Evidence map›Paper›PMID 34161908›Full record

ArticleEnvironment international2021

Analysis of efficacy of intervention strategies for COVID-19 transmission: A case study of Hong Kong.

Nan Zhang, Pak-To Jack Chan, Wei Jia, Chung-Hin Dung, Pengcheng Zhao, Hao Lei, Boni Su, Peng Xue, Weirong Zhang, Jingchao Xie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. An overview of urban analytical approaches to combating the Covid-19 pandemic.Environment and planning. B, urban analytics and city science · 2023
    Article
  4. Local travel behaviour under continuing COVID-19 waves- A proxy for pandemic fatigue?Transportation research interdisciplinary perspectives · 2023
    Article
  5. Review
  6. Article
  7. Evaluating Effects of Dynamic Interventions to Control COVID-19 Pandemic: A Case Study of Guangdong, China.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Spatial Analysis of COVID-19 Vaccination: A Scoping Review.International journal of environmental research and public health · 2021
    Article
  13. 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

11 authors at 3 institutions in 2 countries.

Nan ZhangBeijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China; Department of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.
Pak-To Jack ChanDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.
Wei JiaDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China; Zhejiang Institute of Research and Innovation, The University of Hong Kong, Lin An, Zhejiang, China.
Chung-Hin DungDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.
Pengcheng ZhaoDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China.
Hao LeiSchool of Public Health, Zhejiang University, Hangzhou, China.
Boni SuChina Electric Power Planning & Engineering Institute, Beijing, China.
Peng XueBeijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.
Weirong ZhangBeijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.
Jingchao XieBeijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.
Yuguo LiDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong SAR, China. Electronic address: liyg@hku.hk.
University of Hong Kong · HKBeijing University of Technology · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By the end of February 2021, COVID-19 had spread to over 230 countries, with more than 100 million confirmed cases and 2.5 million deaths. To control infection spread with the least disruption to economic and societal activities, it is crucial to implement the various interventions effectively. In this study, we developed an agent-based SEIR model, using real demographic and geographic data from Hong Kong, to analyse the efficiency of various intervention strategies in preventing infection by the SARS-CoV-2 virus. Close contact route including short-range airborne is considered as the main transmission routes for COVID-19 spread. Contact tracing is not that useful if all other interventions have been fully deployed. The number of infected individuals could be halved if people reduced their close contact rate by 25%. For reducing transmission, students should be prioritized for vaccination rather than retired older people and preschool aged children. Home isolation, and taking the nucleic acid test (NAT) as soon as possible after symptom onset, are much more effective interventions than wearing masks in public places. Temperature screening in public places only disrupted the infection spread by a small amount when other interventions have been fully implemented. Our results may be useful for other highly populated cities, when choosing their intervention strategies to prevent outbreaks of COVID-19 and similar diseases.

Indexed as

COVID-19AgedChildChild, PreschoolContact TracingDisease OutbreaksHong KongHumansSARS-CoV-2Close contactCOVID-19MaskSEIR modelTemperature screeningVaccine

Identifiers

PMID34161908
PMCPMC8214805
OpenAlexW3175413035

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.