The topic for this lecture was an article my colleagues and I published in 2018, Exploring trajectories of comorbid depression and physical health.
My presentation was organised as follows:
2. Second, I provided a summary of how the tools of case-based complexity can be used to model such complexity. And how this approach is an advance over current method.
3. Third, I explored how we used case-based complexity to arrive at novel insights into the dynamics of depression and co-morbid physical health and the profile of social and psychological determinants that helps to explain these dynamics.
4. I ended by showing how COMPLEX-IT can be used to conduct a similar analysis of co-morbid depression and physical health. COMPLEX-IT is a mixed-methods online R-studio software package that my colleagues and I developed for employing a case-based complexity approach. Written and video tutorials on how to use COMPLEX-IT can be found by clicking this link.
CLICK HERE to download our recent publication summarising how COMPLEX-IT works.
Click here for an INSTRUCTIONAL VIDEO on how to use COMPLEX-IT for modelling policy data. Specifically, the video discussed how we modelled COVID-19 trends for the North East of England Spring 2020 for the local councils and the NHS. COVID-19 EXAMPLE FOR LONGITUDINAL CLUSTERING OF DYNAMIC TRENDS.
CLICK HERE to download a copy of our article using case-based complexity to study allostatic load.
CLICK HERE to download a copy of the SpringerBrief book we wrote applying case-based complexity to a public health study in the midwest in the United States.
CLICK HERE for addtional papers on case-based complexity, the SACS Tookit and COMPLEX-IT.