Evidence map›Paper›PMID 35996172›Full record

ArticleInternational journal for equity in health2022

Critical policies disparity of the first and second waves of COVID-19 in the United Kingdom.

Manfei Yang, Leiyu Shi, Haiqian Chen, Xiaohan Wang, Jun Jiao, Meiheng Liu, Junyan Yang, Gang Sun

Open access · goldAbstract read
In one paragraph

Article in International journal for equity in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  7. Direct and spillover portfolio effects of COVID-19.Research in international business and finance · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Manfei YangDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Leiyu ShiDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA.
Haiqian ChenDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Xiaohan WangDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Jun JiaoDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Meiheng LiuDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Junyan YangDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China.
Gang SunDepartment of Health Management, School of Health Management, Southern Medical University, Guangdong, 510515, Guangzhou, China. gsun15@jhu.edu.
Southern Medical University · CNJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to compare the differences in COVID-19 prevention and control policies adopted by the United Kingdom (UK) during the first wave (31 January 2020 to 6 September 2020) and the second wave (7 September 2020 to 12 April 2021), and analyze the effectiveness of the policies, so as to provide empirical experience for the prevention and control of COVID-19. Methods We systematically summarized the pandemic prevention and control policies of the UK from official websites and government documents, collated the epidemiological data from 31 January 2020 to 12 April 2021, and analyzed the effectiveness of the two waves of pandemic prevention and control policies.

resultsThe main pandemic prevention and control policies adopted by the UK include surveillance and testing measures, border control measures, community and social measures, blockade measures, health care measures, COVID-19 vaccination measure, and relaxed pandemic prevention measures. The new cases per day curve showed only one peak in the first wave and two peaks in the second wave. The number of new cases per million in the second wave was much higher than that in the first wave, and the curve fluctuated less. The difference between mortality per million was small, and the curve fluctuated widely.

conclusionDuring the first and second waves of COVID-19, the UK implemented three lockdowns and managed to slow the spread of the pandemic. The UK's experience in mitigating the second wave proves that advancing COVID-19 vaccination needs to be accompanied by ongoing implementation of non-pharmacological interventions to reduce the transmission rate of infection. And a stricter lockdown ensures that the containment effect is maximized during the lockdown period. In addition, these three lockdowns featured distinct mitigation strategies and the UK's response to COVID-19 is mitigation strategy that reduce new cases in the short term, but with the risk of the pandemic rebound.

Indexed as

COVID-19Communicable Disease ControlCOVID-19 VaccinesHealth PolicyHumansSARS-CoV-2United KingdomCOVID-19 VaccinesCOVID-19Critical policies disparityMitigation strategyPrevention and control policiesThe first and second waves

Identifiers

PMID35996172
PMCPMC9394080
OpenAlexW4292583810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.