Risk of Dengue and tendency map based on geographic localization of cases and vectorial infestation in the North of Brazil-Reference-Cited by-同舟云学术

Risk of Dengue and tendency map based on geographic localization of cases and vectorial infestation in the North of Brazil

Published:2023-07-18 Issue:5 Volume:88 Page:5259-5269
ISSN:1572-9893
Container-title:GeoJournal
language:en
Short-container-title:GeoJournal

Author:

Gomes Helierson^ORCID,Kihara Pamela Mayumi,Nunes Marcelo Henrique Sousa,de Matos João Pedro Pinheiro,Silva Laís Debora Roque,de Mendonça Santos Wathyson Alex,de Jesus Andrielly Gomes,Quaresma Juarez Antônio Simões

Funder

PIBIC/UFNT

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10708-023-10892-9.pdf

Reference31 articles.

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2. Andrioli, D. C., Busato, M. A., & Lutinski, J. A. (2020). Characteristics of the dengue epidemic in Pinhalzinho, Santa Catarina, 2015–2016. Epidemiology and Health Services. https://doi.org/10.5123/S1679-49742020000400007. Accessed 2 August 2022

3. Antunes, J. L. F., & Cardoso, M. R. A. (2015). Use of time series analysis in epidemiological studies. Epidemiology and Health Services, 24(3), 565–576. https://doi.org/10.5123/S1679-49742015000300024

4. Avelino-Silva, V. L., & Ramos, J. F. (2017). Arboviruses and public policies in Brazil/Arboviruses and public policies in Brazil. Health Sciences Magazine, 7(3), 1–2. https://doi.org/10.21876/rcsfmit.v7i3.675

5. Bezerra, J. M. T., de Sousa, S. C., Tauil, P. L., Carneiro, M., & Barbosa, D. S. (2021). Entry of dengue virus serotypes and their geographic distribution in Brazilian federative units: a systematic review. Brazilian Journal of Epidemiology. https://doi.org/10.1590/1980-549720210020. Retrieved August 2, 2022, from https://www.scielo.br/j/rbepid/a/z96xfD3n9nhNTqRqqPfwSYR/?lang=en#

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