Twenty-Two years of dengue fever (1996-2017): an epidemiological study in a Brazilian city.

This ecological study analyzed the temporal pattern of clinically diagnosed and laboratory confirmed dengue cases in Belo Horizonte, Minas Gerais, Brazil from 1996 to 2017. The study was divided into two analytical parts, the first of which evaluated the association between dengue incidence and host and climatic factors. The second part encompassed data from 2002 to 2017 and examined dengue incidence in relation to virus serotype and an intra-urban socioeconomic index. Over 22 years there were 469,171 cases and four epidemic peaks. There was an increase in the number, severity, and lethality of cases over the last 10 years of the study period. Biological and environmental factors appear to modulate the behavior of dengue in a large urban center.

Perceived discrimination among older adults living in urban and rural areas in Brazil: a national study (ELSI-Brazil).

BACKGROUND: Research on discrimination and health focused on older adults has been scarce, comparatively with younger and middle-aged adults. Considering where people live matters, accurate measures of perceived discrimination might consider how the place of residence interferes on discriminatory experiences. This study aimed to assess the association between perceived discrimination and urban/rural place of residence among a representative sample of older adults in Brazil. METHODS: Data came from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2015/2016, with individuals aged 50 years and older. Perceived Discrimination was measured by means of the following question: "In the past 12 months have you felt a victim of any type of discrimination" with five possible answers: (1)"when you sought medical services or health care?", (2)"in social gatherings?", (3)"in the work place?", (4)"within the family?", (5)"due to where you live?". Participants who answered yes for any of the five domains were coded as having reported an experience of discrimination. The main exposure variable was the urban-rural classification of the households, carried out according to the methods employed by the Brazilian Institute of Geography and Statistics during the 2010 Population Census. Other covariates included: age, sex, skin color, household wealth and education. Multiple Poisson regression was used to estimate prevalence ratios and their respective 95% confidence interval for the association between discrimination and independent variables. RESULTS: Prevalence of any perceived discrimination among Brazilian older adults was 16.8%. Regardless the place of residence (either urban or rural), participants reported health care settings as the most common domain where discriminatory experiences occurred and the work place as the least common. According to the adjusted model, perceived discrimination was significantly higher among urban dwellers when compared to their rural counterparts, independent of sociodemographic characteristics, health status and neighborhood social environment. The outcome was significant associated with skin color, education and health status. CONCLUSIONS: Urban environment plays a core role in perceived discrimination and health care settings constitute the most common domain where discriminatory experiences occurred. Our findings may contribute to fulfill the knowledge gap on discrimination among older adults living in developing countries.

The influence of climatic conditions on hospital admissions for asthma in children and adolescents living in Belo Horizonte, Minas Gerais, Brazil. / Influência do clima nas hospitalizações por asma em crianças e adolescentes residentes em Belo Horizonte, Minas Gerais, Brasil.

Limited research exists on the influence of climatic conditions on the risk of hospital admission for asthma in Minas Gerais, Brazil. The objectives of this article are: a) to evaluate the influence of climatic conditions on hospital admissions for asthma and lower respiratory tract infections (LRTIs) among children and adolescents living in Belo Horizonte during the period 2002 to 2012 and identify epidemic peaks of admissions for asthma; b) to compare local seasonal patterns of admissions for asthma and LRTIs. Using hospital admission data stratified by aged group, regression analysis was performed to determine the relationship between the variables. Epidemic peaks were identified using an ARIMA model. There was an increase in admissions for asthma with an increase in relative humidity after rainy periods; admissions for bronchiolitis were associated with low levels of maximum temperature and rainfall. Rainy periods can lead to an increase in indoor and outdoor humidity, facilitating fungal proliferation, while cold periods can lead to an increase in the spread of viruses.