Analysis of the effectiveness of public health measures on COVID-19 transmission (2023)
- Authors:
- USP affiliated authors: SILVA, THIAGO CHRISTIANO - ICMC ; ANGHINONI, LEANDRO - ICMC
- Unidade: ICMC
- DOI: 10.3390/ijerph20186758
- Subjects: INTELIGÊNCIA ARTIFICIAL; COVID-19; APRENDIZADO COMPUTACIONAL
- Keywords: Artificial intelligence; Network; VAR; SIR
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Environmental Research and Public Health
- ISSN: 1661-7827
- Volume/Número/Paginação/Ano: v. 20, n. 18, art. 6758, p. 1-19, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Thiago Christiano et al. Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, v. 20, n. 18, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.3390/ijerph20186758. Acesso em: 28 fev. 2026. -
APA
Silva, T. C., Anghinoni, L., Chagas, C. P. das, Zhao, L., & Tabak, B. M. (2023). Analysis of the effectiveness of public health measures on COVID-19 transmission. International Journal of Environmental Research and Public Health, 20( 18), 1-19. doi:10.3390/ijerph20186758 -
NLM
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2026 fev. 28 ] Available from: https://doi.org/10.3390/ijerph20186758 -
Vancouver
Silva TC, Anghinoni L, Chagas CP das, Zhao L, Tabak BM. Analysis of the effectiveness of public health measures on COVID-19 transmission [Internet]. International Journal of Environmental Research and Public Health. 2023 ; 20( 18): 1-19.[citado 2026 fev. 28 ] Available from: https://doi.org/10.3390/ijerph20186758 - Time series pattern identification by hierarchical community detection
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Informações sobre o DOI: 10.3390/ijerph20186758 (Fonte: oaDOI API)
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