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Full-Text Articles in Physical Sciences and Mathematics

Predictive Power Of Wastewater For Nowcasting Infectious Disease Transmission: A Retrospective Case Study Of Five Sewershed Areas In Louisville, Kentucky, Fayette Klaassen, Rochelle H. Holm, Ted Smith, Ted Cohen, Aruni Bhatnagar, Nicolas A. Menzies Jan 2024

Predictive Power Of Wastewater For Nowcasting Infectious Disease Transmission: A Retrospective Case Study Of Five Sewershed Areas In Louisville, Kentucky, Fayette Klaassen, Rochelle H. Holm, Ted Smith, Ted Cohen, Aruni Bhatnagar, Nicolas A. Menzies

Faculty Scholarship

Background: Epidemiological nowcasting traditionally relies on count surveillance data. The availability and quality of such count data may vary over time, limiting representation of true infections. Wastewater data correlates with traditional surveillance data and may provide additional value for nowcasting disease trends. Methods: We obtained SARS-CoV-2 case, death, wastewater, and serosurvey data for Jefferson County, Kentucky (USA), between August 2020 and March 2021, and parameterized an existing nowcasting model using combinations of these data. We assessed the predictive performance and variability at the sewershed level and compared the effects of adding or replacing wastewater data to case and death reports. …


All-Cause And Opioid-Related Mortality Compared Between Traumatic Spinal Cord Injury And The Us General Population, Jaden Whitehead, Beatrice Ugiliweneza Sep 2023

All-Cause And Opioid-Related Mortality Compared Between Traumatic Spinal Cord Injury And The Us General Population, Jaden Whitehead, Beatrice Ugiliweneza

The Cardinal Edge

Individuals with spinal cord injury (SCI) are susceptible to the misuse of opioids due to the introduction of these substances for pain management. There are very few studies examining the relationship between unintentional deaths caused by opioid usage following spinal cord injury. The objective of this study was to evaluate the trend of opioid-related mortality of individuals with spinal cord injury (SCI) over the years and compare these findings to the mortality rates due to opioid misuse in the general population. In this study, we used data provided by the National Spinal Cord Injury Model Systems (NSCIMS) for SCI 1999-2016 …


Online Dashboards For Sars-Cov-2 Wastewater Data Need Standard Best Practices: An Environmental Health Communication Agenda, Colleen C. Naughton, Rochelle H. Holm, Nancy J. Lin, Brooklyn P. James, Ted Smith May 2023

Online Dashboards For Sars-Cov-2 Wastewater Data Need Standard Best Practices: An Environmental Health Communication Agenda, Colleen C. Naughton, Rochelle H. Holm, Nancy J. Lin, Brooklyn P. James, Ted Smith

Faculty Scholarship

The COVID-19 pandemic has highlighted the benefits of wastewater surveillance to supplement clinical data. Numerous online information dashboards have been rapidly, and typically independently, developed to communicate environmental surveillance data to public health officials and the public. In this study, we review dashboards presenting SARS-CoV-2 wastewater data and propose a path toward harmonization and improved risk communication. A list of 127 dashboards representing 27 countries was compiled. The variability was high and encompassed aspects including the graphics used for data presentation (e.g., line/bar graphs, maps, and tables), log versus linear scale, and 96 separate ways of labeling SARS-CoV-2 wastewater concentrations. …


Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury Dec 2022

Bayesian Methods For Graphical Models With Neighborhood Selection., Sagnik Bhadury

Electronic Theses and Dissertations

Graphical models determine associations between variables through the notion of conditional independence. Gaussian graphical models are a widely used class of such models, where the relationships are formalized by non-null entries of the precision matrix. However, in high-dimensional cases, covariance estimates are typically unstable. Moreover, it is natural to expect only a few significant associations to be present in many realistic applications. This necessitates the injection of sparsity techniques into the estimation method. Classical frequentist methods, like GLASSO, use penalization techniques for this purpose. Fully Bayesian methods, on the contrary, are slow because they require iteratively sampling over a quadratic …


Wastewater-Informed Public Health Intervention Playbook Sep 2022

Wastewater-Informed Public Health Intervention Playbook

Sustain Magazine

As the SARS-CoV-2 pandemic quickly spread from country to country and continent to continent in 2020, governments and scientists needed a way to track COVID-19 through populations in order to position public health interventions in the most impactful locations. Having a decision-based risk framework may help to guide policy creation that could minimize or prevent possible outbreaks and surges of infection within communities. The University of Louisville in partnership with Louisville’s Department of Public Health and Wellness tested this strategy in 2021 and 2022. This Wastewater-Informed Public Health Intervention Playbook describes the decisions and actions of that academic and public …


