Principles of environmental epidemiology, with a focus on the short-term and long-term health effects of air pollution.

Online, weekly sessions

Lecturer: Dr Massimo Stafoggia

This course is for anyone wanting to learn the principles of environmental epidemiology. It will cover the most relevant topics and innovative methodologies, and practical applications in R.

Course dates (sessions run 3.30 – 5.00pm):

1.            Thurs 16 November

2.            Tues 21 November

3.            Thurs 30 November

4.            Weds 6 December

5.            Thurs 14 December

Pre-requisites: Knowledge of basic statistics and regression models, basic knowledge of R (codes will be provided).

Online, Tuesdays 3 – 31 October 2023, 9am – 1pm

Course leaders: Meredith Martyn and Dr Giorgio Di Gessa

This course provides an introduction to statistics in health and the social sciences which is taught in pre-recorded lecture format, and a pre-set computer exercise where you will learn to use Stata syntax to interrogate a dataset, undertake management and manipulation of large complex data (such as recode variables, create new variables, and combine several datasets), and conduct simple statistical analyses (t-tests, ANOVA, correlation, chi-square test, and simple linear regression).

            Session 1: Descriptives and the Normal Distribution

            Session 2: Inference, Confidence Intervals, and Hypothesis testing

            Session 3: T-test and ANOVA

            Session 4: Chi Square test and correlation

            Session 5: Intro to linear regression

On completion of this course, students will:

• Understand the concepts behind basic descriptive and inferential statistics for social science research, and how to interpret these statistics
• Understand the principles of correlation, t-tests, chi-square and regression in social science research, and how to interpret these tests
• Demonstrate competence in a basic level of data manipulation using Stata to prepare social science datasets for statistical analysis
• Demonstrate competence in the use of Stata to interrogate social science datasets using descriptive statistics and commonly used statistical tests
• Understand how complex social science large scale datasets are structured and the implications of this

We recently launched advanced notice of our first Network Annual Conference, a one-day conference in Birmingham on October 5th 2023 exclusively for members of the Health Equity Network. The intention is to give Network members the opportunity to engage with each other and to hear input from and discussion between, leaders in the field of health equity. We look forward to welcoming members from across the whole of the UK.

Speakers include:

• Professor Sir Michael Marmot, Director at the Institute of Health Equity
• Dr. Jessica Allen, Deputy Director at the Institute of Health Equity
• Professor Dr Kevin Fenton, Regional Director for London in the Office for Health Improvement and Disparities and President of the Faculty of Public Health
• Dr Bola Owolabi, GP and Director of Health Inequalities at NHS England
• Pete Gladwell, Group Social Impact and Investment Director at Legal & General Capital
• Dr. Justin Varney, DPH of Birmingham
• Deborah Cadman OBE, CEO of Birmingham City Council

There will also be workshops on specific health equity themes such as children and young people, racism, investing and health equity. There will be an invitation to Network members to run a couple of workshops on themes of their
choosing. There will also be the option to bring posters of current health equity work to display in our event space
during open Networking time.