Search results | J. Murrey Atkins Library

Title: A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
Author: Thill, Jean-Claude
Date Created: 2014
Subjects--Topical: City planning, Urban forestry
Description: We examined how social-ecological factors in the land-change decision-making process influenced neighboring decisions and trajectories of alternative landscape ecologies. We decomposed individual landowner decisions to conserve or develop forests ...

Title: Accounting for residential propagule pressure improves prediction of urban plant invasion
Author: Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
Subjects--Topical: Invasive plants, Urban forestry
Description: Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...

Title: Associations between COVID-19 pandemic, lockdown measures and human mobility : longitudinal evidence from 86 countries
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur
Date Created: 2022
Subjects--Topical: Social distancing (Public health), COVID-19 (Disease)
Description: Recognizing an urgent need to understand the dynamics of the pandemic's severity, this longitudinal study is conducted to explore the evolution of complex relationships between the COVID-19 pandemic, lockdown measures, and social distancing patter...

Title: Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
Author: Thill, Jean-Claude
Date Created: 2020
Subjects--Topical: Data reduction, Statistics
Description: One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the read...

Title: COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Subjects--Topical: Public health, COVID-19 (Disease), Social distancing (Public health)
Description: This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces, and residential areas, and lockdown measures in 88 countries aroun...

Title: Effect of privatization and inland infrastructural development on India's container port selection dynamics
Author: Thill, Jean-Claude, Subramanian, Kailas Venkita
Date Created: 2019
Subjects--Topical: Privatization--Economic aspects, Shipment of goods
Description: In this study, we present insights on how the privatization of Indian ports is altering the market share of containerized shipments across two key Industrial corridors of India. Using bill of lading dataset, we implement a binary multi-level discr...

Title: Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
Author: Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
Date Created: 2021
Subjects--Topical: Deep learning (Machine learning), COVID-19 (Disease)
Description: Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially...

Title: Heterogeneous crowd-sourced data analytics
Author: Thill, Jean-Claude
Date Created: 2017
Subjects--Topical: Data mining, Statistics
Description: Advances in computing, communication, storage, and sensing technologies have reshaped the lives of people by changing the way they live, work, interact with their environments, and even socialize. Modern information systems collect valuable inform...

Title: Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022 : A multi-model study
Author: Janies, Daniel, Chen, Shi, Thill, Jean-Claude
Date Created: 2023
Subjects--Topical: Communicable diseases, COVID-19 (Disease)
Description: Background The COVID-19 Scenario Modeling Hub convened nine modeling teams to project the impact of expanding SARS-CoV-2 vaccination to children aged 5-11 years on COVID-19 burden and resilience against variant strains. Methods Teams contributed s...

Title: Machine learning of spatial data
Author: Thill, Jean-Claude, Nikparvar, Behnam
Date Created: 2021
Subjects--Topical: Machine learning, Geospatial data
Description: Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to...

Title: Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Date Created: 2021
Subjects--Topical: Machine learning, COVID-19 (Disease)
Description: The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implem...

Title: Measuring relative opinion from location-based social media : a case study of the 2016 US presidential election
Author: Thill, Jean-Claude, Cai, Tengteng
Date Created: 2020
Subjects--Topical: Presidents--Election, Social media
Description: Social media has become an emerging alternative to opinion polls for public opinion collection, while it is still posing many challenges as a passive data source, such as structurelessness, quantifiability, and representativeness. Social media dat...

Title: Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Author: Thill, Jean-Claude, Hatami, Faizeh, Rahman, Md. Mokhlesur, Nikparvar, Behnam
Date Created: 2023
Subjects--Topical: Commuting, Statistics
Description: The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of transportation due to urban sprawl, priority to road construction and America'...

Title: Predicting the upcoming services of vacant taxis near fixed locations using taxi trajectories
Author: Thill, Jean-Claude, Hu, Chunchun
Date Created: 2019
Subjects--Topical: Taxicab industry, Taxicabs
Description: Emerging on-line reservation services and special car services have greatly affected the development of the taxi industry. Surprisingly, taking a taxi is still a significant problem in many large cities. In this paper, we present an effective solu...

Title: Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
Author: Thill, Jean-Claude, Janies, Daniel, Chen, Shi
Date Created: 2022
Subjects--Topical: COVID-19 (Disease), Vaccination
Description: In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increa...

Title: Public perceptions of COVID-19 vaccines : policy implications from us spatiotemporal sentiment analytics
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Date Created: 2021
Subjects--Topical: Sentiment analysis, COVID-19 (Disease)
Description: There is a compelling and pressing need to better understand the temporal dynamics of public sentiment towards COVID-19 vaccines in the US on a national and state-wise level for facilitating appropriate public policy applications. Our analysis of ...

Title: Spatial analytics based on confidential data for strategic planning in urban health departments
Author: Thill, Jean-Claude, Yonto, Daniel, Issel, L. Michele
Date Created: 2019
Subjects--Topical: Public health, Data protection
Description: Spatial data analytics can detect patterns of clustering of events in small geographies across an urban region. This study presents and demonstrates a robust research design to study the longitudinal stability of spatial clustering with small case...

Title: Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Author: Thill, Jean-Claude, Nikparvar, Behnam, Rahman, Md. Mokhlesur, Hatami, Faizeh
Date Created: 2021
Subjects--Topical: Epidemiology, COVID-19 (Disease)
Description: Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand,...

Title: Spatiotemporal evaluation of the built environment's impact on commuting duration
Author: Thill, Jean-Claude, Hatami, Faizeh
Date Created: 2022
Subjects--Topical: Commuting, Residential mobility
Description: Upward trends in commuting duration and distance due to urban sprawl in the United States have raised concerns about the ensuing environmental, social and economic problems. Various urban planning approaches have been developed, hypothesizing that...

Title: The role of socioeconomic and climatic factors in the spatio-temporal variation of human rabies in China
Author: Thill, Jean-Claude
Date Created: 2018
Subjects--Topical: Public health, Rabies
Description: Background: Rabies is a significant public health problem in China. Previous spatial epidemiological studies have helped understand the epidemiology of animal and human rabies in China. However, quantification of effects derived from relevant fact...