Introduction to Networks and Health Improvement - online

Description:

This introductory online course will provide students with an understanding of how social interactions may relate to health behaviour and outcomes, the approaches that can be used to study social network influences on health, and network approaches to improving health.

The course is aimed at those with no knowledge of network analysis but with an interest in population health, delivering community services or implementing health interventions. The course will focus on non-communicable disease e.g. mental health, health risk behaviours but not infectious diseases. The course focuses on patterns of relationships between individuals, and not on social media networks. 

The course covers: 

• The motivation for systems and network approaches to population health.

• Theories of relationships and health behaviour.

• Network terminology and concepts.

• Theories of intervening on networks 

• Collecting network data

• Options for analysing network data

• Applying concepts to your own research

• Examples of network interventions

By the end of the course participants will:

• Name and define the key concepts and terminology related to social networks
• Recognise and interpret the common social network approaches used in published health research and interventions
• Identify which network methods could be applied to their own health improvement topics or research areas of interest.

Format:

The course will run across three consecutive afternoons (1pm - 5pm) on 12th, 13th and 14th June 2024 and will equate to 1.5 days of training for payment purposes.

Presenters:

Mark McCann, Srebrenka Letina, Emily Long, Martin Anderson, Kirstin Mitchell, Sharon Simpson, Laurence Moore

The speakers are based in the MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, with backgrounds in Psychology, Sociology, Epidemiology, and Geography. The presenters have a wide range of expertise and interests in Networks and Health, including: schools health, substance use, obesity, mental health, healthy ageing, and intervention development. 

Cost:

The fee per teaching day is £35 per day for students / £75 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £250 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs. The University of Southampton’s Online Store T&Cs also continue to apply.

Website and registration:

Register for this course

Region:

International

Keywords:

Data Collection (other), Mixed Methods Data Handling and Data Analysis, Social Network Analysis, Health research, Health improvement interventions, Social network data collection

Related publications and presentations from our eprints archive:

Data Collection (other)
Mixed Methods Data Handling and Data Analysis
Social Network Analysis

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