Spatial and temporal prediction of Aedes aegypti populations with atmospheric and urban forms dependence.

Saved in:
Bibliographic Details
Title: Spatial and temporal prediction of Aedes aegypti populations with atmospheric and urban forms dependence.
Authors: Lugão PHG; Laboratory of Applied Mathematics, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.; Department of Engineering and Computation, Federal Center for Technological Education Celso Suckow da Fonseca, Petrópolis, 25620-003, Brazil., da Silva MR; Laboratory of Applied Mathematics, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.; Federal Institute of Southeast Minas Gerais, Santos Dumont, 36240-000, Brazil., Cascelli R; Laboratory of Applied Mathematics, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.; Computational Modeling Graduate Program, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil., Chapiro G; Laboratory of Applied Mathematics, Institute of Exact Sciences, Federal University of Juiz de Fora, Juiz de Fora, 36036-900, Brazil.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2026 Jun 23; Vol. 123 (25), pp. e2533964123. Date of Electronic Publication: 2026 Jun 18.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first