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1.
BMC Public Health ; 24(1): 1051, 2024 Apr 15.
Article En | MEDLINE | ID: mdl-38622585

BACKGROUND: The last decade saw the emergence of a new significant migration corridor due to the mass migration of Venezuelans to neighboring countries in South America. Since 2018, Brazil became the third host country of Venezuelan displaced populations. Little is known about how migratory processes affect needs, access to social programs, and public health services of migrant women. The goal of this study is to shed light on the socio-economic profile, living conditions, and use of health services of Venezuelan migrant women in two main reception cities in Brazil. METHODS: A survey was conducted using respondent-driven sampling (RDS) in the cities of Boa Vista (Roraima), and Manaus (Amazonas). The study included 2012 Venezuelan migrant women aged between 15 and 49 years old who migrated from Venezuela to Brazil between 2018 and 2021. Relative prevalence was calculated, and the χ2 test was used to analyse the homogeneity of proportions. All analyses considered the complex sampling. RESULTS: The main reasons for migrating relate to difficulties obtaining food (54%) and accessing health services (37.8%) in their country of origin. They were young and mixed race (65.7%) and had high school education (69.9%). In Manaus, 3.7% of the interviewees declared that they had no family income in the last month, while in Boa Vista, it was higher (66.2%) (p-value < 0.001). Almost one-third of them sought health care in the last 15 days, and 95% of them received care. The residents of Boa Vista arrived more recently and family income and access to paid work improved with time of residence in Brazil. CONCLUSIONS: Given the increasing flow of Venezuelan migrants crossing to Brazil, a reception system was established for the provision of food, shelter, access to health services, and income transfer programs to migrants. This was the case despite high unemployment and poverty levels and income inequality, particularly in the city of Boa Vista. However, the majority had legal migrant status and had access to the public and universal healthcare system in Brazil (SUS). The use of the SUS was similar in both cities, acting as a buffer for the differences in opportunities offered.


Social Conditions , South American People , Transients and Migrants , Female , Humans , Adolescent , Young Adult , Adult , Middle Aged , Socioeconomic Factors , Brazil/epidemiology , Venezuela/epidemiology , Health Services
2.
Cien Saude Colet ; 21(3): 731-42, 2016 Mar.
Article En | MEDLINE | ID: mdl-26960086

The North region is the second region in Brazil with the highest incidence rate of diarrheal diseases in children under 5 years old. The aim of this study was to investigate the relationship between rainfall and water level during the rainy season principally with the incidence rate of this disease in a southwestern Amazon basin. Rainfall estimates and the water level were correlated and both of them were correlated with the diarrheal incidence rate. For the Alto Acre region, 2 to 3 days' time-lag is the best interval to observe the impact of the rainfall in the water level (R = 0.35). In the Lower Acre region this time-lag increased (4 days) with a reduction in the correlation value was found. The correlation between rainfall and diarrheal disease was better in the Lower Acre region (Acrelândia, R = 0.7) and rainfall upstream of the city. Between water level and diarrheal disease, the best results were found for the Brasiléia gauging station (Brasiléia, R = 0.3; Epitaciolândia, R = 0.5). This study's results may support planning and financial resources allocation to prioritize actions for local Civil Defense and health care services before, during and after the rainy season.


Diarrhea/epidemiology , Rain , Brazil , Humans , Seasons , Urban Population , Water Movements
3.
Ciênc. Saúde Colet. (Impr.) ; 21(3): 731-742, Mar. 2016. tab, graf
Article En | LILACS | ID: lil-775768

Abstract The North region is the second region in Brazil with the highest incidence rate of diarrheal diseases in children under 5 years old. The aim of this study was to investigate the relationship between rainfall and water level during the rainy season principally with the incidence rate of this disease in a southwestern Amazon basin. Rainfall estimates and the water level were correlated and both of them were correlated with the diarrheal incidence rate. For the Alto Acre region, 2 to 3 days’ time-lag is the best interval to observe the impact of the rainfall in the water level (R = 0.35). In the Lower Acre region this time-lag increased (4 days) with a reduction in the correlation value was found. The correlation between rainfall and diarrheal disease was better in the Lower Acre region (Acrelândia, R = 0.7) and rainfall upstream of the city. Between water level and diarrheal disease, the best results were found for the Brasiléia gauging station (Brasiléia, R = 0.3; Epitaciolândia, R = 0.5). This study’s results may support planning and financial resources allocation to prioritize actions for local Civil Defense and health care services before, during and after the rainy season.


Resumo A região Norte é a segunda no Brasil com a maior taxa de incidência de doenças diarreicas em crianças menores de 5 anos. O objetivo deste estudo foi investigar a relação entre chuva e nível do rio, principalmente durante a estação chuvosa, com a taxa de incidência da referida doença em uma bacia no sudoeste da Amazônia. Estimativas de chuva e nível do rio foram correlacionadas e ambos correlacionados com a taxa de incidência da diarreia. Para a região do Alto Acre, 2 a 3 dias de defasagem é o melhor intervalo para observar o impacto da chuva no nível do rio (R = 0.35). Na região do Baixo Acre essa defasagem aumentou (4 dias) com redução na correlação. A correlação entre chuva e doenças diarreicas foi melhor na região do Baixo Acre (Acrelândia, R = 0.7) e a chuva rio acima da cidade. Entre o nível do rio e as doenças diarreicas, os melhores resultados foram encontrados para a estação de Brasiléia (casos em Brasiléia, R = 0.3 e Epitaciolândia, R = 0.5). Os resultados deste estudo podem dar apoio ao planejamento e alocação de recursos financeiros para priorizar ações para Defesa Civil e serviços de saúde antes, durante e depois da estação chuvosa.


Humans , Rain , Diarrhea , Seasons , Urban Population , Water Movements , Brazil
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