Objective: Considering the scarcity of reports from intertropical latitudes and the Southern Hemisphere, we aimed to examine the association between meteorological factors and suicide in São Paulo. Method: Weekly suicide records stratified by sex were gathered. Weekly averages for minimum, mean, and maximum temperature (°C), insolation (hours), irradiation (MJ/m2), relative humidity (%), atmospheric pressure (mmHg), and rainfall (mm) were computed. The time structures of explanatory variables were modeled by polynomial distributed lag applied to the generalized additive model. The model controlled for long-term trends and selected meteorological factors. Results: The total number of suicides was 6,600 (5,073 for men), an average of 6.7 suicides per week (8.7 for men and 2.0 for women). For overall suicides and among men, effects were predominantly acute and statistically significant only at lag 0. Weekly average minimum temperature had the greatest effect on suicide; there was a 2.28% increase (95%CI 0.90-3.69) in total suicides and a 2.37% increase (95%CI 0.82-3.96) among male suicides with each 1 °C increase. Conclusion: This study suggests that an increase in weekly average minimum temperature has a short-term effect on suicide in São Paulo.

OBJECTIVES: To investigate the associations between changes in indicators of health-related resources and coverage, and variations in infant mortality rates (IMR) in Brazil's 27 states in 2000 and 2005. METHODS: Data were obtained from the Ministry of Health's online database, DATASUS. Stepwise multiple regressions were performed to model changes in IMR and its components (early, late, and post-neonatal mortality), using changes in the selected health indicators as predictors. RESULTS: Regression analysis showed that improving access to prenatal care (B = -0.89 per 1 000; P < 0.001), increasing public expenditure on health as a proportion of gross domestic product (GDP) (B = -0.72 per 1 000; P = 0.031), and increasing access to the water supply (B = -0.22 per 1 000; P = 0.033) were associated with significant reductions in IMR. Declining early neonatal mortality rates were associated with prenatal care (B = -0.14 per 1 000; P = 0.026) and access to sanitation services (B = -0.05 per 1 000; P = 0.026). Reductions in late neonatal mortality rates were associated with prenatal care (B = -0.12 per 1 000; P = 0.003) and inversely correlated to the rate of cesarean deliveries (B = 0.13 per 1 000; P = 0.005). Post-neonatal mortality rate reductions were associated with prenatal care (B = -0.64 per 1 000; P < 0.001), increasing public expenditure on health as a proportion of GDP (B = -0.76 per 1 000; P = 0.005), and access to the water supply (B = -0.17 per 1 000; P = 0.037). CONCLUSIONS: Improving access to prenatal care, increasing public expenditure on health, and access to sanitation and water supply were all independently correlated to declining IMR; however, higher rates of cesarean deliveries were associated with higher late neonatal mortality rates. Continuous collection and analysis of relevant health indicators is recommended for developing evidence-based health policies and accurate predictions of how specific public health interventions might impact IMR.

OBJETIVOS: Investigar las asociaciones entre los cambios en los indicadores de recursos y cobertura relacionados con la salud y las variaciones en las tasas de mortalidad infantil (TMI) en los 27 estados de Brasil entre los años 2000 y 2005. MÉTODOS: Los datos se obtuvieron de la base de datos en línea del Ministerio de Salud, DATASUS. Mediante regresión múltiple paso a paso se modelaron los cambios en la TMI y sus componentes (mortalidades temprana, tardía y posneonatal), utilizando como predictores los cambios en indicadores seleccionados de salud. RESULTADOS: Según el análisis de regresión, el mejoramiento del acceso a la atención prenatal (B = -0,89 por 1 000; P < 0,001) y al suministro de agua (B = -0,22 por 1 000; P = 0,033), y el aumento del gasto público en salud como proporción del producto interno bruto (PIB) (B = -0,72 por 1 000; P = 0,031) se asociaron con reducciones significativas de las TMI. Las reducciones de las tasas de mortalidad neonatal temprana se asociaron con la atención prenatal (B = -0,14 por 1 000; P = 0,026) y el acceso a servicios de saneamiento (B = -0,05 por 1 000; P = 0,026). Las reducciones en las tasas de mortalidad neonatal tardía se asociaron con la atención prenatal (B = -0,12 por 1 000; P = 0,003) e, inversamente, con la tasa de partos por cesárea (B = 0,13 por 1 000; P = 0,005). Las reducciones en las tasas de mortalidad posneonatal se asociaron con la atención prenatal (B = -0,64 por 1 000; P < 0,001), el aumento en el gasto público en salud como proporción del PIB (B = -0,76 por 1 000; P = 0,005) y el acceso a fuentes de agua (B = -0,17 por 1 000; P = 0,037). CONCLUSIONES: El mejoramiento del acceso al cuidado prenatal, el incremento del gasto público en salud y el acceso al saneamiento y a fuentes de agua se correlacionaron independientemente con la reducción en las TMI; mayores tasas de partos por cesárea se asociaron con mayores tasas de mortalidad neonatal tardía. Se recomienda mantener la recolección y el análisis de los indicadores de salud relacionados con la TMI para desarrollar políticas de salud basadas en evidencias y elaborar predicciones precisas de cómo pueden intervenciones específicas en salud pública influir en las TMI.