Evidence map›Paper›PMID 37856760›Full record

ArticleJournal of medical Internet research2023

A Digital Mask-Voiceprint System for Postpandemic Surveillance and Tracing Based on the STRONG Strategy.

Xiaogao Pan, Alphonse Houssou Hounye, Yuqi Zhao, Cong Cao, Jiaoju Wang, Mimi Venunye Abidi, Muzhou Hou, Li Xiong, Xiangping Chai

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiaogao Pan *Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-3897-6773
Alphonse Houssou Hounye *School of Mathematics and Statistics, Central South University, Changsha, China.ORCID 0000-0003-2330-2995
Yuqi ZhaoDepartment of Gastroenterology, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0003-1649-6269
Cong CaoSchool of Mathematics and Statistics, Central South University, Changsha, China.ORCID 0000-0002-6853-6421
Jiaoju WangSchool of Mathematics and Statistics, Central South University, Changsha, China.ORCID 0000-0001-5016-7149
Mimi Venunye AbidiGeneral Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0009-0002-6357-5701
Muzhou Hou *School of Mathematics and Statistics, Central South University, Changsha, China.ORCID 0000-0001-6658-2187
Li Xiong *General Surgery Department, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-5570-0229
Xiangping Chai *Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-3575-2646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lockdowns and border closures due to COVID-19 imposed mental, social, and financial hardships in many societies. Living with the virus and resuming normal life are increasingly being advocated due to decreasing virus severity and widespread vaccine coverage. However, current trends indicate a continued absence of effective contingency plans to stop the next more virulent variant of the pandemic. The COVID-19-related mask waste crisis has also caused serious environmental problems and virus spreads. It is timely and important to consider how to precisely implement surveillance for the dynamic clearance of COVID-19 and how to efficiently manage discarded masks to minimize disease transmission and environmental hazards. In this viewpoint, we sought to address this issue by proposing an appropriate strategy for intelligent surveillance of infected cases and centralized management of mask waste. Such an intelligent strategy against COVID-19, consisting of wearable mask sample collectors (masklect) and voiceprints and based on the STRONG (Spatiotemporal Reporting Over Network and GPS) strategy, could enable the resumption of social activities and economic recovery and ensure a safe public health environment sustainably.

Indexed as

COVID-19SARS-CoV-2HumansMasksPublic Healthcommunicationcommunication technologyCOVID-19digital surveillancedigital tracingdynamic clearanceliving with the virusmask managementmentalpandemicpublic healthsocialSpatiotemporal Reporting Over Network and GPSSTRONGSTRONG strategysurveillancetracingvaccinevoiceprint

Identifiers

PMID37856760
PMCPMC10660213

What Socratic 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 Socratic graph.