Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies (2025)
- Authors:
- Autor USP: RODRIGUES, FRANCISCO APARECIDO - ICMC
- Unidade: ICMC
- DOI: 10.1093/biomethods/bpaf039
- Subjects: COVID-19; REDES COMPLEXAS; APRENDIZAGEM PROFUNDA; AVALIAÇÃO DE AÇÕES DE SAÚDE PÚBLICA
- Keywords: agent-based modeling; public health interventions; COVASIM
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
03. Saúde e bem-estar
- Imprenta:
- Source:
- Título: Biology Methods and Protocols
- ISSN: 2396-8923
- Volume/Número/Paginação/Ano: v. 10, n. 1, p. 1-11, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ALVES, Caroline Lourenço et al. Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies. Biology Methods and Protocols, v. 10, n. 1, p. 1-11, 2025Tradução . . Disponível em: https://doi.org/10.1093/biomethods/bpaf039. Acesso em: 20 jan. 2026. -
APA
Alves, C. L., Kuhnert, K., Rodrigues, F. A., & Moeckel, M. (2025). Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies. Biology Methods and Protocols, 10( 1), 1-11. doi:10.1093/biomethods/bpaf039 -
NLM
Alves CL, Kuhnert K, Rodrigues FA, Moeckel M. Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies [Internet]. Biology Methods and Protocols. 2025 ; 10( 1): 1-11.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1093/biomethods/bpaf039 -
Vancouver
Alves CL, Kuhnert K, Rodrigues FA, Moeckel M. Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies [Internet]. Biology Methods and Protocols. 2025 ; 10( 1): 1-11.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1093/biomethods/bpaf039 - Low-dimensional behavior of Kuramoto model with inertia in complex networks
- Collective dynamics in two populations of noisy oscillators with asymmetric interactions
- The Kuramoto model in complex networks
- Effects of assortative mixing in the second-order Kuramoto model
- Cooperative behavior between oscillatory and excitable units: the peculiar role of positive coupling-frequency correlations
- Sincronização explosiva: análise da influência das frequências na explosividade
- Tweaking synchronization by connectivity modifications
- Topological versus spectral properties of random geometric graphs
- Multilayer networks: metrics and spectral properties
- Scaling properties of multilayer random networks
Informações sobre o DOI: 10.1093/biomethods/bpaf039 (Fonte: oaDOI API)
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