Epicosm-a framework for linking online social media in epidemiological cohorts.
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| Title: | Epicosm-a framework for linking online social media in epidemiological cohorts. |
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| Authors: | Tanner AR; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK., Di Cara NH; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Maggio V; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Thomas R; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Boyd A; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Sloan L; School of Social Sciences, Cardiff University, Cardiff, UK., Al Baghal T; Institute for Social and Economic Research, University of Essex, Colchester, UK., Macleod J; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK., Haworth CMA; School of Psychological Science, University of Bristol, Bristol, UK.; Alan Turing Institute, British Library, London, UK., Davis OSP; Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.; Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.; Alan Turing Institute, British Library, London, UK. |
| Source: | International journal of epidemiology [Int J Epidemiol] 2023 Jun 06; Vol. 52 (3), pp. 952-957. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 7802871 Publication Model: Print Cited Medium: Internet ISSN: 1464-3685 (Electronic) Linking ISSN: 03005771 NLM ISO Abbreviation: Int J Epidemiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1464-3685 |
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| DOI: | 10.1093/ije/dyad020 |
