Evidence map›Paper›PMID 33603201›Full record

ArticleNature human behaviour2021

Integrated vaccination and physical distancing interventions to prevent future COVID-19 waves in Chinese cities.

Bo Huang, Jionghua Wang, Jixuan Cai, Shiqi Yao, Paul Kay Sheung Chan, Tony Hong-Wing Tam, Ying-Yi Hong, Corrine W Ruktanonchai, Alessandra Carioli, Jessica R Floyd and 5 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
12.0field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it, 144 citations in OpenAlex.

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  12. Optimizing the detection of emerging infections using mobility-based spatial sampling.International journal of applied earth observation and geoinformation : ITC journal · 2024
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8 more citing papers are in PubMed but not listed here.

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

15 authors at 5 institutions in 4 countries.

Bo Huang *Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR. bohuang@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-5063-3522
Jionghua Wang *Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.ORCID http://orcid.org/0000-0001-8265-3985
Jixuan Cai *Tencent Inc., Shenzhen, China.
Shiqi YaoDepartment of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.ORCID http://orcid.org/0000-0003-0844-2973
Paul Kay Sheung ChanDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR. paulkschan@cuhk.edu.hk.ORCID http://orcid.org/0000-0002-6360-4608
Tony Hong-Wing TamDepartment of Sociology and Center for Population Research, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.
Ying-Yi HongDepartment of Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR.ORCID http://orcid.org/0000-0003-3172-9243
Corrine W RuktanonchaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0002-7889-3473
Alessandra CarioliWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Jessica R FloydWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Nick W RuktanonchaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.
Weizhong YangSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zhongjie LiDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, China.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK. A.J.Tatem@soton.ac.uk.ORCID http://orcid.org/0000-0002-7270-941X
Shengjie Lai *WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, UK.ORCID http://orcid.org/0000-0001-9781-8148
Chinese University of Hong Kong · HKUniversity of Southampton · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Center For Disease Control and Prevention · CNTencent (China) · CN

Funding

Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) INV-002697Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1032350Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1094793Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1106427Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1134076Bill and Melinda Gates Foundation (Bill & Melinda Gates Foundation) OPP1170969National Natural Science Foundation of China (National Science Foundation of China) 81773498
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has posed substantial challenges to the formulation of preventive interventions, particularly since the effects of physical distancing measures and upcoming vaccines on reducing susceptible social contacts and eventually halting transmission remain unclear. Here, using anonymized mobile geolocation data in China, we devise a mobility-associated social contact index to quantify the impact of both physical distancing and vaccination measures in a unified way. Building on this index, our epidemiological model reveals that vaccination combined with physical distancing can contain resurgences without relying on stay-at-home restrictions, whereas a gradual vaccination process alone cannot achieve this. Further, for cities with medium population density, vaccination can reduce the duration of physical distancing by 36% to 78%, whereas for cities with high population density, infection numbers can be well-controlled through moderate physical distancing. These findings improve our understanding of the joint effects of vaccination and physical distancing with respect to a city's population density and social contact patterns.

Indexed as

Communicable Disease ControlCOVID-19Physical DistancingVaccinationChinaCitiesCivil DefenseContact TracingDelivery of Health Care, IntegratedDisease Transmission, InfectiousGeographic Information SystemsHumansSARS-CoV-2

Identifiers

PMID33603201
OpenAlexW3132132323

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.