Leveraging Climate Data Through Intelligent Systems for the Prediction of Arbovirus Transmission by Aedes aegypti.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1660-4601 |
|---|---|
| DOI: | 10.3390/ijerph23010012 |