Evidence map›Paper›PMID 35000583›Full record

ArticleAntimicrobial resistance and infection control2022

What matters: non-pharmaceutical interventions for COVID-19 in Europe.

Yan Liu, Qiuyan Yu, Haoyu Wen, Fang Shi, Fang Wang, Yudi Zhao, Qiumian Hong, Chuanhua Yu

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Pooled it
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  19. COVID-19 and isolation: Risks and implications in the scenario of new variants.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    Review
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.

Yan LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China.
Qiuyan YuDepartment of Epidemiology and Medicine Statistics,Public Health and Management School, Wenzhou Medical University, Zhejiang, China.
Haoyu WenDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China.
Fang ShiDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China.
Fang WangSchool of Public Health, Xuzhou Medical University, Jiangsu, China.
Yudi ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China.
Qiumian HongDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China.
Chuanhua YuDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Hubei, China. yuchua@whu.edu.cn.ORCID 0000-0002-5467-2481

Funding

National Basic Research Program of China (973 Program) 2018YFC1315302National College Students Innovation and Entrepreneurship Training Program 202110486088National Natural Science Foundation of China 81773552
6 · The paper itself

Abstract

objectivesThe purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control.

methodsWe obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We calculated the Rt values of 51 countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For the selected variables, we used quantile regression to analyse the relevant influencing factors in countries with different levels of morbidity or mortality.

resultsThe government has a great influence on the change in Rt value through prevention and control measures. The most important factors for personal and group prevention and control are the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic.

conclusionsWe described the current status of COVID-19 in European countries. Our findings demonstrated key factors in individual and group prevention measures.

Indexed as

SARS-CoV-2Basic Reproduction NumberCommunicable Disease ControlCOVID-19EuropeGlobal HealthHumansLinear ModelsPandemicsCOVID-19EuropeLasso regressionNon-pharmaceutical interventionsQuantile regression

Identifiers

PMID35000583
PMCPMC8743060

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.