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Spatio-temporal model for predicting the concentration of fine particulate matter (PM 2.5) in metropolitan area of São Paulo

Grant number: 16/09411-1
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): March 01, 2017
Effective date (End): June 30, 2020
Field of knowledge:Interdisciplinary Subjects
Principal researcher:Paulo Hilário Nascimento Saldiva
Grantee:Aline Santos Damascena
Home Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:13/21728-2 - The use of modern autopsy techniques to investigate human diseases (MODAU), AP.TEM


Spatial-temporal patterns of atmospheric particulate matter (PM) are known to be an important factor to predict some poor health outcomes of inhabitants in a urban area. In general, the number of monitoring centers measuring PM in a certain region is less than what is needed to reach the appropriate resolution. Statistical models for data such as Aerosol Optical Depth (AOD) and Land-Use variables are used to fill in the gap. Our objective is to develop models that allow the estimation of PM concentration with the desirable resolution and to use the results to evaluate the impact on health outcomes of people living in the metropolitan area of São Paulo, Brazil. We intend to collaborate with investigators from the Harvard School of Public Health who have experience in High resolution AOD retrievals.

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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)
DAMASCENA, ALINE SANTOS; YAMASOE, MARCIA AKEMI; MARTINS, VITOR SOUZA; ROSAS, JORGE; BENAVENTE, NOELIA ROJAS; SANCHEZ, MACIEL PINERO; TANAKA, NELSON ITHIRO; NASCIMENTO SALDIVA, PAULO HILARIO. Exploring the relationship between high-resolution aerosol optical depth values and ground-level particulate matter concentrations in the Metropolitan Area of SAo Paulo. Atmospheric Environment, v. 244, JAN 1 2021. Web of Science Citations: 0.

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