Comparative Analysis of Spatial Agglomeration Methods Getis-Ord and Besag and Newell for Dengue Epidemiology Paraíba, Brazil-Reference-Cited by-同舟云学术

Comparative Analysis of Spatial Agglomeration Methods Getis-Ord and Besag and Newell for Dengue Epidemiology Paraíba, Brazil

Published:2024 Issue: Volume: Page:212-223
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

de Carvalho Rocha Josemary Marcionila Freire Rodrigue,da Silva Luiz Henrique,de Moraes Ronei Marcos

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-54235-0_20

Reference27 articles.

1. Boulos, K.M.N., Geraghty, E.M.: Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int. J. Health Geogr. 19(1), 1–12 (2020). https://doi.org/10.1186/s12942-020-00202-8

2. Mclafferty, S.: Disease cluster detection methods: recent developments and public health implications. Ann. GIS 21(2), 127–133 (2015). https://doi.org/10.1080/19475683.2015.1008572

3. Heinisch, M.R.S., et al.: Seasonal and spatial distribution of Aedes aegypti and Aedes albopictus in a municipal urban park in São Paulo, SP. Brazil. Acta tropica 189, 104–113 (2019). https://doi.org/10.1016/j.actatropica.2018.09.011

4. Ministry of Health. DATASUS (SUS Information Technology Department). Brasília: Ministry of Health (2023). http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinannet/cnv/denguebbr.def

5. Besag, J., Newell, J.: The detection of clusters in rare diseases. J. Roy. Stat. Soc. 154, 143–155 (1991). https://doi.org/10.2307/2982708