Malaria notifications in Legal Amazon, Brazil (2003-2022): A Comprehensive Dataset for research & surveillance

Authors

DOI:

https://doi.org/10.53805/lads.v4i1.67

Keywords:

Forecasting, Tropical diseases, Epidemiological data

Abstract

Malaria, a life-threatening disease, is preventable and curable. However, the World Health Organization reported alarming statistics for the year 2021, estimating 247 million cases of malaria worldwide, resulting in 619,000 deaths. In Brazil, cases of malaria are concentrated in the region of the Amazon rainforest, known as the Legal Amazon. In response to calls for more research to adapt malaria mitigation and eradication strategies to local conditions, this article presents a dataset based on data collected from the Malaria Epidemiological Surveillance Information System (SIVEP-Malaria) for the period from January 2003 to December 2022 on patients diagnosed with malaria. The pre-processed data set is composed of 1,251,309 records of confirmed malaria cases and included four attributes (Date, Municipality, Test results, and Notifications), attributes considered essential for the development and application of series modeling techniques temporal. By making this dataset available, it is intended to provide researchers with the necessary tools to develop effective strategies for mitigating and eradicating malaria in the region.

References

IBGE - Instituto Brasileiro de Geografia e Estatística. Amazônia legal. 2021. Available at: <https://www.ibge.gov.br/geociencias/cartas-e-mapas/mapas-regionais/15819-amazonia-legal.html?=&t=o -que-e>

IBGE - Instituto Brasileiro de Geografia e Estatística. Cidades: Manaus - AM. 2022. Available at: <https://cidades.ibge.gov.br/brasil/am/manaus/panorama>

SVS - Secretaria de Vigilância em Saúde. Panorama epidemiológico da malária em 2021: Buscando o caminho para a eliminação da malária no Brasil. Ministério da Saúde, Brazil. Ministério da Saúde, 2022. Available at: <https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/epidemiologicos /edicoes/2022/boletim-epidemiologico-vol-53-no17.pdf>

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Published

13-11-2024

How to Cite

MONTEIRO, Kayo; DA SILVA NETO, Sebastiao Rogerio; ROCHA, Élisson da Silva; MAIA, Leonardo de Carvalho; PETERKA, Cássio; SAMPAIO, Vanderson Souza; DOURADO, Raphael Augusto; LYNN, Theo; ENDO, Patricia Takako. Malaria notifications in Legal Amazon, Brazil (2003-2022): A Comprehensive Dataset for research & surveillance. Latin American Data in Science, [S. l.], v. 4, n. 1, p. 11–19, 2024. DOI: 10.53805/lads.v4i1.67. Disponível em: https://ojs.datainscience.com.br/lads/article/view/67. Acesso em: 30 dec. 2024.

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