<?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>S0430-50272020000300037</article-id>
<article-id pub-id-type="doi">10.18055/finis20318</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[The importance of spatial analysis of COVID-19 pandemic for health geography: challenges and perspectives]]></article-title>
<article-title xml:lang="pt"><![CDATA[Importância da análise espacial da pandemia de COVID-19 para a geografia da saúde: desafios e perspetivas]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ribeiro]]></surname>
<given-names><![CDATA[Ana Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[Cláudia Jardim]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade do Porto Instituto de Saúde Pública (EPIUnit) Unidade de Investigação em Epidemiologia]]></institution>
<addr-line><![CDATA[Porto ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade do Porto Faculdade de Medicina Departamento de Ciências da Saúde Pública e Forenses e Educação Médica]]></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>37</fpage>
<lpage>42</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S0430-50272020000300037&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S0430-50272020000300037&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S0430-50272020000300037&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The COVID-19 pandemic brought an unparalleled opportunity for spatial analysis. More than ever people are creating maps to document the space-time diffusion of the COVID-19 pandemic. However, despite recent technical and computational improvements, spatial analysis of epidemiological surveillance data is still affected by a number of challenges, especially when dealing with near-real-time data of an emergent disease. This paper summarizes the key challenges for the spatial analysis of the COVID-19 pandemic and possible solutions.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A pandemia de COVID-19 trouxe uma oportunidade incomparável para a utilização da análise espacial. Mais do que nunca, as pessoas estão a criar mapas para documentar a difusão espaço-temporal da pandemia de COVID-19. Contudo, apesar dos progressos técnicos e computacionais, a análise espacial de dados de vigilância epidemiológica continua a ser afetada por vários desafios, principalmente quando se trata de lidar com dados em quase tempo real de uma doença emergente. Este artigo resume os principais desafios para a análise espacial da pandemia de COVID-19 e possíveis soluções.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Spatial models]]></kwd>
<kwd lng="en"><![CDATA[SARS-CoV-2]]></kwd>
<kwd lng="en"><![CDATA[public health]]></kwd>
<kwd lng="en"><![CDATA[health geography]]></kwd>
<kwd lng="pt"><![CDATA[Modelação espacial]]></kwd>
<kwd lng="pt"><![CDATA[SARS-CoV-2]]></kwd>
<kwd lng="pt"><![CDATA[saúde pública]]></kwd>
<kwd lng="pt"><![CDATA[geografia da saúde]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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