Cargando…

COVID-19 contact tracking based on person reidentification and geospatial data

Efficient contact tracing is a crucial step in preventing the spread of COVID-19. However, the current methods rely heavily on manual investigation and truthful reporting by high-risk individuals. Mobile applications and Bluetooth-based contact tracing methods have also been adopted, but privacy con...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Boxing, Lei, Huan, Cai, Yingjie, Zhong, Zhenyu, Jiao, Zeyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Author(s). Published by Elsevier B.V. on behalf of King Saud University. 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10110285/ https://www.ncbi.nlm.nih.gov/pubmed/37251782 http://dx.doi.org/10.1016/j.jksuci.2023.101558

Ejemplares similares

Template-Aware Transformer for Person Reidentification
por: Zheng, Yanwei, et al.
Publicado: (2022)

Lightweight Multimodal Domain Generic Person Reidentification Metric for Person-Following Robots
por: Syed, Muhammad Adnan, et al.
Publicado: (2023)

Epidemiologic and Genomic Reidentification of Yaws, Liberia
por: Timothy, Joseph W.S., et al.
Publicado: (2021)

Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification
por: Sang, Haifeng, et al.
Publicado: (2019)

Reidentification of Avian Embryonic Remains from the Cretaceous of Mongolia
por: Varricchio, David J., et al.
Publicado: (2015)

Assessing transcriptomic reidentification risks using discriminative sequence models
por: Sadhuka, Shuvom, et al.
Publicado: (2023)

HAZMAT Vehicle Reidentification in Road Tunnels Based on the Fusion of Appearance and Spatiotemporal Information
por: Jia, Lei, et al.
Publicado: (2023)

Reidentification of Decapterus macarellus and D. macrosoma (Carangidae) reveals inconsistencies with current morphological taxonomy in China
por: Zhang, Liyan, et al.
Publicado: (2020)

Role of big geospatial data in the COVID-19 crisis
por: Mir, Sajad Ahmad, et al.
Publicado: (2022)

Special issue on geospatial artificial intelligence
por: Gao, Song, et al.
Publicado: (2023)

Reidentification of Ebola Virus E718 and ME as Ebola Virus/H.sapiens-tc/COD/1976/Yambuku-Ecran
por: Kuhn, Jens H., et al.
Publicado: (2014)

Hyper Focusing Local Geospatial Data to Improve COVID-19 Vaccine Equity and Distribution
por: Lei, Yuxiao
Publicado: (2021)

Preprocessing Pipelines including Block-Matching Convolutional Neural Network for Image Denoising to Robustify Deep Reidentification against Evasion Attacks
por: Pawlicki, Marek, et al.
Publicado: (2021)

Surveillance of COVID-19 Using Geospatial Data: An Emergency Department Perspective
por: Ashok, S., et al.
Publicado: (2021)

Sub-national longitudinal and geospatial analysis of COVID-19 tweets
por: Cuomo, Raphael E., et al.
Publicado: (2020)

Molecular and phenotypic reidentification of Sporothrix schenckii clinical isolates preserved under mineral oil for 34 to 64 years in a culture collection in Brazil
por: Barreira, Thais, et al.
Publicado: (2022)

Analyzing Personal Happiness from Global Survey and Weather Data: A Geospatial Approach
por: Peng, Yi-Fan, et al.
Publicado: (2016)

Enhanced cluster detection and noise reduction for geospatial time series data of COVID-19
por: Gaire, Sabitri, et al.
Publicado: (2023)

Application of Geospatial Technologies in the COVID-19 Fight of Ghana
por: Sarfo, Anthony Kwabena, et al.
Publicado: (2020)

Geospatial Analysis of COVID-19: A Scoping Review
por: Fatima, Munazza, et al.
Publicado: (2021)

Geospatial analysis of misinformation in COVID-19 related tweets
por: Forati, Amir Masoud, et al.
Publicado: (2021)

Geospatial Perspectives on the Intersection of Chronic Disease and COVID-19
por: Mennis, Jeremy, et al.
Publicado: (2022)

Geospatial Analysis of Persons with Movement Disorders Living in Underserved Regions
por: Giacobbe, Alaina, et al.
Publicado: (2021)

Parallel Processing Strategies for Big Geospatial Data
por: Werner, Martin
Publicado: (2019)

Geoprocess of geospatial urban data in Tallinn, Estonia
por: Eslamirad, Nasim, et al.
Publicado: (2023)

Geospatial analysis of COVID-19 and otolaryngologists above age 60
por: Ruthberg, Jeremy S., et al.
Publicado: (2020)

Geospatial multivariate analysis of COVID-19: a global perspective
por: Sharma, Nonita, et al.
Publicado: (2021)

Influence of geospatial resolution on sociodemographic predictors of COVID-19 in Massachusetts
por: Patil, Prasad, et al.
Publicado: (2023)

Geospatial Disparities in Federal COVID-19 Test-to-Treat Program
por: Smith, Emily R., et al.
Publicado: (2023)

Quantifying the scale effect in geospatial big data using semi-variograms
por: Chen, Lei, et al.
Publicado: (2019)

The geospatial data quality REST API for primary biodiversity data
por: Otegui, Javier, et al.
Publicado: (2016)

Detection of space–time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan
por: Takemura, Yusuke, et al.
Publicado: (2022)

A Geospatial Information Grid Framework for Geological Survey
por: Wu, Liang, et al.
Publicado: (2015)

Enhancing Electronic Health Record Data with Geospatial Information
por: Xie, Sherrie, et al.
Publicado: (2017)

Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing
Publicado: (2020)

A study on geospatially assessing the impact of COVID-19 in Maharashtra, India
por: Das, Saneev Kumar, et al.
Publicado: (2022)

Integration of multiple geospatial applications and intelligence for responding to COVID-19 in Ghana
por: Owusu, Alex B, et al.
Publicado: (2021)

Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution
por: De Ridder, David, et al.
Publicado: (2020)

Geospatial model of COVID-19 spreading and vaccination with event Gillespie algorithm
por: Temerev, Alexander, et al.
Publicado: (2022)

Deploying geospatial visualization dashboards to combat the socioeconomic impacts of COVID-19
por: Praharaj, Sarbeswar, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_1vshi95fat6ja84vi7utkf0e37