A5101670284- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- COVID-19 epidemiological studies
- Advanced machining processes and optimization
- Transportation Planning and Optimization
- Data-Driven Disease Surveillance
- Advanced Surface Polishing Techniques
- Impact of Light on Environment and Health
- Advanced Measurement and Metrology Techniques
- Simulation and Modeling Applications
- Traffic Prediction and Management Techniques
- Geographic Information Systems Studies
- Advanced Computing and Algorithms
- SARS-CoV-2 and COVID-19 Research
- Textile materials and evaluations
- Thermoregulation and physiological responses
- COVID-19 Digital Contact Tracing
- Evacuation and Crowd Dynamics
- Manufacturing Process and Optimization
- Data Management and Algorithms
- Urban Design and Spatial Analysis
- Viral Infections and Vectors
- Quantum Dots Synthesis And Properties
- Land Use and Ecosystem Services
- Copper-based nanomaterials and applications
Shenzhen Institutes of Advanced Technology
2016-2025
Chinese Academy of Sciences
2016-2025
Shenzhen Technology University
2024-2025
Shenzhen University
2024-2025
Lishui University
2024
Dongguan University of Technology
2014-2024
Shanghai University of Engineering Science
2019-2023
Wuhan University of Science and Technology
2023
Chinese PLA General Hospital
2014-2022
Hunan University of Science and Technology
2022
As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as causative virus of Wuhan pneumonia unknown etiology Chinese authorities on 7 January, 2020. The named severe acute respiratory syndrome 2 (SARS-CoV-2) International Committee Taxonomy Viruses 11 February, This study aimed to develop mathematical model for calculating transmissibility virus.
In recent years, call detail records (CDRs) have been widely used in human mobility research. Although CDRs are originally collected for billing purposes, the vast amount of digital footprints generated by calling and texting activities provide useful insights into population movement. However, can we fully trust given uneven distribution people's phone communication space time? this article, investigate issue using a mobile location dataset from over one million subscribers Shanghai, China....
Activity space is an important concept in geography. Recent advancements of location-aware technologies have generated many useful spatiotemporal data sets for studying human activity lar...
Abstract As reported by the World Health Organization, a novel coronavirus (2019-nCoV) was identified as causative virus of Wuhan pneumonia unknown etiology Chinese authorities on 7 January, 2020. In this study, we developed Bats-Hosts-Reservoir-People transmission network model for simulating potential from infection source (probable be bats) to human infection. Since Bats-Hosts-Reservoir hard explore clearly and public concerns were focusing seafood market (reservoir) people, simplified...
Abstract Background Coronavirus disease (COVID-19) has become a pandemic. The knowledge, attitudes, and practices (KAP) of the public play major role in prevention control infectious diseases. objective present study was to evaluate KAP Chinese assess potential influencing factors related practices. Methods A cross-sectional online survey conducted China February 2020 via self-designed questionnaire comprising 33 questions assessing KAP. Results For 2136 respondents from 30 provinces or...
This paper takes Shenzhen Fustian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring analysis on spatial temporal distribution passenger flow under different means service capacity from multi-dimensional space-time perspectives such period special period. Virtual reality geographic system is employed present forecasting result.
Abstract Background The novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, also called 2019-nCoV) causes different morbidity risks to individuals in age groups. This study attempts quantify the age-specific transmissibility using a mathematical model. Methods An epidemiological model with five compartments (susceptible–exposed–symptomatic–asymptomatic–recovered/removed [SEIAR]) was developed based on observed transmission features. Coronavirus disease 2019...
Stroke is a major cause of death and disability in adults. Conventional therapy (CT) has limited effectiveness, therefore, various virtual reality (VR) rehabilitation programs have been designed. However, their efficacy regaining motor function patients with subacute stroke questionable. Therefore, we conducted this meta-analysis to determine the VR, compared CT, restoring patient population. Up October 10, 2020, nine electronic databases were searched for relevant articles reporting...
Before herd immunity against Coronavirus disease 2019 (COVID-19) is achieved by mass vaccination, science-based guidelines for non-pharmaceutical interventions are urgently needed to reopen megacities. This study integrated massive mobile phone tracking records, census data and building characteristics into a spatially explicit agent-based model simulate COVID-19 spread among 11.2 million individuals living in Shenzhen City, China. After validation local epidemiological observations, the was...
Agent-based models have gained traction in exploring the intricate processes governing spread of infectious diseases, particularly due to their proficiency capturing nonlinear interaction dynamics. The fidelity agent-based replicating real-world epidemic scenarios hinges on accurate portrayal both population-wide and individual-level interactions. In situations where comprehensive population data are lacking, synthetic populations serve as a vital input models, approximating demographic...
Background and Purpose— There is evidence international consensus on the advantages potential of a polypill for established cardiovascular disease patients to improve adherence in secondary prevention disease. This study aimed estimate numbers stroke who would be eligible strategy China, suitable composition polypill, based data China National Stroke Prevention Project. Methods— A total 717 620 residents aged ≥40 years from 6 Chinese representative provinces were screened prevalent 2011 2012...
Investigating human mobility patterns can help researchers and agencies understand the driving forces of movement, with potential benefits for urban planning traffic management. Recent advances in location-aware technologies have provided many new data sources (e.g., mobile phone social media data) studying space-time behavioral regularity. Although existing studies utilized these datasets to characterize from various aspects, such as predicting monitoring dynamics, few focused on...
Understanding residents' daily activity chains provides critical support for various applications in transportation, public health and many other related fields. Recently, mobile phone location datasets have been suggested mining patterns because of their utility large sample sizes. Although recently machine learning-based models seem to perform well purpose inference using data, most these work as black boxes. To address challenges, this study proposes a flexible white box method mine human...
The past decade has demonstrated the potential of human activity recognition (HAR) with WiFi signals owing to non-invasiveness and ubiquity. Previous research largely concentrated on enhancing precision through sophisticated models. However, complexity tasks been neglected. Thus, performance HAR system is markedly diminished when tasked increasing complexities, such as a larger classification number, confusion similar actions, signal distortion To address this issue, we eliminated...
Understanding commuting patterns has been a classic research topic in the fields of geography, transportation and urban planning, it is significant for handling increasingly serious traffic congestion air pollution their impacts on quality life. Traditional studies have used travel survey data to investigate from aspects mode, efficiency influence factors. Due limited sample size these data, difficult examine large-scale citizens, especially when exploring spatial structure commuting. This...
Understanding the stability of urban flows is critical for transportation, planning and public health. However, few studies have measured aggregate human convergence or divergence patterns. We propose a spatiotemporal model assessing A mobile phone location data set obtained from Shenzhen, China, was used to assess daily patterns at three different spatial scales, i.e. points (cell towers), lines (bus lines) areas (traffic analysis zones [TAZs]). Our results demonstrated that proposed can...