Using data to improve public health: COVID-19 secondment

Lead Research Organisation: King's College London
Department Name: Psychological Medicine

Abstract

During my secondment with the Centre for Longitudinal Studies (CLS), I will conduct research examining the impact of long covid on employment and income in the UK, and how COVID-19 has disproportionately affected some populations more than others.

In order to do this, I will analyse data from CLS's four national longitudinal cohort studies which follow tens of thousands of UK residents from birth and across their entire lives. Each of these four studies follows large, nationally representative groups of people born each year. CLS's oldest study charts the lives of a group of Baby Boomers born in the late 1950s, while the most recent cohort assesses a group of those born at the turn of the new century. During the pandemic, CLS have conducted an additional COVID-19 survey in all four of these cohort studies as well as participants in the National Survey of Health and Development. The aim of this COVID-19 survey is to understand the economic, social and health impacts of the COVID-19 crisis, the extent to which the pandemic is widening or narrowing inequalities, and the lifelong factors which shape vulnerability and resilience to its effects.

My role, as part of the multi-institutional National Core Studies?Longitudinal?Health and Wellbeing initiative, is to utilise CLS cohort data to conduct studies focusing on i) COVID-19 severity and employment/income disruption and ii) Socioeconomic, demographic and geospatial determinants of COVID-19 infections. Both studies draw together data from multiple UK studies and electronic health records. Such research is crucial given that both the COVID-19 virus and subsequent lockdown and furlough measures have led to a drastic change in the daily lives of the UK population. Understanding how people's health, economic activity and social lives continue to evolve has considerable policy importance, since the pandemic is not only an infectious disease crisis but also an economic and social crisis.

Technical Summary

During my secondment with the Centre for Longitudinal Studies (CLS), I will conduct research examining the impact of long covid on employment and income disruption, as well as how COVID-19 has disproportionally affected some populations compared to others, reflecting and perpetuating existing UK health inequalities.

To conduct this research, I will analyse data from CLS's four national longitudinal birth cohort studies: the 1958 National Child Development Study, the 1970 British Cohort Study, Next Steps and the Millennium Cohort Study. During the pandemic, CLS have conducted an additional COVID-19 survey, administered to participants of these birth cohorts as well as participants in the National Survey of Health and Development. The aim of this COVID-19 survey is to understand the economic, social and health impacts of the COVID-19 crisis, the extent to which the pandemic is widening or narrowing inequalities, and the lifelong factors which shape vulnerability and resilience to its effects.

My role, as part of the multi-institutional National Core Studies?Longitudinal?Health and Wellbeing initiative, is to utilise these cohort data to conduct studies focusing on i) COVID-19 severity and employment/income disruption and ii) Socioeconomic, demographic and geospatial determinants of COVID-19 infections. Both studies draw together data from multiple UK population-based longitudinal studies and electronic health records. Such research is crucial given that both the COVID-19 virus and non-pharmaceutical interventions implemented in response have led to a drastic change in the daily lives of the UK population. Understanding how individual's economic, social and health related outcomes evolve has considerable policy importance, since the pandemic is not only an infectious disease crisis but also an economic and social crisis.
 
Description Through the analysis of UK cohort data gathered during the pandemic, we were able to determine that those with long-COVID are more likely to experience financial disruption. This has significant policy implications, additional financial support is required for those experiencing long-COVID.
Exploitation Route Further analysis is needed to understand the mechanism for financial disruption (i.e. job loss? Additional financial burden?) ideally using more detailed longitudinal data with additional timepoints.
Sectors Healthcare