Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach (2024)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; PIVA, LUIZA LOBER DE SOUZA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.chaos.2024.115417
- Subjects: MODELAGEM DE EPIDEMIA; PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS); APRENDIZADO COMPUTACIONAL; CIDADES
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Chaos, Solitons and Fractals
- ISSN: 1873-2887
- Volume/Número/Paginação/Ano: v. 187, p, 1-6, 2024
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
LOBER, Luiza e ROSTER, Kirstin e RODRIGUES, Francisco Aparecido. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach. Chaos, Solitons and Fractals, v. 187, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.115417. Acesso em: 19 out. 2024. -
APA
Lober, L., Roster, K., & Rodrigues, F. A. (2024). Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach. Chaos, Solitons and Fractals, 187. doi:10.1016/j.chaos.2024.115417 -
NLM
Lober L, Roster K, Rodrigues FA. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach [Internet]. Chaos, Solitons and Fractals. 2024 ; 187[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.chaos.2024.115417 -
Vancouver
Lober L, Roster K, Rodrigues FA. Forecasting infectious diseases in Brazilian cities: integrating socio-economic and geographic data from related cities through a machine learning approach [Internet]. Chaos, Solitons and Fractals. 2024 ; 187[citado 2024 out. 19 ] Available from: https://doi.org/10.1016/j.chaos.2024.115417 - Unfolding the complexity of the global value chain: strength and entropy in the single-layer, multiplex, and multi-layer international trade networks
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Informações sobre o DOI: 10.1016/j.chaos.2024.115417 (Fonte: oaDOI API)
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