Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al. (2023)
- Autor:
- Autor USP: ROSTER, KIRSTIN INGRID OLIVEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.plrev.2023.01.009
- Subjects: MODELOS MATEMÁTICOS; EPIDEMIOLOGIA; DENGUE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Physics of Life Reviews
- ISSN: 1571-0645
- Volume/Número/Paginação/Ano: v. 44, p. 197-200, Mar. 2023
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
ROSTER, Kirstin. Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.plrev.2023.01.009. Acesso em: 31 dez. 2025. , 2023 -
APA
Roster, K. (2023). Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al. Physics of Life Reviews. Amsterdam: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1016/j.plrev.2023.01.009 -
NLM
Roster K. Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al. [Internet]. Physics of Life Reviews. 2023 ; 44 197-200.[citado 2025 dez. 31 ] Available from: https://doi.org/10.1016/j.plrev.2023.01.009 -
Vancouver
Roster K. Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al. [Internet]. Physics of Life Reviews. 2023 ; 44 197-200.[citado 2025 dez. 31 ] Available from: https://doi.org/10.1016/j.plrev.2023.01.009 - Data science for epidemiology: a case study of dengue in Brazil
- Data-rich modeling helps answer increasingly complex questions on variant and disease interactions [Carta]: comment on "Mathematical models for dengue fever epidemiology: A10-year systematic review" by Aguiar et al.
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Informações sobre o DOI: 10.1016/j.plrev.2023.01.009 (Fonte: oaDOI API)
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