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Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti.

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Title: Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti.
Authors: Lima CL; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil., Sancho KA; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil., Silva ACGD; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil., Vital R; Graduate Program in Pharmaceutical Sciences, Department of Pharmaceutical Sciences, Center for Health Sciences, Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife 50670-901, PE, Brazil., Silva CCD; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil., Mendonça MFS; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil., Borges FT; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.; Department of Science and Technology, Vice-Ministry of Science, Technology, and Innovation, Brazilian Ministry of Health, Brasília 70719-040, DF, Brazil., Siqueira CEG; School for the Environment, University of Massachusetts Boston (UMass Boston), Boston, MA 02125, USA., Santos WPD; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2025 Dec 20; Vol. 23 (1). Date of Electronic Publication: 2025 Dec 20.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti.
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  Data: <searchLink fieldCode="AU" term="%22Lima+CL%22">Lima CL</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Sancho+KA%22">Sancho KA</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Silva+ACGD%22">Silva ACGD</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Vital+R%22">Vital R</searchLink>; Graduate Program in Pharmaceutical Sciences, Department of Pharmaceutical Sciences, Center for Health Sciences, Federal University of Pernambuco (UFPE), Av. Prof. Moraes Rego, 1235, Cidade Universitária, Recife 50670-901, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Silva+CCD%22">Silva CCD</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Mendonça+MFS%22">Mendonça MFS</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.<br /><searchLink fieldCode="AU" term="%22Borges+FT%22">Borges FT</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.; Department of Science and Technology, Vice-Ministry of Science, Technology, and Innovation, Brazilian Ministry of Health, Brasília 70719-040, DF, Brazil.<br /><searchLink fieldCode="AU" term="%22Siqueira+CEG%22">Siqueira CEG</searchLink>; School for the Environment, University of Massachusetts Boston (UMass Boston), Boston, MA 02125, USA.<br /><searchLink fieldCode="AU" term="%22Santos+WPD%22">Santos WPD</searchLink>; Department of Biomedical Engineering, Geoscience and Technology Center, Federal University of Pernambuco (UFPE), Recife 50740-550, PE, Brazil.
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  Data: <searchLink fieldCode="JN" term="%22101238455%22">International journal of environmental research and public health</searchLink> [Int J Environ Res Public Health] 2025 Dec 20; Vol. 23 (1). <i>Date of Electronic Publication: </i>2025 Dec 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101238455 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1660-4601 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216604601%22">16604601 </searchLink><i>NLM ISO Abbreviation: </i>Int J Environ Res Public Health <i>Subsets: </i>MEDLINE
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              Text: 2025 Dec 20
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