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Temporal and spatial analysis of over 7,000 measles cases outbreak from 2018 to 2019 in the Brazilian Amazon

Authors :
Felipe de Mello Martins
Alessandra Pinheiro Vidal
Jeevan Giddaluru
Bernardo Maia da Silva
Eva K. Lee
Peijue Zhang
Lucas Esteves Cardozo
Carlos Augusto Prete Junior
Helves Humberto Domingues
Ester Cerdeira Sabino
Vanderson de Souza Sampaio
Wuelton Marcelo Monteiro
Helder I Nakaya
Source :
Einstein (São Paulo), Vol 22 (2024)
Publication Year :
2024
Publisher :
Instituto Israelita de Ensino e Pesquisa Albert Einstein, 2024.

Abstract

ABSTRACT Objective: This study aimed to present a temporal and spatial analysis of the 2018 measles outbreak in Brazil, particularly in the metropolitan city of Manaus in the Amazon region, and further introduce a new tool for spatial analysis. Methods: We analyzed the geographical data of the residences of over 7,000 individuals with measles in Manaus during 2018 and 2019. Spatial and temporal analyses were conducted to characterize various aspects of the outbreak, including the onset and prevalence of symptoms, demographics, and vaccination status. A visualization tool was also constructed to display the geographical and temporal distribution of the reported measles cases. Results: Approximately 95% of the included participants had not received vaccination within the past decade. Heterogeneity was observed across all facets of the outbreak, including variations in the incubation period and symptom presentation. Age distribution exhibited two peaks, occurring at one year and 18 years of age, and the potential implications of this distribution on predictive analysis were discussed. Additionally, spatial analysis revealed that areas with the highest case densities tended to have the lowest standard of living. Conclusion: Understanding the spatial and temporal spread of measles outbreaks provides insights for decision-making regarding measures to mitigate future epidemics.

Details

Language :
English, Portuguese
ISSN :
23176385
Volume :
22
Database :
Directory of Open Access Journals
Journal :
Einstein (São Paulo)
Publication Type :
Academic Journal
Accession number :
edsdoj.513efcc39e64b72a4ba3816adf36a99
Document Type :
article
Full Text :
https://doi.org/10.31744/einstein_journal/2024ao0931