03-29T10:50:00Z","timestamp":1459248600000},"page":"599-612","source":"Crossref","is-referenced-by-count":0,"title":["A Stochastic Model for Virus Growth in a Cell Population"],"prefix":"10.1017","volume":"51","author":[{"given":"J. E.","family":"Bj\u00f6rnberg","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"T.","family":"Britton","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E. I.","family":"Broman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"E.","family":"Natan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2016,2,19]]},"reference":[{"volume-title":"Modelling Biological Populations in Space and Time","year":"1991","key":"S0021900200011542_ref18"},{"key":"S0021900200011542_ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0006-3495(04)74085-0"},{"key":"S0021900200011542_ref16","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.genet.39.073003.113656"},{"volume-title":"Virus Dynamics. 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