Understanding COVID-19 admissions in the UK; Analysis of Freedom of Information Requests

Author:

Jefferson T.,Brassey J,Heneghan C

Abstract

AbstractBackgroundThe progression and severity of the COVID 19 pandemic have been measured based on the daily and total numbers of cases, hospitalisations and deaths. We focused on the nature of hospitalisations from 2020 to 2022.MethodsWe analysed the role played by SARS-CoV-2 in the pandemic in the UK; we lodged FOI requests to Public Health Wales (PHW), Scotland (PHS), and Northern Ireland (PHA NI), the UK Health Security Agency (UKHSA) and NHS England. We asked for all-cause hospital admission monthly numbers reported by days of positivity to SARS-CoV-2 since admission from March 2020. We grouped replies by respondents. We considered any positive tests acquired from day 8 post admission as evidence of in hospital transmission.ResultsPHW, PHS and PHA NI, provided data within two months. The proportion of people admitted who became positive after eight or more days was 33% in Northern Ireland, 24% in Scotland and 45% in Wales. There are seasonal fluctuations reflecting community admissions but no evidence that the proportion of those infected in hospitals reduced over time. No authorities had viral load or symptoms data relating to their datasets. Given the limitations in PCR reporting, it is impossible to know how many “positive” cases were active. UKHSA did not hold the data, and NHS England did not clarify the content of its website.ConclusionAggregate data of “cases of Covid” in hospitals should not be used to inform policy of decision-makers until coordination, and proper interpretation of the dataset are instigated.

Publisher

Cold Spring Harbor Laboratory

Reference25 articles.

1. Heneghan C , Dietrich M , Brassey J , Jefferson T. Effects of COVID-19 in Care Homes − A Mixed Method Review. Collateral Global. https://collateralglobal.org/article/effects-of-covid-19-in-care-homes/

2. The Independent. Covid-19 hospital admissions expected to rise over the next two weeks − Whitty https://www.independent.co.uk/news/uk/chris-whitty-nhs-england-icu-chris-b2042300.html (Accessed May 31 2022)

3. The INews. Daily Covid hospital admissions with Omicron variant could reach all time high, says Chris Whitty https://inews.co.uk/news/covid-daily-hospital-admissions-uk-omicron-variant-january-peak-chris-whitty-1355025 (Accessed May 31 2022)

4. The Guardian. Bring in measures soon or risk 7,000 daily Covid hospitalisations, Sage warns https://www.theguardian.com/world/2021/sep/14/bring-in-measures-soon-or-risk-7000-daily-covid-cases-sage-warns (Accessed May 31 2022)

5. Telegraph. Frightening new Covid data shows Boris Johnson’s omicron gamble may be about to implode. https://www.telegraph.co.uk/global-health/science-and-disease/frightening-new-covid-data-shows-boris-johnsons-omicron-gamble/ (Accessed May 31 2022)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3