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      <dc:title>The maximum number of infected individuals in SIS epidemic models: Computational techniques and quasi-stationary distributions</dc:title>
      <dc:creator>Artalejo Rodríguez, Jesús Manuel</dc:creator>
      <dc:creator>Economou, A.</dc:creator>
      <dc:creator>López Herrero, María Jesús</dc:creator>
      <dc:description>We study the maximumn umber of infected individuals observed during an epidemic for a Susceptible–Infected–Susceptible (SIS) model which corresponds to a birth–death process with an absorbing state. We develop computational schemes for the corresponding distributions in a transient regime and till absorption. Moreover, we study the distribution of the current number of infectedindividuals given that the maximum number during the epidemic has not exceeded a given threshold. In this sense, some quasi-stationary distributions of a related process are also discussed.</dc:description>
      <dc:date>2023-06-15T07:49:03Z</dc:date>
      <dc:date>2023-06-15T07:49:03Z</dc:date>
      <dc:date>2010-03-15</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>0377-0427</dc:identifier>
      <dc:identifier>10.1016/j.cam.2009.11.003</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.14352/149.1</dc:identifier>
      <dc:identifier>http://www.sciencedirect.com/science/article/pii/S0377042709007341</dc:identifier>
      <dc:identifier>http://www.sciencedirect.com/</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:relation>MTM 2008-01121</dc:relation>
      <dc:rights>restricted access</dc:rights>
      <dc:publisher>Elsevier Science Bv</dc:publisher>
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