1. Spatio-temporal trends in mortality due to Chagas disease in the State of Bahia, Brazil, from 2008 to 2018.
- Author
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Carvalho CMM, Ribeiro-Jr G, Gurgel-Gonçalves R, Andrade LS, Moraes CA, and Figueiredo MAA
- Subjects
- Humans, Brazil epidemiology, Male, Female, Aged, Middle Aged, Adult, Adolescent, Child, Preschool, Child, Young Adult, Infant, Mortality trends, Age Distribution, Cause of Death trends, Sex Distribution, Infant, Newborn, Incidence, Chagas Disease mortality, Spatio-Temporal Analysis
- Abstract
Background: Chagas disease is a silent illness with high mortality burden in many Latin American countries, such as Brazil. Bahia has the fourth highest mortality rate in Brazil. This study analyzed the temporal trends and regional differences in the mortality rate of Chagas disease in Bahia State from 2008 to 2018., Methods: A time-series analysis of Chagas disease-related deaths was conducted using data from the Mortality Information System of Brazil. We compared the mortality rate due to Chagas disease as the primary cause and mention of the disease in the death certificate, standardized by age and health macroregion/residence municipality, and mapped hot and coldspots., Results: The Chagas Disease Mortality Rate in Bahia during the study period revealed a stationary trend, ranging from 5.34 (2008) to 5.33 (2018) deaths per 100,000 inhabitants. However, the four health macroregions showed an upward trend in mortality rates. The mortality rate (age-adjusted) ranged from 4.3 to 5.1 deaths per 100,000 inhabitants between 2008 and 2018. We observed a upward trend in the mortality rate among individuals aged ≥70 years and a higher incidence of death among men than among women. Of the total number of deaths (8,834), 79.3% had Chagas disease as the primary cause and the death certificates of 20.7% mentioned the disease. Cardiac complications were reported in 85.1% of the deaths due to Chagas disease., Conclusions: The regional and individual differences in the mortality rate of Chagas disease highlighted in this study may support health planning that considers the peculiarities of the territory.
- Published
- 2024
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