Gareth J Griffith

Emailg.griffithbristol.acuk

BS8 2BN

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8073 ESRC ES/T009101/1 Post Doctoral Fellowship: Investigating the differential geographical, sociodemographic and genetic predictors of mental illness and wellbeing using longitudinal survey data
Griffith, G. J.
1/01/20 → 31/12/20
Project: Research

15 Article (Academic Journal)
2 Other contribution
1 Comment/debate (Academic Journal)
1 Letter (Academic Journal)
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- 1 Article (Specialist Publication)

Continuing inequalities in COVID-19 mortality in England and Wales, and the changing importance of regional, over local, deprivation
Griffith, G. J., Owen, G., Manley, D., Howe, L. D. & Smith, G. D., Jul 2022, In: Health and Place. 76, 102848.
Research output: Contribution to journal › Article (Academic Journal) › peer-review
3 Citations (Scopus)
Collider bias undermines our understanding of COVID-19 disease risk and severity
Griffith, G. J., Morris, T. T., Tudball, M. J., Herbert, A., Mancano, G., Pike, L., Sharp, G. C., Sterne, J., Palmer, T. M., Davey Smith, G., Tilling, K., Zuccolo, L., Davies, N. M. & Hemani, G., 12 Nov 2020, In: Nature Communications. 11, 12 p., 5749 (2020).
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
416 Citations (Scopus)

252 Downloads (Pure)
When does geography matter most? Age-specific geographical effects in the patterning of, and relationship between, mental wellbeing and mental illness
Griffith, G. J. & Jones, K., 6 Aug 2020, In: Health and Place. 64, 102401.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
6 Citations (Scopus)

98 Downloads (Pure)

Additional file 2 of Algorithmic hospital catchment area estimation using label propagation
Challen, R. J. (Creator), Griffith, G. J. (Creator), Lacasa, L. (Creator) & Tsaneva-Atanasova, K. (Creator), figshare, 28 Jun 2022
DOI: 10.6084/m9.figshare.20167913.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Algorithmic_hospital_catchment_area_estimation_using_label_propagation/20167913/1
Dataset

How can we best understand mental health in the UK?: Critically and empirically investigating the measurement, and socio-demographic and geographical predictors of UK mental health.
Author: Griffith, G., 23 Jan 2019
Supervisor: Jones, K. (Supervisor) & Leckie, G. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

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Dr Gareth J Griffith

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Collaborations and top research areas from the last five years

Dive into details

8073 ESRC ES/T009101/1 Post Doctoral Fellowship: Investigating the differential geographical, sociodemographic and genetic predictors of mental illness and wellbeing using longitudinal survey data

Continuing inequalities in COVID-19 mortality in England and Wales, and the changing importance of regional, over local, deprivation

Collider bias undermines our understanding of COVID-19 disease risk and severity

When does geography matter most? Age-specific geographical effects in the patterning of, and relationship between, mental wellbeing and mental illness

Additional file 2 of Algorithmic hospital catchment area estimation using label propagation

How can we best understand mental health in the UK?: Critically and empirically investigating the measurement, and socio-demographic and geographical predictors of UK mental health.

Dr Gareth J Griffith

Fingerprint

Collaborations and top research areas from the last five years

Projects

8073 ESRC ES/T009101/1 Post Doctoral Fellowship: Investigating the differential geographical, sociodemographic and genetic predictors of mental illness and wellbeing using longitudinal survey data

Research output

Continuing inequalities in COVID-19 mortality in England and Wales, and the changing importance of regional, over local, deprivation

Collider bias undermines our understanding of COVID-19 disease risk and severity

When does geography matter most? Age-specific geographical effects in the patterning of, and relationship between, mental wellbeing and mental illness

Datasets

Additional file 2 of Algorithmic hospital catchment area estimation using label propagation

Thesis

How can we best understand mental health in the UK?: Critically and empirically investigating the measurement, and socio-demographic and geographical predictors of UK mental health.