Digital Commons Network^™

Studying Extreme Weather Event Impacts For Transit-Reliant Unhoused Populations, Costanza Rampini, Serena Alexander, Jeff Wootton, Amruta Ashish Gandhi

Mineta Transportation Institute

No abstract provided.

State And Regional Variation In Access To Pediatric Extracorporeal Membrane Oxygenation., Allan M. Joseph, Andrew J. Lautz, Carlie N. Myers, Ranjit S. Chima, Juan P. Gurria, Shafee Salloum, Wendy Hasson, Matthew P. Malone, Jenna Miller, Reanna Smith, Maya L. Dewan

Manuscripts, Articles, Book Chapters and Other Papers

Extracorporeal membrane oxygenation (ECMO) is only available in specialized medical centers. We conducted a geospatial analysis and found state- and region-level variation in the supply of ECMO centers, and the number of children who had access to ECMO. These findings may help target areas for the development of new ECMO programs.

Monitoring Groundwater Flow At Old Works Using Anisotropy, 3-D Electrical Geophysics, And Dem-Based Terrain Analysis, Yihaun Gao

Honors Theses

Groundwater flow in shallow heterogeneous environments is often difficult to characterize using a single geophysical method. This study applies an integrated approach combining azimuthal resistivity anisotropy, self-potential (SP) measurements, DEM-derived terrain indices, and three-dimensional electrical resistivity tomography (3-D ERT) to delineate preferential groundwater pathways at the Old Works Golf Course in Anaconda, Montana. Azimuthal anisotropy analysis from eighteen 2-D ERT profiles revealed a dominant directional dependence in electrical conductivity, indicating a structural or sedimentological control on subsurface flow. The anisotropy results indicate a preferred conductivity direction of approximately 200°–210° in azimuth (0° is north), suggesting that groundwater movement is guided …

Heat And Socioeconomic Deprivation Compound To Drive Coronary Heart Disease In Los Angeles, Shutong Huo, Tessa R. Pulido, Reginald S. Archer, Joshua B. Fisher, Jason A. Douglas

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Background:

Socioeconomic deprivation and environmental heat exposure each increase cardiovascular risk, yet evidence is limited on how these stressors co-occur and jointly shape disease burden within cities. Mapping their overlap can inform equity-oriented planning and needs-based allocation of health and social protection resources.

Methods:

We conducted an ecological geospatial analysis of 2,513 census tracts in Los Angeles County. Adult coronary heart disease (CHD) prevalence was obtained from CDC Population Level Analysis and Community Estimates (2021). Socioeconomic deprivation was measured using the Social Deprivation Index (SDI), and heatwave surface heat hazard was measured using land surface temperature (LST) retrieved from the …

Geographic Access To Pediatric Ecmo And Ecpr: A Geospatial Study Of Transport Networks And Disparities., Allan M. Joseph, Andrew J. Lautz, Carlie N. Myers, Ranjit S. Chima, Juan P. Gurria, Shafee Salloum, Wendy Hasson, Matthew P. Malone, Jenna Miller, Maya L. Dewan

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND AND AIM: Extracorporeal membrane oxygenation (ECMO) can help children survive severe cardiac and/or respiratory failure, but it is only provided in specialized centers. There are disparities in access by ground transport to ECMO services, but it is unknown to what extent interfacility transfer systems can expand access. Additionally, the number of children who live in proximity to centers that perform extracorporeal cardiopulmonary resuscitation (ECPR) to be potential candidates in case of out-of-hospital cardiac arrest (OHCA) is unknown. We conducted a geospatial analysis to answer these questions.

METHODS: We conducted a geospatial analysis of the Extracorporeal Life Support Organization (ELSO) …

Preferences Of Health Professions Learners: A Scoping Review Of The Use And Role Of Dces In Health Professions Education, Sarah O'Neal, Natalie Smith, Jan Ostermann Ph.D., Binbin Zheng, Laiton Steele, Chris Gillette

Faculty Publications

While discrete choice experiments (DCE), have increasingly been used in the medical literature, little is known about the use of these methods for eliciting preferences from and about students and trainees in health professions. The objectives of this scoping review are to (1) describe the extent to which DCEs have been used in health professions’ education, (2) identify which health professionals have been studied, and (3) identify thematic areas of research in which these methods have been used thematic areas. Between June and September 2024, we conducted a scoping review of the PubMed/Medline, EconLit, Web of Science, and Global Index …

