Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission (2024)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; ROSTER, KIRSTIN INGRID OLIVEIRA - ICMC
- Unidade: ICMC
- DOI: 10.1371/journal.pntd.0012726
- Subjects: DENGUE; ANÁLISE DE SÉRIES TEMPORAIS; APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2024
- Source:
- Título: PLoS Neglected Tropical Diseases
- ISSN: 1935-2735
- Volume/Número/Paginação/Ano: v. 18, n. 12, p. 1-14, 2024
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ROSTER, Kirstin Oliveira et al. Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission. PLoS Neglected Tropical Diseases, v. 18, n. 12, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1371/ journal.pntd.0012726. Acesso em: 16 abr. 2026. -
APA
Roster, K. O., Martinell, T., Connaughton, C., Santillana, M., & Rodrigues, F. A. (2024). Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission. PLoS Neglected Tropical Diseases, 18( 12), 1-14. doi:10.1371/journal.pntd.0012726 -
NLM
Roster KO, Martinell T, Connaughton C, Santillana M, Rodrigues FA. Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission [Internet]. PLoS Neglected Tropical Diseases. 2024 ; 18( 12): 1-14.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1371/ journal.pntd.0012726 -
Vancouver
Roster KO, Martinell T, Connaughton C, Santillana M, Rodrigues FA. Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission [Internet]. PLoS Neglected Tropical Diseases. 2024 ; 18( 12): 1-14.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1371/ journal.pntd.0012726 - Forecasting new diseases in low-data settings using transfer learning
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