<?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>2176-6223</journal-id>
<journal-title><![CDATA[Revista Pan-Amazônica de Saúde]]></journal-title>
<abbrev-journal-title><![CDATA[Rev Pan-Amaz Saude]]></abbrev-journal-title>
<issn>2176-6223</issn>
<publisher>
<publisher-name><![CDATA[Instituto Evandro Chagas. Secretaria de Vigilância em Saúde e Ambiente. Ministério da Saúde]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2176-62232025000110150</article-id>
<article-id pub-id-type="doi">10.5123/s2176-6223202501743</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Vigilância em doenças tropicais e práticas de enfermagem na Amazônia: modelagem climática e inovações científicas para a saúde em tempos de mudanças globais]]></article-title>
<article-title xml:lang="en"><![CDATA[Tropical disease surveillance and nursing practices in the Amazon: climate modeling and scientific innovations for health in times of global change]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sousa]]></surname>
<given-names><![CDATA[Amauri Mesquita de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cabral]]></surname>
<given-names><![CDATA[Marcos Vinicius Afonso]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Araújo]]></surname>
<given-names><![CDATA[José Augusto Carvalho de]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Norte do Paraná  ]]></institution>
<addr-line><![CDATA[Castanhal Pará]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade do Estado do Pará Centro de Ciências Naturais e Tecnologia ]]></institution>
<addr-line><![CDATA[Belém Pará]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2025</year>
</pub-date>
<volume>16</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_arttext&amp;pid=S2176-62232025000110150&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_abstract&amp;pid=S2176-62232025000110150&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.iec.gov.br/scielo.php?script=sci_pdf&amp;pid=S2176-62232025000110150&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[RESUMO  OBJETIVO:  Sintetizar as evidências científicas sobre a aplicação da modelagem climática na vigilância de doenças tropicais na Amazônia, com ênfase no papel da enfermagem, visando compreender como os avanços tecnológicos podem ser traduzidos em práticas de cuidado territorializadas e humanizadas.  MATERIAIS E MÉTODOS:  Seguindo as diretrizes PRISMA, foram analisados 48 estudos publicados entre 2013 e 2023, recuperados das bases PubMed, Scopus, Web of Science, LILACS e SciELO, utilizando combinações de descritores relacionados a clima, doenças tropicais e enfermagem. A qualidade metodológica foi avaliada por ferramentas como a Newcastle-Ottawa Scale e o JBI Critical Appraisal Checklist.  RESULTADOS:  Os achados revelaram que a maioria das pesquisas concentrou-se em malária (45,8%), dengue (29,2%) e leishmaniose (16,7%), utilizando predominantemente variáveis climáticas como temperatura e precipitação. Apenas 18,8% dos estudos descreveram intervenções de enfermagem baseadas em evidências climáticas, destacando-se protocolos de notificação ampliada e educação comunitária. Barreiras significativas incluíram a fragmentação dos sistemas de vigilância (56,3%), a escassa capacitação profissional (39,6%) e a desconexão entre modelos preditivos e realidades locais.  CONCLUSÃO:  Apesar do potencial da modelagem climática para antecipar cenários de risco, sua integração à prática de enfermagem na Amazônia permanece incipiente, exigindo abordagens transdisciplinares que articulem precisão científica, saberes tradicionais e equidade em saúde. Recomenda-se o desenvolvimento de ferramentas participativas, a formação crítica de profissionais e políticas públicas sensíveis às diversidades socioculturais da região, garantindo que as inovações tecnológicas fortaleçam, e não substituam, o cuidado humanizado em contextos de vulnerabilidade.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT  OBJECTIVE:  To synthesize scientific evidence on the application of climate modeling in the surveillance of tropical diseases in the Amazon, with emphasis on the role of nursing, seeking to understand how technological advances can be translated into territorialized and humanized care practices.  MATERIALS AND METHODS:  Following PRISMA guidelines, 48 studies published between 2013 and 2023 were analyzed, retrieved from PubMed, Scopus, Web of Science, LILACS, and SciELO databases, using combinations of descriptors related to climate, tropical diseases, and nursing. Methodological quality was assessed using tools such as the Newcastle-Ottawa Scale and the JBI Critical Appraisal Checklist.  RESULTS:  The findings revealed that most studies focused on malaria (45.8%), dengue (29.2%), and leishmaniasis (16.7%), predominantly using climatic variables such as temperature and precipitation. Only 18.8% of the studies described nursing interventions based on climatic evidence, highlighting expanded notification protocols and community education initiatives. Major barriers included the fragmentation of surveillance systems (56.3%), limited professional training (39.6%), and the disconnection between predictive models and local realities.  CONCLUSION:  Despite the potential of climate modeling to anticipate risk scenarios, its integration into nursing practice in the Amazon remains incipient, requiring transdisciplinary approaches that connect scientific accuracy, traditional knowledge, and health equity. The development of participatory tools, critical professional training, and public policies sensitive to the region's sociocultural diversity is recommended to ensure that technological innovations strengthen rather than replace humanized care in vulnerable contexts.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Vigilância em saúde pública]]></kwd>
<kwd lng="pt"><![CDATA[Enfermagem]]></kwd>
<kwd lng="pt"><![CDATA[Mudança climática]]></kwd>
<kwd lng="pt"><![CDATA[Ecossistema Amazônico]]></kwd>
<kwd lng="pt"><![CDATA[Saúde pública]]></kwd>
<kwd lng="pt"><![CDATA[Epidemiologia]]></kwd>
<kwd lng="en"><![CDATA[Public Health Surveillance]]></kwd>
<kwd lng="en"><![CDATA[Nursing]]></kwd>
<kwd lng="en"><![CDATA[Climate Change]]></kwd>
<kwd lng="en"><![CDATA[Amazonian Ecosystem]]></kwd>
<kwd lng="en"><![CDATA[Public Health]]></kwd>
<kwd lng="en"><![CDATA[Epidemiology]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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