Gis Librarians' Involvement In Critical Information Literacy Instruction, Melissa Chomintra, Pete E. Pascuzzi

Libraries Faculty and Staff Scholarship and Research

Critical information literacy (CIL) is a theory and practice that considers the sociopolitical dimensions of information and knowledge production. As the field of geospatial information evolves, equipping librarians with the skills to critically engage with geospatial information becomes integral to facilitating informed research, promoting spatial literacy, and strengthening the accessibility of geospatial data for their user communities. To understand geospatial data librarians’ current involvement in CIL, librarians were surveyed to examine if they incorporate CIL into their instruction, how they incorporate CIL into their instruction, and what are the benefits and challenges of doing so. The survey gathered both quantitative …

Beyond Smoking: A Geospatial Investigation Of Factors Associated With Lung And Bronchus Cancer Risk In Pennsylvania, Tesla D. Dubois, Daniel Wiese, Kevin A. Henry, Shannon M. Lynch

Kimmel Cancer Center Faculty Papers

INTRODUCTION: While smoking is the leading cause of lung and bronchus cancer (LBC), additional exposures have been implicated and may explain the rise in LBC among never-smokers. To better understand the spatial distribution of LBC incidence and associated risk factors, this study aims to identify geographic areas with significantly elevated incidence rates in Pennsylvania and investigate the potential underlying risk factors.

METHODS: Using cancer registry data aggregated to the census tract level, spatial scan statistics were applied to detect areas of higher-than-expected LBC incidence across the state. Associations were then tested between census tract inclusion in a high-incidence area and …

Temporal Disparities In Diagnosis: The Critical Impact Of Laboratory Workflow Inefficiencies On Outcomes In Metabolic And Cardiovascular Disorders, Evans Dzreke, Celene Dzreke, Ramseyer Adekorang Asamoah, David Kanze

Health & Biomedical Sciences Faculty Publications

Diagnostic delays and laboratory process inefficiencies constitute a common but unaddressed dilemma in contemporary healthcare, quietly undermining patient outcomes in metabolic and cardiovascular illnesses where immediate intervention is critical. This seminal work goes beyond traditional operational viewpoints to demonstrate diagnostic inefficiency as an independent, adjustable risk factor with far-reaching implications. We rigorously quantified the impact of delayed test processing and reporting on clinical outcomes using a comprehensive mixed-methods approach that included multi-center retrospective cohort analysis (N=128,743 patients), real-time workflow mapping across 37 laboratories, in-depth case reviews, and economic modeling. Our findings challenged conventional wisdom by indicating that each 24-hour increase …

Materials Data Science Ontology(Mds-Onto): Unifying Domain Knowledge In Materials And Applied Data Science, Balashanmuga Priyan Rajamohan, Alexander C. Harding Bradley, Van D. Tran, Jonathan E. Gordon, Hayden W. Caldwell, Redad Mehdi, Gabriel Ponon, Quynh D. Tran, Ozan Dernek, Benjamin G. Pierce, Raymond Wieser, Weiqi Yue, Kiefer Lin, Jiana Kambo, Arafath Nihar, Pawan K. Tripathi, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, Roger H. French

Faculty Scholarship

Ontologies have gained popularity in the scientific community as a way to standardize terminologies in organizations’ data. Although certain cohorts have created frameworks with rules and guidelines on creating ontologies, there exist significant variations in how Materials Science ontologies are currently developed. We seek to provide guidance in the form of a unified automated framework for developing interoperable and modular ontologies for Materials Data Science that simplifies the ontology terms matching by establishing a semantic bridge up to the Basic Formal Ontology(BFO). This framework provides key recommendations on how ontologies should be positioned within the semantic web, what knowledge representation …

The “Marketplace” Myth: Addressing Amazon’S Defense To Product Liability Claims, Andrew Ackley

Seattle University Law Review Online

Many courts continue to analyze law as if we have not evolved from the early days of the internet, when Facebook was a “social networking” site, AOL made messages “instant,” and eBay let everyone auction random items. The internet connected people. Because it did not touch them, it could not harm them. However, with storefronts closing, brick-and-mortar retail chains declaring bankruptcy, and “Uber lots” popping up at airports, the internet “cloud” has touched down all over the country, and online businesses are now harming people just as human actors and brickand-mortar stores always have.

