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Human health and adaptation to climate change in Brazil: a data science approach


Climatic change and extreme events can interfere with the health, well-being and outcome of diseases in humans. Thus, this proposal aims to determine if and how climate change affect health parameters in the city of Campinas, São Paulo, Brazil, with a special focus on the effects of extreme climatic conditions and their relationship with disease states. We will evaluate the results of clinical and laboratory exams and epidemiological data from population samples from public health services and also epidemiological data available in the Information System of the Unified Health System. To this end, we propose the use of the Data Science approach to confront changes in clinical variables and also to be able to propose climate models associated with the unfavorable results expected for health. We anticipate that the main contributions of this study will be: a) Provide adequate unification, storage and access to existing databases currently disseminated in different centers; b) Advance current regional knowledge regarding the impacts of climate change on the morbidity and mortality of cardiovascular, respiratory, hematological and oncologic diseases; c) Present predictive climate models capable of indicating current and future preventive health measures; d) Promote the insertion of public health guidelines in the application of mitigation policies, through clear warnings that accelerate governmental decision-making processes; e) Provide specific visualization tools for climate and health events, favoring new local and regional studies in Brazil and to understand pathophysiological and adaptive mechanisms to climate stress. (AU)

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