Bachelor in Economics from FEA/USP, Ph.D. in Public Health from FSP/USP and was a postdoctoral researcher at Harvard University. Associate Professor at the Department of Epidemiology of FSP/USP and the director of the Laboratory of Big Data and Predictive Analysis in Healthcare (Labdaps). Research area: public health, with emphasis in health statistics and machine learning. (Source: Lattes Curriculum)
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The School of Public Health (FSP) of the University of São Paulo discussed the application of the Technical Reserve for Institutional Infrastructure of FAPESP 2020 in its internal Research Committee and in its other appropriate instances. It was decided that, due to the current situation categorized by the covid-19 pandemic and the other demands brought by the large amount of data ("big d…
Recent advances in computational capacity and the availability of large datasets have stimulated the application of predictive methods from artificial intelligence, known as machine learning. In healthcare, mortality prediction can help improve decisions about preventive care, the necessity and intensity of medical care and to set priorities for hospitalization. We will analyze the result…
Mental disorders have been growing in importance and are now one of the leading causes of morbidity and incapacity, especially in large urban areas. This project aims to identify and analyze the social determinants of mental disorders in the ten megacities (cities with more than 10 million inhabitants) of the World Mental Health Survey Initiative (WMHSI): New York City, Los Angeles, Shang…
(Only some records are available in English at this moment)
Hypertension (AH) is a multifactorial clinical condition characterized by sustained elevation of blood pressure levels e 140 and/or 90 mmHg. In the pediatric population, according to the European Society of Hypertension Guidelines for Children and Adolescents (2016), the increased prevalence of hypertension in this public has become a major public health issue, leading a significant amoun…
The epidemiologic transition observed in Brazil in recent decades has led to a swift increase in the number of elderly individuals and their causes of morbidity and mortality. Currently, chronic diseases, particularly cardiovascular diseases, are responsible for the majority of deaths and hospitalizations in the country. Objective: To perform a longitudinal analysis of the risk factors fo…
Introduction: Most countries are going through a process of demographic transition, resulting in an increase of their elderly population. European countries experienced economic development before population aging. On the other hand, Brazil's elderly population growth happened within a low income environment. The elderly are more vulnerable to chronic diseases but also accidents such as f…
Local presence of low income has been constantly associated with worst health in a variety of settings. On the other hand, the effect of income inequality on health has been so far inconclusive. The present study aims to test the association between income inequality (measured by the Gini coefficient) and health in the Municipality of São Paulo, by analyzing a sample of elderly residents.…
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| 10 / 8 | All research grants and scholarships |
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CV Lattes
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