<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0430-5027</journal-id>
<journal-title><![CDATA[Finisterra - Revista Portuguesa de Geografia]]></journal-title>
<abbrev-journal-title><![CDATA[Finisterra]]></abbrev-journal-title>
<issn>0430-5027</issn>
<publisher>
<publisher-name><![CDATA[Centro de Estudos Geográficos]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0430-50272020000300019</article-id>
<article-id pub-id-type="doi">10.18055/finis20383</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[O mosaico territorial do risco ao contágio e à mortalidade por COVID-19 em Portugal continental]]></article-title>
<article-title xml:lang="en"><![CDATA[The territorial mosaic of contagion and mortality risk by COVID-19 in mainland Portugal]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marques]]></surname>
<given-names><![CDATA[Teresa Sá]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[Hélder]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Honório]]></surname>
<given-names><![CDATA[Fernando]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ferreira]]></surname>
<given-names><![CDATA[Márcio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ribeiro]]></surname>
<given-names><![CDATA[Diogo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Torres]]></surname>
<given-names><![CDATA[Marcelo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade do Porto Faculdade de Letras Centro de Estudos de Geografia e Ordenamento do Território - Porto]]></institution>
<addr-line><![CDATA[Porto ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade do Porto Faculdade de Letras ]]></institution>
<addr-line><![CDATA[Porto ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2020</year>
</pub-date>
<numero>115</numero>
<fpage>19</fpage>
<lpage>26</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S0430-50272020000300019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S0430-50272020000300019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S0430-50272020000300019&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A dimensão espacial dos riscos associados à Covid-19 é a motivação para se explorarem as estruturas socio-territoriais que influenciam a vulnerabilidade face ao contágio e à mortalidade, respondendo a uma lacuna de investigação identificada pela literatura. Assim, esta pesquisa visa identificar o mosaico territorial de riscos face ao contágio e à mortalidade por Covid-19, retratando os diferentes perfis de vulnerabilidade que emergem no território de Portugal Continental. A variabilidade, à escala local, dos níveis de vulnerabilidade sustenta a opção por uma análise à escala do concelho. Pretende-se contribuir ainda para informar as políticas dirigidas à prevenção e mitigação dos riscos de contágio e morte, atendendo à espacialidade das situações identificadas como potenciadoras destes riscos. Assim, após a análise dos perfis territoriais de risco ao contágio e à mortalidade, é elaborado um cenário que identifica três perfis territoriais de vulnerabilidades que carecem de políticas diferenciadas face aos seus riscos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The spatial dimension of risks associated with Covid-19 has triggered the need to explore the socio-territorial structures that influence contagion and mortality vulnerability, in response to research shortcomings identified by the literature. This research thus seeks to identify the territorial mosaic of contagion and mortality risks by Covid-19, describing the different vulnerability profiles that arise across Mainland Portugal. The variability of vulnerability, at the local level, supports the decision to analyse them at the municipal scale. This also contributes to inform policies aimed at preventing and mitigating the risks of contagion and death, given the areas in which the situations identified as potentially enhancing these risks occur. As such, following the analysis of territorial contagion and mortality risk profiles, we develop a scenario that identifies three territorial vulnerability profiles that, in view of the risks, need differentiated policies.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Covid-19]]></kwd>
<kwd lng="pt"><![CDATA[território]]></kwd>
<kwd lng="pt"><![CDATA[risco de contágio]]></kwd>
<kwd lng="pt"><![CDATA[risco de mortalidade]]></kwd>
<kwd lng="pt"><![CDATA[cenários de vulnerabilidade.]]></kwd>
<kwd lng="en"><![CDATA[Covid-19]]></kwd>
<kwd lng="en"><![CDATA[territory]]></kwd>
<kwd lng="en"><![CDATA[contagion risk]]></kwd>
<kwd lng="en"><![CDATA[mortality risk]]></kwd>
<kwd lng="en"><![CDATA[vulnerability scenarios.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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</back>
</article>
