Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study.
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| Title: | Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study. |
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| Authors: | Li X; Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK., Ostropolets A; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA., Makadia R; Janssen Research and Development, Titusville, NJ, USA., Shoaibi A; Janssen Research and Development, Titusville, NJ, USA., Rao G; Janssen Research and Development, Titusville, NJ, USA., Sena AG; Janssen Research and Development, Titusville, NJ, USA.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands., Martinez-Hernandez E; Neurology Department, Hospital Clinic de Barcelona and University of Barcelona, Barcelona, Spain., Delmestri A; Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK., Verhamme K; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands.; Department of Bio-Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg, Gent, Belgium., Rijnbeek PR; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands., Duarte-Salles T; Fundacio Institut Universitari per a la recerca a l'Atencio Primaria de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain., Suchard MA; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA.; Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA., Ryan PB; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA.; Janssen Research and Development, Titusville, NJ, USA., Hripcsak G; Department of Biomedical Informatics, Columbia University Irving Medical Center, New York, NY, USA., Prieto-Alhambra D; Centre for Statistics in Medicine, NDORMS, University of Oxford, Oxford, UK daniel.prietoalhambra@ndorms.ox.ac.uk.; Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, Netherlands. |
| Source: | BMJ (Clinical research ed.) [BMJ] 2021 Jun 14; Vol. 373, pp. n1435. Date of Electronic Publication: 2021 Jun 14. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: British Medical Association Country of Publication: England NLM ID: 8900488 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-1833 (Electronic) Linking ISSN: 09598138 NLM ISO Abbreviation: BMJ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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