Análise preliminar das variáveis meteorológicas sobre casos de internações hospitalares nas capitais nordestinas

Abstract

This work aims to contribute information that can be used to reduce the health impacts associated with the effects of exposure of meteorological variables. Tables were prepared for analysis of the relationship between each weather variable and the number of hospital admissions. Then we performed the calculation of Pearson correlation coefficients (r) and then coefficient of determination (r²). Using data from the IBGE, we obtained a ratio of infectious and number of inhabitants, the greater was 0.049 in Teresina. Ratio of respiratory and number of inhabitants, the greater was 0.056 in St. Louis. The variable r was 0:03 to 0:32 on respiratory diseases and precipitation. The variable r, ranged 0:09 to 0:49, between respiratory diseases and maximum temperature. The variable r ranged from 0.03 to 0.62 between minimal temperatures and respiratory diseases. The variable r ranged 0:07 to 0:57, relating relative humidity and respiratory diseases. The variable r, ranged from 0 to 0.52, on infectious diseases and subsequent precipitation accumulated. The variable r, 0:04 to 0:41 varied between maximum temperature and infectious diseases. The variable r, 0:02 to 0:27 varied between the minimum temperature and infectious diseases. The variable r ranged 0:05 to 00:43 on humidity and infectious diseases.