Cole Brokamp
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View article: Racial and Socioeconomic Fairness of Area-Level Traffic-Related Air Pollution Measure Aggregation
Racial and Socioeconomic Fairness of Area-Level Traffic-Related Air Pollution Measure Aggregation Open
The Environmental Protection Agency's Environmental Justice Screen traffic proximity (EJ Screen) and the Department of Transportation's Average Annual Daily Traffic (AADT) commonly serve as proxies of traffic-related pollution exposure. Ho…
View article: Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression
Hypercubes to identify geomarkers of rapid cystic fibrosis lung disease progression Open
The proposed method is a useful approach for selecting a small set of truly relevant demographic, clinical, and place-based predictors of rapid lung function decline while accounting for the complex correlations inherent in longitudinal lu…
View article: Precision risk assessment for pediatric hospitalization using address-level data in Cincinnati, Ohio
Precision risk assessment for pediatric hospitalization using address-level data in Cincinnati, Ohio Open
Objective This study leveraged residence- and neighborhood-specific socio-environmental data linked to population-wide healthcare data to characterize risk for pediatric hospitalization for every residential address in Cincinnati, Ohio. Ma…
View article: Outdoor air pollution and psychiatric symptoms in adolescents: a study of peripheral inflammatory marker associations
Outdoor air pollution and psychiatric symptoms in adolescents: a study of peripheral inflammatory marker associations Open
Introduction Fine particulate matter (PM 2.5 ) air pollution is associated with increased internalizing symptoms (e.g. depressive and anxiety symptoms), particularly during adolescence—a critical period for the emergence of anxiety disorde…
View article: Comparing Machine and Deep Learning Models for Pediatric Anxiety Classification using Structured EHRs and Area-based Measures of Health Data
Comparing Machine and Deep Learning Models for Pediatric Anxiety Classification using Structured EHRs and Area-based Measures of Health Data Open
Objective This study investigates the performance of various machine learning (ML) and deep learning (DL) models to classify pediatric patients at risk of anxiety disorders using electronic health records (EHRs). By leveraging EHR data and…
View article: Reply to: Comment on Anemia in Young Children and the Association With Socioeconomic Deprivation Indices
Reply to: Comment on Anemia in Young Children and the Association With Socioeconomic Deprivation Indices Open
View article: A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data
A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data Open
Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially …
View article: Anemia in Young Children and the Association With Socioeconomic Deprivation Indices
Anemia in Young Children and the Association With Socioeconomic Deprivation Indices Open
Background Anemia is a global and local child health problem, with consequences that include long‐term neurocognitive deficits. This study aimed to determine the prevalence of anemia in young children living in an urban environment and eva…
View article: Formulating and evaluating time series algorithms to forecast daily asthma hospital admissions
Formulating and evaluating time series algorithms to forecast daily asthma hospital admissions Open
Introduction: Asthma exacerbations are frequent causes of pediatric hospital admissions. We sought to develop a time series algorithm to forecast next-day daily asthma hospitalizations. Methods: Daily hospitalizations for asthma were colle…
View article: Acute Exposure to Ambient Particulate Matter and Pulmonary Exacerbations: A Case-Crossover Study
Acute Exposure to Ambient Particulate Matter and Pulmonary Exacerbations: A Case-Crossover Study Open
View article: Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression
Spike and Slab Regression for Nonstationary Gaussian Linear Mixed Effects Modeling of Rapid Disease Progression Open
Select measures of social and environmental determinants of health (referred to as “geomarkers”), predict rapid lung function decline in cystic fibrosis (CF), defined as a prolonged decline relative to patient and/or center‐level norms. Th…
View article: dpkg: Create, Stow, and Read Data Packages
dpkg: Create, Stow, and Read Data Packages Open
View article: Do area- and individual-level sociodemographic characteristics modify the association of air pollution with incident asthma in the ECHO program?
