Evidence map›Paper›PMID 35167995›Full record

ArticleJournal of infection and public health2022

Quantifying the effect of government interventions and virus mutations on transmission advantage during COVID-19 pandemic.

Jingzhi Lou, Hong Zheng, Shi Zhao, Lirong Cao, Eliza Ly Wong, Zigui Chen, Renee Wy Chan, Marc Kc Chong, Benny Cy Zee, Paul Ks Chan and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of infection and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  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
  2. 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

12 authors at 3 institutions in 2 countries.

Jingzhi LouJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: jzlou@qq.com.
Hong ZhengJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: hongzheng@cuhk.edu.hk.
Shi ZhaoJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China. Electronic address: zhaoshi.cmsa@gmail.com.
Lirong CaoJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: caolr@link.cuhk.edu.hk.
Eliza Ly WongJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: lywong@cuhk.edu.hk.
Zigui ChenDepartment of Microbiology, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: zigui.chen@cuhk.edu.hk.
Renee Wy ChanDepartment of Paediatric, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: reneewy@cuhk.edu.hk.
Marc Kc ChongJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China. Electronic address: marc@cuhk.edu.hk.
Benny Cy ZeeJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China. Electronic address: bzee@cuhk.edu.hk.
Paul Ks ChanDepartment of Microbiology, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: paulkschan@cuhk.edu.hk.
Eng-Kiong YeohJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China. Electronic address: yeoh_ek@cuhk.edu.hk.
Maggie H WangJC School of Public Health and Primary Care, the Chinese University of Hong Kong, Hong Kong, China; CUHK Shenzhen Research Institute, Shenzhen, China. Electronic address: maggiew@cuhk.edu.hk.
Chinese University of Hong Kong · CNUniversity of Hong Kong · HKCity University of Hong Kong, Shenzhen Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) pandemic has become a major public health threat. This study aims to evaluate the effect of virus mutation activities and policy interventions on COVID-19 transmissibility in Hong Kong.

methodsIn this study, we integrated the genetic activities of multiple proteins, and quantified the effect of government interventions and mutation activities against the time-varying effective reproduction number R

findingsWe found a significantly positive relationship between R

conclusionOur study provided a convenient framework to estimate the effect of genetic contribution and government interventions on pathogen transmissibility. We showed that the S, N and ORF1b protein had significant contribution to the increase of transmissibility of SARS-CoV-2 in Hong Kong, while restrictions of public gathering and suspension of face-to-face class are the most effective government interventions strategies.

Indexed as

COVID-19PandemicsGovernmentHumansMutationSARS-CoV-2G-measureGovernment interventionsSARS-CoV-2Virus activities

Identifiers

PMID35167995
PMCPMC8813191
OpenAlexW4210329348

What OpenQuestion holds

Textmetadata
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.