Co-creator, survey designer for behavioural insights in the 29 country survey tracking COVID-19 related health behaviour, anxiety and depression symptoms, masks and vaccines, life satisfaction, with YouGov data, provided for the public good. Download the data from GitHub.
Download the reports series here.
Read here how The Economist interprets mask wearing in the dataset (pdf) or here on how the World Economic Forum views the importance of these behavioural insights for understanding of the effects of COVID (pdf).
Watch the speaking engagement at the World Health Organization Epidemic Information Network (EPI-WIN) where behavioural insights on COVID mask wearing is discussed:
RESEARCH FELLOW, DATA SCIENCE INSTITUTE
OTHER Collaborators & CO-authors:
Vikram Patel, Pershing Square Professor of Global Health, Harvard Medical School
Yi-Ke Guo, Professor of Computing Science, Imperial College London
Naomi Radcliffe, Head of Technology Policy, NHSx
Melanie Leis, Director - Big Data Analytics Unit (BDAU)
Roberto Crespo, Analytics Fellow, Big Data Analytics Unit (BDAU)
David Birch, Leader, Data Visualisation Group, Data Science Institute, Imperial College London
Workplace mental health training and Global COVID19 health policy behavioural compliance Institute of Global Health Innovation, Imperial College
Big data visualisations in the factorial analysis of risk factors and resource planning for non-public sector health providers, with the Data Observatory, a data visualisation hub and decision making space housed within the Data Science Institute at Imperial College
Technology acceptance of mHealth behaviour change interventions, the Institute of Global Health Innovation, Imperial College
mHealth global health policy and mental health at the Centre for Health Policy, Imperial College and Fellow of WISH, World Innovation Summit for Health
Using big data to understand emerging consumer psychological attitudes and preferences in health behaviour change.
Peer reviewer, Journal of Medical Internet Research (Impact Factor 4.945)
Selected Journals and News
Read more about Mental Health Intelligence study, mental health awareness for the workplace.
Download the article How Google's 'Ten Things We Know To Be True' Could Guide the Development of Mental Health Apps for free:
From 2011 to 2030, mental health conditions are projected to cost the global economy $16 trillion through lost labor and capital output. The gold standard of psychological interventions, one-on-one therapy, is too costly and too labor-intensive to keep up with the projected growth in demand for mental health services. Therefore, new solutions are needed to improve the efficiency of mental health care delivery and to increase patient self-care. Because 85 percent of the world’s population has wireless signal coverage, there is an unprecedented opportunity for mobile technologies to incorporate psychological self-care into people’s daily lives and relieve workforce shortages. In this article, we suggest that policy makers look to technology innovators for guidance. For example, Google’s principles, called “Ten Things We Know To Be True,” are useful for understanding the drivers of success in mobile technologies. For principles such as “focus on the user and all else will follow,” we identify examples of how evidence-based mobile mental health technologies could increase patient self-care and reduce the demand for one-on-one psychological intervention.
Read other articles about mHealth and mMental Health citing this work here.
Read more about my and the ICL Data Science Institute's contribution to understanding national mental health help seeking behaviour here.
et al., 2021, Protective Behaviors Against COVID-19 by Individual Vaccination Status in 12 Countries During the Pandemic, Jama Network Open, Vol:4, ISSN:2574-3805
et al., 2014, How Google's 'Ten Things We Know To Be True' Could Guide The Development Of Mental Health Mobile Apps, Health Affairs, Vol:33, ISSN:0278-2715, Pages:1603-1611