Do area- and individual-level sociodemographic characteristics modify the association of air pollution with incident asthma in the ECHO program? Open
View article: The Role of Environmental Exposures on Survival After Non-Small Cell Lung Cancer Resection
The Role of Environmental Exposures on Survival After Non-Small Cell Lung Cancer Resection Open
Increased PM2.5 exposure is associated with worse overall survival in resected NSCLC and was a more significant factor than race and material deprivation in this population. Interventions to reduce environmental air pollution co…
View article: Racial Fairness of Individual- and Community-Level Proxies of Socioeconomic Status Among Birthing Parent–Child Dyads
Racial Fairness of Individual- and Community-Level Proxies of Socioeconomic Status Among Birthing Parent–Child Dyads Open
View article: Particulate Matter Exposure and Default Mode Network Equilibrium During Early Adolescence
Particulate Matter Exposure and Default Mode Network Equilibrium During Early Adolescence Open
Background: Air pollution exposure has been associated with adverse cognitive and mental health outcomes in children, adolescents, and adults, although youth may be particularly susceptible given ongoing brain development. Ho…
View article: A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data Open
Joint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially …
View article: Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium
Early-Life Exposure to Air Pollution and Childhood Asthma Cumulative Incidence in the ECHO CREW Consortium Open
Importance Exposure to outdoor air pollution contributes to childhood asthma development, but many studies lack the geographic, racial and ethnic, and socioeconomic diversity to evaluate susceptibility by individual-level and community-lev…
View article: Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness
Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness Open
Introduction: Patients with cystic fibrosis (CF) experience frequent episodes of acute decline in lung function called pulmonary exacerbations (PEx). An existing clinical and place-based precision medicine algorithm that accurately predict…
View article: Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States
Social-environmental phenotypes of rapid cystic fibrosis lung disease progression in adolescents and young adults living in the United States Open
View article: Report-Back of Personal Air Sampling Results and Study Participants’ Perceived Knowledge, Attitudes, and Awareness of Air Pollution
Report-Back of Personal Air Sampling Results and Study Participants’ Perceived Knowledge, Attitudes, and Awareness of Air Pollution Open
View article: Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data
Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data Open
The joint modeling of longitudinal and time-to-event outcomes has become a popular tool in follow-up studies. However, fitting Bayesian joint models to large datasets, such as patient registries, can require extended computing times. To sp…
View article: 618 Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest U.S. cystic fibrosis cohort
618 Environmental exposures and spatiotemporal effects that characterize rapid lung function decline in a Midwest U.S. cystic fibrosis cohort Open
View article: 624 Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness
624 Evaluating precision medicine tools in cystic fibrosis for racial and ethnic fairness Open
View article: 622 Hypercubes to identify key environmental exposures predictive of rapid cystic fibrosis lung disease progression
622 Hypercubes to identify key environmental exposures predictive of rapid cystic fibrosis lung disease progression Open
View article: Racial Disparities in Pediatric Inflammatory Bowel Disease Care: Differences in Outcomes and Health Service Utilization Between Black and White Children
Racial Disparities in Pediatric Inflammatory Bowel Disease Care: Differences in Outcomes and Health Service Utilization Between Black and White Children Open
View article: Lung function and secondhand smoke exposure among children with cystic fibrosis: A Bayesian meta-analysis
Lung function and secondhand smoke exposure among children with cystic fibrosis: A Bayesian meta-analysis Open
View article: Air pollution exposure and social responsiveness in childhood: The cincinnati combined childhood cohorts
Air pollution exposure and social responsiveness in childhood: The cincinnati combined childhood cohorts Open
View article: Software Application Profile: DeGAUSS – Decentralized Geomarker Assessment for Multi-Site Studies
Software Application Profile: DeGAUSS – Decentralized Geomarker Assessment for Multi-Site Studies Open
Motivation: DeGAUSS is a software application for geocoding and geomarker assessment that circumvents barriers related to cost and reproducibility presented by conventional approaches. Most importantly, DeGAUSS safeguards protected health …
View article: Built environment factors predictive of early rapid lung function decline in cystic fibrosis
Built environment factors predictive of early rapid lung function decline in cystic fibrosis Open
Background The extent to which environmental exposures and community characteristics of the built environment collectively predict rapid lung function decline, during adolescence and early adulthood in cystic fibrosis (CF), has not been ex…