A contribuição da geomática na geografia da saúde sob uma abordagem da Teoria Geral de Sistemas.

• Autor(a) principal: Magalhães, Mônica de Avelar Figueiredo Mafra
• Data de Publicação: 2008
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/10850
• topic: Computer Engineering; Geomatics; General Theory of System; Health Geography; Engenharia da Computação; Geomática; Geografia da Saúde; Teoria Geral de Sistemas; CNPQ::ENGENHARIAS

The collection of Geomatics techniques has been a powerful allied to support space data decisions and handling. Last decade, it almost became essential to human and natural resources management. For health, Geomatics has made feasible some researches, such as: analyses about patients distribution, epidemics occurrence variation, vector tracking, assessment about emergency or catastrophic situations in real time, among others. The association between Medicine and Geography is old. The association between health and spacialization of diseases may consider the physical structure of geographic space from characterization of each system s component part as the systemic perspective spreads in General System Theory seeing that the population is part of geographic space which occur some health disorders. Therefore, these facts are the importance of this research that was developed in Baixada de Jacarepaguá, Rio de Janeiro. This place has approximately 295 Km2 and it is compounded by 19 neighborhoods which have an estimate of 682000 inhabitants. The research intended to structure a methodology to insert Geomatics techniques into practice of health data analyses, supported by General System Theory, aiming to contribute in the process of environmental monitoring in health which allows a prognosis about situations of risks of certain population. The basic mapping that supported this study was built by topographic charts of DSG on the scale 1:50000. From these charts, planimetry details were taken off and also altimetry information that were used in the development of digital terrain model (DTM). With DTM, the slope mapping by percentage was done and it allowed the creation of compartments in five classes for subsequent generation of thematic maps with health data. The data of this study were found in health information systems released by the Ministry of Health. The analyzed disease was leptospirosis. And its cases were located from addresses of residence. The hypothesis raised here was the existence of high correlation among component parts represented by physical structure of space and the occurrence of leptospirosis. By the results, it was proved the void hypothesis because diseases only happen in areas which are associated with plain area of the coastal bas of Jacarepaguá and the suave hillside of the hillock, both in subsystem coastal bas. It demonstrates that in terms of leptospirosis, an absence of population exists at this space component in areas of major steepness.