While generating thousands of new ride …

Towards The Next Generation Of Geospatial Artificial Intelligence, Gengchen Mai, Yiqun Xie, Xiaowei Jia, Ni Lao, Jinmeng Rao, Qing Zhu, Zeping Liu, Yao-Yi Chiang, Jiao, Junfeng

Research Collection College of Integrative Studies

Geospatial Artificial Intelligence (GeoAI), as the integration of geospatial studies and AI, has become one of the fastest-developing research directions in spatial data science and geography. This rapid change in the field calls for a deeper understanding of the recent developments and envision where the field is going in the near future. In this work, we provide a quantitative analysis of the GeoAI literature from the spatial, temporal, and semantic aspects. We briefly discuss the history of AI and GeoAI by highlighting some pioneering work. Then we discuss the current landscape of GeoAI by selecting five representative subdomains including remote …

A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery For Microclimate Studies, Vasantha Ramani, Marcel Ignatius, Joie Lim, Filip Biljecki, Clayton Miller

Research Collection College of Integrative Studies

Recently, the concept of a digital twin for the built environment has received significant attention due to its potential benefits to urban planners, engineers, and designers. The development of tools that aid in integrating real-world physical systems with digital capabilities is essential for advancing digital twin technology. In this work, we present one such digital twin tool that integrates the longitudinal thermal envelope data of buildings on the campus of the National University of Singapore with a virtual 3D model. Thermal images of the buildings were captured using a neighborhood-scale infrared observatory for a few months. The temperature profile of …

Urban School Neighbourhoods Dominated By Unhealthy Food Retailers And Advertisements In Greater Tunis: A Geospatial Study In The Midst Of The Nutrition Transition, Christelle Akl, Nehmat El-Helou, Gloria Safadi, Aline Semaan, Aya El Sammak, Tarek Trabelsi, Sonia Sassi, Chaza Akik, Jalila El Ati, Pierre Traissac, Hala Ghattas Ph.D.

Faculty Publications

Objective:

Food environments are a major determinant of children’s nutritional status. Scarce evidence on food environments exists in low- and middle-income countries (LMIC). This study aims to fill this gap by documenting the obesogenicity of food environments around schools in Greater Tunis, Tunisia – an LMIC of the Middle East and North Africa region with an ongoing nutrition transition and increasing rates of childhood obesity.

Design:

In this cross-sectional study, we assessed built food environments around fifty primary schools. Ground-truthing was performed to collect geographic coordinates and pictures of food retailers and food advertisement sets within an 800-m road network …

Identifying Sources Of Antibiotic Resistance Genes In The Environment Using The Microbial Find, Inform, And Test Framework, Corinne Wiesner-Friedman, Rachelle E. Beattie, Jill R. Stewart, Krassimira R. Hristova, Marc L. Serre

Biological Sciences Faculty Research and Publications

Introduction: Antimicrobial resistance (AMR) is an increasing public health concern for humans, animals, and the environment. However, the contributions of spatially distributed sources of AMR in the environment are not well defined.

Methods: To identify the sources of environmental AMR, the novel microbial Find, Inform, and Test (FIT) model was applied to a panel of five antibiotic resistance-associated genes (ARGs), namely, erm(B), tet(W), qnrA, sul1, and intI1, quantified from riverbed sediment and surface water from a mixed-use region.

Results: A one standard deviation increase in the modeled contributions of elevated AMR from bovine sources or land-applied waste sources [land application …

A Geospatial Approach To Identify Patterns Of Antibiotic Susceptibility At A Neighborhood Level In Wisconsin, United States, Laurel Legenza, Kyle Mcnair, Song Gao, James P Lacy, Brooke J Olson, Thomas R Fritsche, Lucas T Schulz, Samantha Lamuro, Frances Spray-Larson, Tahmeena Siddiqui, Warren E Rose

Faculty, Staff and Student Publications

The global threat of antimicrobial resistance (AMR) varies regionally. This study explores whether geospatial analysis and data visualization methods detect both clinically and statistically significant variations in antibiotic susceptibility rates at a neighborhood level. This observational multicenter geospatial study collected 10 years of patient-level antibiotic susceptibility data and patient addresses from three regionally distinct Wisconsin health systems (UW Health, Fort HealthCare, Marshfield Clinic Health System [MCHS]). We included the initial Escherichia coli isolate per patient per year per sample source with a patient address in Wisconsin (N = 100,176). Isolates from U.S. Census Block Groups with less than 30 isolates …

