Introduction: In Brazil, there are approximately 370,000 asthma-related hospitalizations per year, representing the fourth leading cause of hospitalizations in public health services. In 2007, 157,000 elderly patients were hospitalized, 2.3% of which due to asthma in the Brazilian Amazon. The rate of hospitalizations during the dry season was as much as three times that of the rain and intermediate seasons, with the highest rates in Rondônia (5.8 ‰) and Mato Grosso (3.3 ‰). Conclusion: Asthmarelated hospital admissions in the elderly presented a declining trend and a significant seasonal variation, with the highest rate of hospitalizations observed during the dry season.

This study aimed at identifying areas that were at risk of mortality due to cardiovascular disease in residents aged 45 years or older of the cities of Cuiabá and Várzea Grande between 2009 and 2011. We conducted an ecological study of mortality rates related to cardiovascular disease. Mortality rates were calculated for each census tract by the Local Empirical Bayes estimator. High- and low-risk clusters were identified by retrospective space-time scans for each year using the Poisson probability model. We defined the year and month as the temporal analysis unit and the census tracts as the spatial analysis units adjusted by age and sex. The Mann-Whitney U test was used to compare the socioeconomic and environmental variables by risk classification. High-risk clusters showed higher income ratios than low-risk clusters, as did temperature range and atmospheric particulate matter. Low-risk clusters showed higher humidity than high-risk clusters. The Eastern region of Várzea Grande and the central region of Cuiabá were identified as areas at risk of mortality due to cardiovascular disease in individuals aged 45 years or older. High mortality risk was associated with socioeconomic and environmental factors. More high-risk clusters were observed at the end of the dry season.

Hematological parameters of the red cell series and blood iron homeostasis had seasonal variation, which coincided with the dry season in the region, in which an increase in atmospheric pollutants derived from fires is observed.

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