Exploratory study of correlations between extreme variations of meteorological parameters and hospitalizations and deaths due to cardiovascular diseases in Campinas, São Paulo

• Grant number: 20/10041-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2020
• End date: October 31, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Paula Dornhofer Paro Costa
• Grantee: Júlia Perassolli de Lázari
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The increase in the frequency and intensity of extreme weather events is considered one of the evidences and one of the most immediate effects of climate change on our planet. Such changes have a direct impact on human health. The study of the correlation between meteorological parameters and the occurrence of some diseases makes it possible to develop systems of resilience and adaptation to climate change, such as the development of health alert systems when the detection of an extreme weather event occurs. In this project, the objective is to study the correlation between extreme variations of meteorological parameters and hospitalizations and deaths associated with diseases of the circulatory system, through the analysis of meteorological and health databases in the city of Campinas. The KDD (Knowledge Discovery in Databases) model will be used as a data science guideline.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BELLA, THIAGO R.; DE LAZARI, JULIA P.; COROZOLLA, WELINGTON; DE OLIVEIRA, DANIELA S.; DE AVILA, ANA M. HEUMINSKI; DE FARIA, ELIANA C.; COSTA, PAULA D. PARO; ROMERO, E; COSTA, ET; BRIEVA, J; et al. How cold waves influence LDL cholesterol levels? A regional study for Campinas, Sao Paulo, Brazil. 17TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, v. 12088, p. 10-pg., 2021-01-01. (20/10041-0, 17/20013-0)