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What can big data tell us about outcomes of epilepsy?

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  • Full or part time
    Dr R Chin
    Dr C Weir
    Dr Sohinee Bhattacharya
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

Project Description

With a diagnosis of epilepsy comes questions about health, educational and social outcomes. For women there are specific questions about pregnancy outcomes. Scotland’s primary and secondary care health, education, and social service data are amongst the best worldwide. Established methods of linking these data in various combinations in a safe, secure, and confidential manner have been described.

This project aims to examine:

1. Pregnancy outcomes using data from the Aberdeen Maternity and Neonatal Databank (AMND) or Scottish SMR 02 data, data from Finnish and Maltese Maternity records. These population-based datasets have been merged and standardised. Access to merged data will be subject to approval from data custodians for individual datasets. There are 3665 cases of Epilepsy in 1,060,899 women’s first pregnancy records (0.3%)

2. Prenatal exposures to smoking, maternal obesity, anaesthetic agents and epilepsy risk in offspring using data from the AMND.

3. Using the AMND, explore the health and socioeconomic outcomes of childhood onset-epilepsy since the 1990s.

4. The influence of grandparental and parental life course biological and social variables on the health and educational outcomes of offspring using data from the Aberdeen 1950’s Birth Cohort.

Funding Notes

Please note that the funding available is for EU/UK students. Interested international students are welcome but would have to be responsible for additional fees.
This project would suit candidates with a background in public health, epidemiology, biostatistics, or health informatics. Candidates with experience of working with routine administrative health data would be particularly welcome.
Please note that previous applicants need not apply again.

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FTE Category A staff submitted: 117.28

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