Mortality due to meningococcal infection in Brazil: a temporospatialanalysis

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Heloisa Stadler Ribas
https://orcid.org/0009-0001-9546-1306
Fernanda Ritt de Souza
https://orcid.org/0009-0006-5196-4426
Tailla Cristina de Oliveira
https://orcid.org/0009-0005-4756-318X
Leonardo Moreira Dias
https://orcid.org/0009-0000-6644-6177
Yasmin de Sá Ortiz
https://orcid.org/0009-0005-1256-0093
Leonardo Shigueo Prezoto
https://orcid.org/0009-0000-0481-6849
Isabella Bettega Queiroz
https://orcid.org/0009-0009-7734-821X
Gabriela Squioquet Salmória
https://orcid.org/0009-0009-3945-7618
Khadija Mohamad Youssef
https://orcid.org/0009-0009-6305-4886

Abstract

Introduction: Meningococcal infection characterizes infection by Neisseriaseria meningitidis, Gram-negative bacteria, normally present as commensals in the normal nasopharyngeal microbiota, but potentially pathogenic. The combination of factors such as the specific characteristics and virulence of the strain involved with the host predisposition can culminate in the disease.


Objective: To analyze the spatial and epidemiological profile of mortality from meningococcal infection in municipalities in Brazil, from 2001 to 2021.


Method: Epidemiological study focusing on the spatial analysis of mortality between 2001 and 2021. Data from the Mortality Information System (SIM), made available by DATASUS, and population data from the Brazilian Institute of Geography and Statistics (IBGE) were used to calculate crude and standardized mortality rates. The temporal analysis was performed using Joinpoint, while the spatial analysis was performed using GeoDa.


Results: There were 9,815 deaths from meningococcal infection in Brazil. The analysis identified clusters of high rates in the Northeast and Southeast regions. The municipalities with the highest rates were Sampaio, TO (4.77/100 thousand inhabitants), Serra da Raiz, PB (4.33/100 thousand) and Sambaíba, MA (4.25/100 thousand).


Conclusion: The study identified municipalities and clusters with high rates and the need for targeted strategies for disease prevention and control.

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References

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