Using population-wide administrative and laboratory data to estimate type- and subtype-specific influenza vaccine effectiveness: a surveillance protocol.
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| Title: | Using population-wide administrative and laboratory data to estimate type- and subtype-specific influenza vaccine effectiveness: a surveillance protocol. |
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| Authors: | Scott AN; Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada AScott@policywise.com.; Department of Public Health, Concordia University of Edmonton, Edmonton, Alberta, Canada., Buchan SA; Populations and Public Health Research Program, ICES, Toronto, Ontario, Canada.; Public Health Sciences, Public Health Ontario, Toronto, Ontario, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada., Kwong JC; Populations and Public Health Research Program, ICES, Toronto, Ontario, Canada.; Public Health Sciences, Public Health Ontario, Toronto, Ontario, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada., Drews SJ; Canadian Blood Services, Edmonton, Alberta, Canada., Simmonds KA; Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada.; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada., Svenson LW; Ministry of Health, Government of Alberta, Edmonton, Alberta, Canada.; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.; Division of Preventive Medicine, University of Alberta, Edmonton, Alberta, Canada.; School of Public Health, University of Alberta, Edmonton, Alberta, Canada. |
| Source: | BMJ open [BMJ Open] 2019 Sep 30; Vol. 9 (9), pp. e029708. Date of Electronic Publication: 2019 Sep 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BMJ Publishing Group Ltd Country of Publication: England NLM ID: 101552874 Publication Model: Electronic Cited Medium: Internet ISSN: 2044-6055 (Electronic) Linking ISSN: 20446055 NLM ISO Abbreviation: BMJ Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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