Dr Mark Pritchard
MBChB MA MSc MFPH
DPhil Student in Clinical Medicine
- Specialty Registrar in Public Health
I started my DPhil [PhD] in 2021, funded by the National Institute for Health and Care Research (NIHR) Health Protection Research Unit in Emerging and Zoonotic Infections. Many public health decisions need to be made with imperfect evidence. I am interested in using mathematical models and observational data to generate the most robust public health information possible. I am approaching this through the question of optimal timing of repeat vaccination against covid-19 for healthcare workers.
I joined the Thames Valley public health programme in 2017. When the covid-19 pandemic started in 2020 I moved to split my time between working with the local Public Health England (now UK Health Security Agency) health protection team and helping the research effort via the International Severe Acute Respiratory and emerging Infection Consortium. The early months of the pandemic made clear the importance of reaching valid conclusions from imperfect observational data. After a brief return to a local authority public health team to work on local implementation of rapid testing for covid-19, I started my PhD in the summer of 2021.
Symptom‐based case definitions for COVID‐19: Time and geographical variations for detection at hospital admission among 260,000 patients
Baruch J. et al, (2022), Influenza and Other Respiratory Viruses, 16, 1040 - 1050
An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients.
Gonçalves BP. et al, (2022), eLife, 11
Symptom-based case definitions for COVID-19: time and geographical variations for detection at hospital admission among 260,000 patients
Group ISARICCC. et al, (2022)
An international observational study to assess the impact of the Omicron variant emergence on the clinical epidemiology of COVID-19 in hospitalised patients
Gonçalves BP. et al, (2022)
Prospective validation of the 4C prognostic models for adults
hospitalised with COVID-19 using the ISARIC WHO Clinical Characterisation
Knight SR. et al, (2022), Thorax, 77, 606 - 615