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Accident and emergency (AE) attendance in England following infection with SARS-CoV-2 Omicron or Delta

Grint, D. J.; Wing, K.; Gibbs, H. P.; Evans, S. J.; Williamson, E. J.; Bhaskaran, K.; McDonald, H. I.; Walker, A. J.; Evans, D.; Hickman, G.; Mathur, R.; Schultze, A.; Rentsch, C. T.; Tazare, J.; Douglas, I. J.; Curtis, H. J.; Morton, C. E.; Bacon, S. C.; Davy, S.; MacKenna, B.; Inglesby, P.; Croker, R.; Parry, J.; Hester, F.; Harper, S.; DeVito, N. J.; Hulme, W. J.; Bates, C.; Cockburn, J.; Mehrkar, A.; Goldacre, B.; Eggo, R. M.; Tomlinson, L.

2022-05-03 infectious diseases
10.1101/2022.05.03.22274602 medRxiv
Show abstract

The SARS-CoV-2 Omicron variant is increasing in prevalence around the world. Accurate estimation of disease severity associated with Omicron is critical for pandemic planning. We found lower risk of accident and emergency (AE) attendance following SARS-CoV-2 infection with Omicron compared to Delta (HR: 0.39 (95% CI: 0.30 - 0.51; P<.0001). For AE attendances that lead to hospital admission, Omicron was associated with an 85% lower hazard compared with Delta (HR: 0.14 (95% CI: 0.09 - 0.24; P<.0001)). Conflicts of InterestsNothing to declare. Funding statementThis work was supported by the Medical Research Council MR/V015737/1. TPP provided technical expertise and infrastructure within their data centre pro bono in the context of a national emergency. Rosalind Eggo is funded by HDR UK (grant: MR/S003975/1), MRC (grant: MC_PC 19065), NIHR (grant: NIHR200908).

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