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Theses

Modélisation et identification de facteurs environnementaux géographiques liés à des risques morbides : Application aux séquelles développées après le traitement d'une leucémie : Cohorte LEA

Abstract : This thesis is an interdisciplinary approach combining Geography, Epidemiology and Statistics. It is a methodological thesis applying to a public health issue. The concept consist in developing a dialectical adapted to the geographic health and proposing or transposing probabilistic methods, geostatistical and datamining instruments, to model and to identify geographic environmental factors related to morbid risks. In this research the environment is considered in its integrity. It is described by spatiotemporal indicators: physicochemical, health and socioeconomic. The geographical environment of the individual and medical characteristics of targeted populations is also taken into account. Heuristic proposals aim to identify environmental health determinants, or contributing risk factors. The methods have been implemented or adapted to the issue. They are applicable and reproducible in all diseases studied in Geographic Health. In order, to illustrate these proposals, they are applied to squeals observed following the treatment of childhood leukemia - Cohort LEA. In developed countries, access to effective treatments leads to an increase of squeals incidence. Those have an impact on the quality of life. Therefore, post-cancer and children's health have positioned themselves at the core of social concerns in Europe and in France. Beyond the scientific goals, contributions in public health are expected. The idea is to provide operational space indicators to politicians in order to help them to take collective health measures. And for health professionals to be able to offer individual medical solutions, devoted to reduce the risk of exposure to environmental factors of the populations due to their geographical location. In consequence, to improve access to a good environmental health.
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Submitted on : Tuesday, June 28, 2016 - 1:39:08 PM
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  • HAL Id : tel-01338331, version 1

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Stéphane Bourrelly. Modélisation et identification de facteurs environnementaux géographiques liés à des risques morbides : Application aux séquelles développées après le traitement d'une leucémie : Cohorte LEA. Histoire. Université Nice Sophia Antipolis, 2014. Français. ⟨NNT : 2014NICE2026⟩. ⟨tel-01338331⟩

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