Evidence map›Paper›PMID 32102305›Full record

ArticleInternational journal of environmental research and public health2020

Infection Spread and High-Resolution Detection of Close Contact Behaviors.

Nan Zhang, Boni Su, Pak-To Chan, Te Miao, Peihua Wang, Yuguo Li

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 52 citations in OpenAlex.

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  4. Review
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  11. Close proximity risk assessment for SARS-CoV-2 infection.The Science of the total environment · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Known SARS-CoV-2 infections: The tip of an important iceberg.The International journal of health planning and management · 2020
    Article
  17. Article
  18. A Comparison of Infection Venues of COVID-19 Case Clusters in Northeast China.International journal of environmental research and public health · 2020
    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

6 authors at 2 institutions in 2 countries.

Nan ZhangDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.ORCID 0000-0003-2092-4334
Boni SuChina Electric Power Planning & Engineering Institute, Beijing 100120, China.
Pak-To ChanDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.ORCID 0000-0003-4737-0941
Te MiaoDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.
Peihua WangDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.ORCID 0000-0002-6665-3384
Yuguo LiDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, China.
University of Hong Kong · HKChina Power Engineering Consulting Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of human behaviors is important for improving indoor-environment design, building-energy efficiency, and productivity, and for studies of infection spread. However, such data are lacking. In this study, we designed a device for detecting and recording, second by second, the 3D indoor positioning and head and body motions of each graduate student in an office. From more than 400 person hours of data. Students spent 92.2%, 4.1%, 2.9%, and 0.8% of their time in their own office cubicles, other office cubicles, aisles, and areas near public facilities, respectively. They spent 9.7% of time in close contact, and each student averagely had 4.0 close contacts/h. Students spent long time on close contact in the office which may lead to high infection risk. The average interpersonal distance during close contact was 0.81 m. When sitting, students preferred small relative face orientation angle. Pairs of standing students preferred a face-to-face orientation during close contact which means this pattern had a lower infection risk via close contact. Probability of close contact decreased exponentially with the increasing distance between two students' cubicles. Data on human behaviour during close contact is helpful for infection risk analysis and infection control and prevention.

Indexed as

BehaviorDisease Transmission, InfectiousEfficiencyEnvironment DesignHumansInfection ControlRiskStudentsVentilationclose contacthead and body motionhuman behaviorindoor environmentindoor positioninginfection riskinfection spread and controlopen-plan officesensor-based

Identifiers

PMID32102305
PMCPMC7068293
OpenAlexW3008804154

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.