Evidence map›Paper›PMID 35582036›Full record

ArticleIEEE transactions on computational social systems2021

Mitigating COVID-19 Transmission in Schools With Digital Contact Tracing.

Hao-Chen Sun, Xiao-Fan Liu, Zhan-Wei Du, Xiao-Ke Xu, Ye Wu

Abstract read
In one paragraph

Article in IEEE transactions on computational social systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  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

5 authors.

Hao-Chen SunCollege of Information and Communication EngineeringDalian Minzu University Dalian 116600 China.ORCID https://orcid.org/0000-0001-8282-3972
Xiao-Fan LiuWeb Mining LaboratoryDepartment of Media and CommunicationCity University of Hong Kong Hong Kong.ORCID https://orcid.org/0000-0001-8342-4623
Zhan-Wei DuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of MedicineThe University of Hong Kong Hong Kong.
Xiao-Ke XuCollege of Information and Communication EngineeringDalian Minzu University Dalian 116600 China.ORCID https://orcid.org/0000-0002-9148-3145
Ye WuComputational Communication Research CenterBeijing Normal University Zhuhai 519087 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision mitigation of COVID-19 is in pressing need for postpandemic time with the absence of pharmaceutical interventions. In this study, the effectiveness and cost of digital contact tracing (DCT) technology-based on-campus mitigation strategy are studied through epidemic simulations using high-resolution empirical contact networks of teachers and students. Compared with traditional class, grade, and school closure strategies, the DCT-based strategy offers a practical yet much more efficient way of mitigating COVID-19 spreading in the crowded campus. Specifically, the strategy based on DCT can achieve the same level of disease control as rigid school suspensions but with significantly fewer students quarantined. We further explore the necessary conditions to ensure the effectiveness of DCT-based strategy and auxiliary strategies to enhance mitigation effectiveness and make the following recommendation: social distancing should be implemented along with DCT, the adoption rate of DCT devices should be assured, and swift virus tests should be carried out to discover asymptomatic infections and stop their subsequent transmissions. We also argue that primary schools have higher disease transmission risks than high schools and, thereby, should be alerted when considering reopenings.

Indexed as

Asymptomatic infectionCOVID-19digital contract tracingmitigation strategysocial distancingsusceptible-exposed-infectious-removed (SEIR)

Identifiers

PMID35582036
PMCPMC8843051

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.