Exploring trajectories of comorbid depression and physical health -- Centre for Urban Mental Health and IAS Lecture University of Amsterdam

I want to thank the Centre for Urban Mental Health and

Prof. dr. C. L. (Claudi) Bockting, as well as the Institute of Advanced Study at the University of Amsterdam for the opportunity to lecture and to be a fellow during the 2021-2022 year.

The topic for this lecture was an article my colleagues and I published in 2018, Exploring trajectories of comorbid depression and physical health. 

CLICK HERE FOR A COPY OF THE PAPER

CLICK HERE FOR A PDF OF THE POWERPOINT PRESENTATION

My presentation was organised as follows:

1. First, I introduced the challenge of modelling co-morbid depression and physical health across time and linking that temporal co-evolution to a profile of key social and psychological determinants. 

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.

ADDITIONAL RESOURCES

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. 

CLICK HERE for a link to an R Shiny App we developed Spring 2020 to intially model COVID-19 trends in the North East of England based on trends taking place two to three weeks earlier in the provinces of Italy.