Challenge background
Self-harm in Children and Young Persons (CYP) aged between 10-24 increased during the Covid pandemic (ONS 2022). More broadly the incidence of mental health conditions in the CYP population has increased from 1-in-9 pre-pandemic to 1-in-6. As such the most recent Global Burden of Disease study published in the Lancet (2022) recommended urgent policy action to address this crisis. Data indicates young girls/adults are particularly vulnerable. A 2018-20 study of ambulance data in wales indicates only 63% of ambulance call-outs related to mental health conditions actually presented to an A&E department. Only 23% of those presenting to A&E were actually admitted. Does this highlight the tip of the iceberg?
Project timeline
- 1
Week 1
– Brainstorm social media sources, e.g. - Hashtag, keyword extraction etc - map: London Inner Boroughs
- 2
Week 2
– Exploratory Data Analysis(Topic Modelling) -text data preprocessing
- 3
Week 3
-ID Sentiment Analysis Models - Fine Tune & compare models
- 4
Week 4
-Topic Classification model based on Self-Harm Injuries.
What you'll learn
Project Output Project team envisage a set of time-series sentiment scores by topic where the central theme is eating disorder mapped to Central and Northwest London ambulance call-out data for self-harm/injury.