Spatiotemporal Analysis Of Covid-19 Lockdown Impact On The Land Surface Temperatures Of Different Land Cover Types In Louisiana, Priscilla Loh, Yaw Twumasi, Zhu H. Ning, Matilda Anokye, Diana B. Frimpong, Judith Oppong, Abena B. Asare-Ansah, Rechael Naa Dedei Armah, Caroline Y. Apraku

Student Presentations

The COVID-19 pandemic posed a serious threat to life on the entire planet, necessitating the imposition of a lockdown mechanism that restricted people’s movements to stop the disease’s spread. This period experienced a decline in air pollution emissions and some environmental changes, offering a rare opportunity to understand the effects of fewer human activities on the earth’s temperature. Hence, this study compares the changes in Land Surface Temperature (LST) that were observed prior to the pandemic (March & April 2019) and during the pandemic lockdown (March & April 2020) of three parishes in Louisiana. The data for this study was …

Exploring Inequality At Copan, Honduras: A 2d And 3d Geospatial Comparison Of Household Wealth, Heather Richards-Rissetto

Department of Anthropology: Faculty Publications

The archaeological site of Copan was a cultural and commercial crossroads at the southeastern Maya frontier. Research indicates that the demographics and sociopolitical circumstances of the city of Copan and its location within a circumscribed pocket (24 km²) of the larger Copan Valley varied through time. These circumstances not only influenced its social, political, and economic interactions, but likely the size, construction, and organization of households, specifically plazuelas. Copan’s plazuelas differ from those located in other Maya regions because they often have smaller house platforms, comprise more than a single patio, and exhibit a larger than normal …

Food Security & Urban Agriculture - Considerations For Soil Improvements And Crop Planning, Aaron Sedivy

Doctor of Plant Health Program: Dissertations and Student Research

Urban agriculture provides many benefits, such as energy conservation, rainwater remediation, increased aesthetic and property value, and therapeutic use for physical, cognitive, and emotional wellbeing. Urban agriculture can also provide critical integrity to each pillar of food security: availability, access, utilization, and stability. As urban agricultural activities increase, social interactions will follow in concert. This will provide opportunities for building trust through the two-way communication of contrasting perspectives, cultures, and beliefs using impartial narratives. Growers can use knowledge and understanding gained from these positive social interactions to formulate their personal paradigms for practice and better meet the needs of each …

Machine Learning For Modeling Wildfire Susceptibility At The State Level: An Example From Arkansas, Usa, Abdullah Al Saim, Mohamed H. Aly

Geosciences Faculty Publications and Presentations

Fire susceptibility modeling is crucial for sustaining and managing forests among many other valuable land resources. With 56% of its area covered by forests, Arkansas is known as the "natural state". About 1000 wildfires occurred and burned more than 10,000 acres each year during 1981-2018. In this paper, we use remote-sensing-based machine learning methods to address the natural and anthropogenic factors influencing wildfires and model fire susceptibility in Arkansas. Among the 15 explored variables, potential evapotranspiration, soil moisture, Palmer drought severity index, and dry season precipitation were recognized as the most significant factors contributing to the fire density. The obtained …

Transforming Social Determinants To Educational Outcomes: Geospatial Considerations, Gary Szirony, S Banerjee, Mccune, Davis

Walden Faculty and Staff Publications

No abstract provided.

‘Big’ And ‘Little’ Quo Vadis? In The United States, 1913–1916: Using Gis To Map Rival Modes Of Feature Cinema During The Transitional Era, Jeffrey Klenotic

Faculty Publications

This article emanates from a geospatial database of over 600 premieres of the Cines company’s Quo Vadis? (1913), an eight-reel film distributed by George Kleine, and nearly 250 premieres of the Quo Vadis Film Company’s Quo Vadis? (1913), a three-reel film of ambiguous origins distributed by Paul De Outo. By mapping local premieres of both films across the United States from 1913 through 1916, the data show with spatiotemporal precision the spread of Quo Vadis? as one of cinema’s early blockbuster titles. Yet within this national phenomenon, the two films’ footprints reveal differing cultural geographies served by competing efforts to …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole Hair, Nicholas Yell, Zhenlong Li, Shan Qiao Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal-geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …

