Disrupted variance in respiratory illness presentation patterns in New Zealand primary care through and after the SARS-CoV-2 pandemic: an observational cohort study using automated mining of electronic health records and clinical text.
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| Title: | Disrupted variance in respiratory illness presentation patterns in New Zealand primary care through and after the SARS-CoV-2 pandemic: an observational cohort study using automated mining of electronic health records and clinical text. |
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| Authors: | Dowell AC; University of Otago, Wellington, New Zealand., MacRae J; Datacraft Analytics, Wellington, New Zealand., Blanch R; Datacraft Analytics, Wellington, New Zealand., Hiroi M; Immunisation Advisory Centre, University of Auckland - Grafton Campus, Wellington, New Zealand., Castelino L; University of Auckland - Grafton Campus, Auckland, New Zealand lorraine.castelino@auckland.ac.nz., Turner N; General Practice and Primary Health Care, University of Auckland, Wellington, New Zealand. |
| Source: | BMJ open [BMJ Open] 2026 Jun 25; Vol. 16 (6), pp. e103176. Date of Electronic Publication: 2026 Jun 25. |
| Publication Type: | Journal Article; Observational Study |
| 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 |
| ISSN: | 2044-6055 |
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| DOI: | 10.1136/bmjopen-2025-103176 |
