All are invited to the CEDAR/MRC Epidemiology Seminar:

Applications of geospatial data and methods in environmental epidemiology.

S.M. Labib, Department of Geography, School of Environment, Education and Development (SEED), University of Manchester.

MRC Epidemiology Unit meeting rooms 1 and 2, Institute of Metabolic Science, Cambridge Biomedical Campus.

Download slides of S.M. Labib‘s presentation.

Abstract

Geospatial data and methods are widely integrated with environmental epidemiology and public health research. This talk explores the applications of spatial data and methods in research on environmental epidemiology in urban areas. It provides case studies on the availability and applications of spatial data (e.g., satellite and drone images) and modelling approaches (e.g., coupling systems, machine learning) used to identify and understand environmental patterns and processes. Then, it explores how spatial dimensions (e.g., data-resolution, scale) influence the relationships between environment and health outcomes and discusses emerging approaches used to apply spatial data and methods when focusing on urban greenspace and health.

About S.M. Labib

S.M. Labib is a final year PhD student at the University of Manchester (UoM). Labib’s multidisciplinary academic background encompasses quantitative geography, urban planning, and environmental sciences. He completed MSc in Geographical Information Science from the UoM. Before that, he obtained a BSc in Urban and Regional Planning from Bangladesh University of Engineering and Technology, with a specialisation in sustainable urban transportation and emission modelling. His PhD research focused on environmental health issues, Labib is developing new approaches to model green space exposure using innovative geospatial methods and big-spatial data.

Website: www.smlabib.com

Twitter: @smlabib

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