Epidemiological modelling: New lessons from the COVID-19 pandemic

Related content

• Research output

• COVID: how incorrect assumptions and poor foresight hampered the UK's pandemic preparedness

  Research output: Non-textual form › Blog Post

• Predicting critical care needs during a pandemic

  Research output: Contribution to journal › Special issue › peer-review

• Hospitals are near their limits – computer models can help keep their doors open

  Research output: Contribution to specialist publication › Article

• Collaborative critical care prediction and resource planning during the COVID-19 pandemic using computer simulation modelling: future urgent planning lessons

  Research output: Contribution to journal › Article › peer-review

• Activities

• The challenges of COVID-19 modelling: six weeks in March-April 2020

  Activity: Talk or presentation types › Invited talk

• Causal modelling of the COVID-19 pandemic

  Activity: Talk or presentation types › Invited talk

• COVID-19 logistics modelling

  Activity: Talk or presentation types › Invited talk

• Epidemiological modelling: Lessons from the early stages of the COVID-19 pandemic

  Activity: Talk or presentation types › Invited talk

• Computational intelligence for COVID-19 modelling

  Activity: Talk or presentation types › Invited talk

• COVID-19 bed modelling for NHS Lanarkshire

  Activity: Consultancy types › Consultancy

• Responding to COVID-19: A Collaborative Approach

  Activity: Talk or presentation types › Invited talk

• Public Health Scotland (External organisation)

  Activity: Membership types › Membership of network

• Impacts

• Improved patient outcomes through evidence-based decisions by Scottish and global health organisations

  Impact: Impact - for External Portal › Health and welfare - new products, guidelines and services

• Projects

• COVID-19 EWS development for NHS Lanarkshire

  Project: Knowledge Exchange (Services/Consultancy)

• Support for Discrete Event Simulation 2019-20

  Project: Research

• PhD Studentship for Chandrava Sinha

  Project: Research - Studentship