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Abstract

Hazel is deputy director of the MRC Lifecourse Epidemiology unit and
professor of statistical epidemiology at the University of Southampton.

Since 1998, she has run the Southampton Women’s Survey (SWS). This is an unusual cohort study in which women were recruited when not pregnant, those who subsequently became pregnant were followed through their pregnancy, and the children are being followed up; the 17-19 year follow-up is currently being piloted. The SWS has provided information leading her to work with others on a range of interventions before and during pregnancy to improve children’s health and development.

Prior to working in Southampton, Hazel was at the London School of Hygiene and Tropical Medicine from 1979-1986 and then at the MRC Laboratories in The Gambia from 1986-1991. Throughout her career, she has worked mainly on large cohort and intervention studies.

Forthcoming events

Richard Doll Seminar: Design and analysis of prevalence surveys in low-resource settings

Tuesday, 25 February 2020, 1pm to 2pm @ Richard Doll Lecture Theatre, Richard Doll Building, Old Road Campus, OX3 7LF

WEH/Ethox Seminar

Wednesday, 26 February 2020, 11am to 12.30pm @ Seminar room 0, Big Data Institute, Old Road Campus, OX3 7LF

HERC Seminar: Learning healthcare systems for cost-effective precision oncology.

Thursday, 27 February 2020, 12pm to 1pm @ Seminar room 0, Big Data Institute, Old Road Campus, OX3 7LF

The Global Response to the Novel Coronavirus (SARS-CoV-2) Outbreak

Thursday, 27 February 2020, 2.30pm to 4pm @ Seminar rooms, Big Data Institute

Richard Doll Seminar: The Risk of Everything – using linked electronic health records to develop and validate risk prediction tools for use in clinical care

Tuesday, 03 March 2020, 1pm to 2pm @ Richard Doll Lecture Theatre, Richard Doll Building, Old Road Campus, OX3 7LF

WEH/Ethox Seminar: Building research capacity through North-South Partnerships: some ethical reflections and a social justice agenda

Wednesday, 04 March 2020, 11am to 12.30pm @ Seminar room 0, Big Data Institute, Old Road Campus, OX3 7LF