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Tytuł:
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Population-based, spatiotemporal modeling of social risk factors and mortality from schistosomiasis in Brazil between 1999 and 2018.
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Autorzy:
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Silva da Paz W; Graduate Program in Parasitic Biology, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil. Electronic address: .
Duthie MS; HDT Bio, Seattle, Washington, USA.
Ribeiro de Jesus A; Department of Medicine, Universidade Federal de Sergipe, Aracaju, Sergipe, Brazil; Immunology and Molecular Biology Laboratory, University Hospital, Universidade Federal de Sergipe, Aracaju, Brazil; Graduate Program in Health Sciences, Aracaju, Sergipe, Brazil.
Machado de Araújo KCG; Graduate Program in Parasitic Biology, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil; Graduate Program in Health Sciences, Aracaju, Sergipe, Brazil; Department of Morphology, Universidade Federal de Sergipe, Aracaju, Sergipe, Brazil.
Dantas Dos Santos A; Department of Nursing, Universidade Federal de Sergipe, Lagarto, Sergipe, Brazil; Graduate Program of Nursing, Universidade Federal de Sergipe, Aracaju, Sergipe, Brazil.
Bezerra-Santos M; Graduate Program in Parasitic Biology, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil; Immunology and Molecular Biology Laboratory, University Hospital, Universidade Federal de Sergipe, Aracaju, Brazil; Graduate Program in Health Sciences, Aracaju, Sergipe, Brazil; Department of Morphology, Universidade Federal de Sergipe, Aracaju, Sergipe, Brazil.
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Źródło:
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Acta tropica [Acta Trop] 2021 Jun; Vol. 218, pp. 105897. Date of Electronic Publication: 2021 Mar 20.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: Amsterdam : Elsevier
Original Publication: Basel.
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MeSH Terms:
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Schistosomiasis/*mortality
Schistosomiasis mansoni/*mortality
Adolescent ; Adult ; Bayes Theorem ; Brazil/epidemiology ; Child ; Child, Preschool ; Cities/epidemiology ; Environment ; Female ; Humans ; Infant ; Infant, Newborn ; Linear Models ; Male ; Middle Aged ; Poverty Areas ; Public Health/statistics & numerical data ; Risk Factors ; Schistosomiasis/epidemiology ; Social Determinants of Health/statistics & numerical data ; Spatial Analysis ; Young Adult
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Contributed Indexing:
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Keywords: Brazil; Mortality rate; Schistosoma mansoni; Social determinants in health; Spatial analysis
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Entry Date(s):
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Date Created: 20210323 Date Completed: 20210607 Latest Revision: 20210607
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Update Code:
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20240105
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DOI:
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10.1016/j.actatropica.2021.105897
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PMID:
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33753030
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Schistosomiasis remains a significant public health concern in Brazil. To identify areas at, and social determinants of health (SDH) associated with, high-risk for schistosomiasis-related mortality from Brazil, we conducted a spatial and spatiotemporal modeling assessing all deaths confirmed in Brazil between 1999 and 2018. We used the segmented log-linear regression model to assess temporal trends, and the local empirical Bayesian estimator, the Global and Local Moran Index for spatial analysis. A total of 12,251 schistosomiasis-related deaths were reported in this period. Within the Mortality Information System (SIM) of the Brazilian Ministry of Health, the states of Alagoas (AL), Pernambuco (PE) and Sergipe (SE) recording the highest mortality rates: 2.21, 1.92 and 0.80 deaths/100,000 inhabitants, respectively. Analyses revealed an increase in the mean age of schistosomiasis-related deaths over the time assessed (APC = 0.9; p-value<0.05). Spatial analysis identified a concentration of municipalities presenting high risk of schistosomiasis-related mortality along the coastline of PE and AL. Similarly, we identified the formation of high space-time clusters in municipalities in the states of PE, AL, SE, Bahia, and Minas Gerais. Finally, mortality rates showed a significant correlation with 96.96% of SDH indices. The data reveal additional important changes in schistosomiasis-related deaths in Brazil between 1999 and 2018, such as a slow reduction among males (unlike females that displayed no change). Regardless, our analyses indicates that schistosomiasis continues to have the greatest detrimental impact in poor regions of Brazil and suggest the need for enhancement of current control measures to accelerate progress.
(Copyright © 2021 Elsevier B.V. All rights reserved.)
