Análise da relação entre doenças do CID-10 (diarreias e micoses) com as condições de saneamento ambiental no Estado do Rio Grande do Sul - Brasil

Abstract

The unequal distribution of sanitation between different cities results in diseases associated with different population groups. Forward and this is the objective of this work, to identify an existing relationship between hospital admissions for drugs and diarrhea and basic and environmental sanitation conditions in the municipalities of Porto Alegre, Canoas, Caxias do Sul, Santa Maria, Pelotas, without period from 2006 to 2014 , in the State of Rio Grande do Sul. To carry out the study, it is possible to collect data referring to occasional hospitalizations for diarrhea and ringworm, by local residence, originating from Datasus, linked to sanitation conditions. In the aforementioned data, we apply statistics related to Pearson's Correlation. As a result, when analyzing a disease relationship with sanitation indicators, he found a high number of hospitalization rates for studied diseases, as well as a significant correlation between the factors analyzed, with a high (-0.68), significant correlation for the daily disease and sewage and water supply indicators in the city of Porto Alegre, for a city of Canoas victims of high intensity (-0.74) correlation for diarrhea disease with the sewage indicator, and also regarding ringworm disease in Porto Alegre there is a high (-0.83) correlation for the water supply indicator. For other cities and their correlations with indicators, we did not observe a significant correlation in this study. So far, it has been possible to obtain targeted information on the environmental problems that cause certain diseases, and it is possible to realize that the probable cause of the cases found without significant negative correlation between the indicator and the disease is the fact that there may be problems regarding the lack of data on sanitation mainly in rural areas, therefore also in urban peripheral areas. Therefore, it is clear that the more specific identification of risk areas, adding data such as per capita income and education, is essential so that this direct relationship between inadequate sanitation and the precarious health of the most vulnerable population can be more clearly demonstrated and then predict the respective actions to be taken to reduce costs with investments in health and direct them to other non-preventable diseases and to the development of quality infrastructures in sanitation.