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1.
Rev. Soc. Bras. Med. Trop ; 53: e20190262, 2020. graf
Article in English | LILACS | ID: biblio-1057292

ABSTRACT

Abstract INTRODUCTION We aimed to analyze the relationship between visceral leishmaniasis mortality and social determinants of health (SDH). METHODS This was an ecological study of all leishmaniasis-related deaths in Brazil, from 2001 to 2015. We analyzed 49 indicators of human development and social vulnerability. The association was tested using the classical and spatial regression model. RESULTS Mortality was associated with indicators that expressed low human development and high social vulnerability: lack of garbage collection, low schooling, unemployment rate, low per capita income, and income inequality (Gini index). CONCLUSIONS: There was an association between high mortality by leishmaniasis and low SDH.


Subject(s)
Humans , Male , Female , Infant, Newborn , Infant , Child, Preschool , Child , Adolescent , Adult , Young Adult , Social Determinants of Health , Leishmaniasis, Visceral/mortality , Brazil/epidemiology , Spatial Analysis
2.
Rev. Soc. Bras. Med. Trop ; 52: e20180458, 2019. tab, graf
Article in English | LILACS | ID: biblio-1041548

ABSTRACT

Abstract INTRODUCTION We aimed to analyze trends in Schistosomiasis positivity, mortality, and hospitalization rates in Northeast Brazil. METHODS We conducted an ecological study using data from the Brazilian Schistosomiasis Control Program, and Hospital and Mortality Information Systems. A joinpoint regression model was used for temporal analysis. RESULTS The positivity(−4.7%;p<0.001) and hospitalization(−17.7%;p<0.001) rates declined globally, while the mortality remained stationary (−0.8%;p>0.05). However, the hospitalization in Alagoas(27.1%;p<0.001) and Pernambuco (35.1%;p<0.001), and the mortality in Bahia(2.9%;p<0.001) and Sergipe(4.1%;p<0.001), increased. CONCLUSIONS Schistosomiasis mansoni represents an important public health problem in Pernambuco, Alagoas, Sergipe, and Bahia.


Subject(s)
Humans , Schistosomiasis mansoni/mortality , Hospitalization/statistics & numerical data , Brazil/epidemiology
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