Productivity in times of Covid-19: an agent-based model approach (2022)
- Autor:
- Autor USP: FONTANARI, JOSE FERNANDO - IFSC
- Unidade: IFSC
- DOI: 10.1007/978-3-030-96562-4_7
- Subjects: COVID-19; CORONAVIRUS; PRODUTIVIDADE; INTERAÇÃO SOCIAL (COMPORTAMENTO SOCIAL)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Predicting pandemics in a globally connected world: toward a multiscale, multidisciplinary framework through modeling and simulation
- ISSN: 2164-3679
- Volume/Número/Paginação/Ano: v. 1, 314 p
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
FONTANARI, José Fernando. Productivity in times of Covid-19: an agent-based model approach. Predicting pandemics in a globally connected world: toward a multiscale, multidisciplinary framework through modeling and simulation. Tradução . Cham: Springer, 2022. v. 1. . Disponível em: https://doi.org/10.1007/978-3-030-96562-4_7. Acesso em: 29 maio 2024. -
APA
Fontanari, J. F. (2022). Productivity in times of Covid-19: an agent-based model approach. In Predicting pandemics in a globally connected world: toward a multiscale, multidisciplinary framework through modeling and simulation (Vol. 1). Cham: Springer. doi:10.1007/978-3-030-96562-4_7 -
NLM
Fontanari JF. Productivity in times of Covid-19: an agent-based model approach [Internet]. In: Predicting pandemics in a globally connected world: toward a multiscale, multidisciplinary framework through modeling and simulation. Cham: Springer; 2022. [citado 2024 maio 29 ] Available from: https://doi.org/10.1007/978-3-030-96562-4_7 -
Vancouver
Fontanari JF. Productivity in times of Covid-19: an agent-based model approach [Internet]. In: Predicting pandemics in a globally connected world: toward a multiscale, multidisciplinary framework through modeling and simulation. Cham: Springer; 2022. [citado 2024 maio 29 ] Available from: https://doi.org/10.1007/978-3-030-96562-4_7 - Physics of Life Reviews
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Informações sobre o DOI: 10.1007/978-3-030-96562-4_7 (Fonte: oaDOI API)
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