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| Author(s): |
Cíntia Honório Vasconcelos
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC/SBD) |
| Defense date: | 2004-04-15 |
| Examining board members: |
Evlyn Márcia Leão de Moraes Novo;
Maria do Carmo Calijuri;
Marília Sá Carvalho;
Antonio Miguel Vieira Monteiro
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| Advisor: | Evlyn Márcia Leão de Moraes Novo |
| Abstract | |
Malaria is the most important tropical disease in the world. In many countries, specially in the African continent, malaria is responsible for huge economical losses with medical bills and absenteeism. Malaria risk relates to environmental change derived from road construction, mining activities, agriculture and irrigation mainly in forested areas such as Amazon region and southern Asia. Among the causes explaining the spread of this endemic disease in the world, one can include climatic changes, healthy service breakdown and migration. At malaria endemic areas, larva and mosquito monitoring is highly important for disease control. New tools however are needed such as remote sensing and geographical information system in epidemic areas. These techniques have been responsible for reducing the time and cost of epidemiological researches, since they are used in a regional scale for assessing environmental disturbance apt to spreading of malaria vectors. Due to the threat of malaria in the Amazon region, this research aims to understand the relationship between land use changes induced by UHE-Tucuruí construction and the spatial distribution of malaria incidence in the region. LANDSAT5-TM and RADARSAT-SAR images were used respectively for land use mapping at Tucuruí, Novo Repartimento and Jacundá municipality and for monitoring the seasonal variation of UHE Tucuruí reservoir flooded area. A historic series of malaria data acquired for the National Health Foundation between 1992 and 2001 was also used. These data were integrated and analyzed with the aid of the SPRING 3.6 software. It was determined that Novo Repartimento and Tucuruí with large areas bounded by the reservoir are more prone to malaria incidence and that the time change in the disease in this region is related to the hydrology and reservoir operation, as well as with the precipitation and population dynamic. (AU) | |