Temporal Geospatial Analysis Of Covid-19 Pre-Infection Determinants Of Risk In South Carolina, Tianchu Lyu, Nicole L. Hair, Nicholas Yell, Zhenlong Li, Shan Qiao, Chen Liang, Xiaoming Li

Faculty Publications

Disparities and their geospatial patterns exist in morbidity and mortality of COVID-19 patients. When it comes to the infection rate, there is a dearth of research with respect to the disparity structure, its geospatial characteristics, and the pre-infection determinants of risk (PIDRs). This work aimed to assess the temporal–geospatial associations between PIDRs and COVID-19 infection at the county level in South Carolina. We used the spatial error model (SEM), spatial lag model (SLM), and conditional autoregressive model (CAR) as global models and the geographically weighted regression model (GWR) as a local model. The data were retrieved from multiple sources including …

Marine Artificial Light At Night: An Empirical And Technical Guide, Thomas W. Davies, Svenja Tidau, Andrew J. Grimmer

School of Biological and Marine Sciences

No abstract provided.

Trends And Opportunities In Tick-Borne Disease Geography, Catherine A. Lippi, Sadie J. Ryan, Alexis L. White, Holly D. Gaff, Colin J. Carlson

Biological Sciences Faculty Publications

Tick-borne diseases are a growing problem in many parts of the world, and their surveillance and control touch on challenging issues in medical entomology, agricultural health, veterinary medicine, and biosecurity. Spatial approaches can be used to synthesize the data generated by integrative One Health surveillance systems, and help stakeholders, managers, and medical geographers understand the current and future distribution of risk. Here, we performed a systematic review of over 8,000 studies and identified a total of 303 scientific publications that map tick-borne diseases using data on vectors, pathogens, and hosts (including wildlife, livestock, and human cases). We find that the …

Geocoding Cryptosporidiosis Cases In Ireland (2008–2017)—Development Of A Reliable, Reproducible, Multiphase Geocoding Methodology, Lisa Domegan, Patricia Garvey, Paul Mckeown, Howard Johnson, Paul Hynds, Jean O'Dwyer, Coilín Óhaiseadha

Articles

Background: Geocoding (the process of converting a text address into spatial data) quality may affect geospatial epidemiological study findings. No national standards for best geocoding practice exist in Ireland. Irish postcodes (Eircodes) are not routinely recorded for infectious disease notifications and > 35% of dwellings have non-unique addresses. This may result in incomplete geocoding and introduce systematic errors into studies.

Aims: This study aimed to develop a reliable and reproducible methodology to geocode cryptosporidiosis notifications to fine-resolution spatial units (Census 2016 Small Areas), to enhance data validity and completeness, thus improving geospatial epidemiological studies.

Methods: A protocol was devised to utilise …

Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan

Faculty Publications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …

Characterization Of Severe Asthma Worldwide: Data From The International Severe Asthma Registry, E Wang, Me Wechsler, Tn Tran, Lg Heaney, Rc Jones, An Menzies-Gow, J Busby, Dj Jackson, Pe Pfeffer, Ck Rhee, Ys Cho, Gw Canonica, E Heffler, Pg Gibson, M Hew, M Peters, Es Harvey, M Alacqua, J Zangrilli, L Bulathsinhala, Va Carter, I Chaudhry, N Eleangovan, N Hosseini, Rb Murray, Db Price

Peninsula Medical School

BackgroundClinical characteristics of the international population with severe asthma are unknown. Intercountry comparisons are hindered by variable data collection within regional and national severe asthma registries. We aimed to describe demographic and clinical characteristics of patients treated in severe asthma services in the United States, Europe, and the Asia-Pacific region.MethodsThe International Severe Asthma Registry retrospectively and prospectively collected data in patients with severe asthma (≥ 18 years old), receiving Global Initiative for Asthma (GINA) Step 5 treatment or with severe asthma remaining uncontrolled at GINA Step 4. Baseline demographic and clinical data were collected from the United States, United Kingdom, …

Active Learning In Accounting And The Impact On Student Engagement, Daniel King

Conference papers

This paper reports on a range of active learning and online strategies that were introduced into an introductory accounting module. Up until recently the traditional lecture format, where students sit passively and the lecturer delivers the lecture, has been the dominant format in higher education. However, research has shown that formats which provide students with a more active and engaged learning environment result in deeper learning The active learning strategies discussed in this paper were based around an "Active Learning Exercise" where students worked in a cooperative group environment. Before, during and after the "Active Learning Exercise" an additional range …