<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T04:12:11Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2072/410638" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2072/410638</identifier><datestamp>2026-03-13T03:22:20Z</datestamp><setSpec>com_2072_98</setSpec><setSpec>col_2072_378192</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Spectral properties of the connectivity matrix and the SIS-epidemic threshold for mid-size metapopulations</dc:title>
   <dc:creator>Juher, David</dc:creator>
   <dc:creator>Mañosa Fernández, Víctor</dc:creator>
   <dc:subject>Complex networks</dc:subject>
   <dc:subject>SIS epidemic</dc:subject>
   <dcterms:abstract>We consider the spread of an infectious disease on a heterogeneous metapopulation defined by any (correlated or uncorrelated) network. The infection evolves under transmission, recovering and migration mechanisms. We study some spectral properties of a connectivity matrix arising from the continuous-time equations of the model. In particular we show that the classical sufficient condition of instability for the disease-free equilibrium, well known for the particular case of uncorrelated networks, works also for the general case. We give also an alternative condition that yields a more accurate estimation of the epidemic threshold for correlated (either assortative or dissortative) networks.</dcterms:abstract>
   <dcterms:issued>2014</dcterms:issued>
   <dc:type>Article</dc:type>
   <dc:relation>Ministerio de Ciencia e Innovación MTM2011-27739-C04-03</dc:relation>
   <dc:relation>Ministerio de Ciencia e Innovación DPI2011-25822</dc:relation>
   <dc:relation>Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-345</dc:relation>
   <dc:relation>Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-1228</dc:relation>
   <dc:relation>Mathematical Modelling of Natural Phenomena ; Vol. 9 Núm. 2 (2014), p. 108-120</dc:relation>
   <dc:rights>open access</dc:rights>
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   <dc:rights>https://rightsstatements.org/vocab/InC/1.0/</dc:rights>
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