Quantifying The Relationship Between Sub-Population Wastewater Samples And Community-Wide Sars-Cov-2 Seroprevalence, Ted Smith, Rochelle H. Holm, Rachel J. Keith, Alok R. Amraotkar, Chance R. Alvarado, Krzysztof Banecki, Boseung Choi, Ian Santisteban, Adrienne M. Bushau-Sprinkle, Kathleen T. Kitterman, Joshua Fuqua, Krystal T. Hamorsky, Kenneth E. Palmer, J. Michael Brick, Aruni Bhatnagar, Grzegorz A. Rempala Sep 2022

Quantifying The Relationship Between Sub-Population Wastewater Samples And Community-Wide Sars-Cov-2 Seroprevalence, Ted Smith, Rochelle H. Holm, Rachel J. Keith, Alok R. Amraotkar, Chance R. Alvarado, Krzysztof Banecki, Boseung Choi, Ian Santisteban, Adrienne M. Bushau-Sprinkle, Kathleen T. Kitterman, Joshua Fuqua, Krystal T. Hamorsky, Kenneth E. Palmer, J. Michael Brick, Aruni Bhatnagar, Grzegorz A. Rempala

Faculty Scholarship

Robust epidemiological models relating wastewater to community disease prevalence are lacking. Assessments of SARS-CoV-2 infection rates have relied primarily on convenience sampling, which does not provide reliable estimates of community disease prevalence due to inherent biases. This study conducted serial stratified randomized samplings to estimate the prevalence of SARS-CoV-2 antibodies in 3717 participants and obtained weekly samples of community wastewater for SARS-CoV-2 concentrations in Jefferson County, KY (USA) from August 2020 to February 2021. Using an expanded Susceptible-Infected-Recovered model, the longitudinal estimates of the disease prevalence were obtained and compared with the wastewater concentrations using regression analysis. The model analysis …


Sars-Cov-2 Rna Abundance In Wastewater As A Function Of Distinct Urban Sewershed Size, Rochelle H. Holm, Anish Mukherjee, Jayesh P. Rai, Ray A. Yeager, Daymond Talley, Shesh N. Rai, Aruni Bhatnagar, Ted Smith Mar 2022

Sars-Cov-2 Rna Abundance In Wastewater As A Function Of Distinct Urban Sewershed Size, Rochelle H. Holm, Anish Mukherjee, Jayesh P. Rai, Ray A. Yeager, Daymond Talley, Shesh N. Rai, Aruni Bhatnagar, Ted Smith

Faculty Scholarship

During the COVID-19 pandemic, wastewater-based epidemiology has emerged as a promising approach for monitoring SARS-CoV-2 prevalence on a community-level. Despite much being known about the utility of making these measurements in large wastewater treatment plants, little is known about the correlation with finer geographic resolution, such as those obtained through sewershed sub-area catchments. This study aims to identify community wastewater surveillance characteristics between sewershed areas that affect the strength of the association of SARS-CoV-2 RNA detection in a metropolitan area. For this, wastewater from 17 sewershed areas were sampled in Louisville/Jefferson County, Kentucky (USA), from August 2020 to April 2021 …


Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed Dec 2021

Deep Convolutional Neural Networks For Accurate Diagnosis Of Covid-19 Patients Using Chest X-Ray Image Databases From Italy, Canada, And The Usa, Amgad A. Salama, Samy H. Darwish, Samir M. Abdel-Mageed, Radwa A. Meshref, Ehab I. Mohamed

The University of Louisville Journal of Respiratory Infections

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), famously known as COVID-19, has quickly become a global pandemic. Chest X-ray (CXR) imaging has proven reliable, fast, and cost-effective for identifying COVID-19 infections, which proceeds to display atypical unilateral patchy infiltration in the lungs like typical pneumonia. We employed the deep convolutional neural network (DCNN) ResNet-34 to detect and classify CXR images from patients with COVID-19 and Viral Pneumonia and Normal Controls.

Methods: We created a single database containing 781 source CXR images from four different international sub-databases: the Società Italiana di Radiologia Medica e Interventistica (SIRM), the GitHub Database, the …


Projecting The Covid-19 Weekly Deaths And Hospitalizations For Jefferson County, Kentucky, Seyed Karimi, Natalie Dupre, W. Paul Mckinney, Bert B. Little, Naiya Patel, Sarah Moyer Jul 2020

Projecting The Covid-19 Weekly Deaths And Hospitalizations For Jefferson County, Kentucky, Seyed Karimi, Natalie Dupre, W. Paul Mckinney, Bert B. Little, Naiya Patel, Sarah Moyer

The University of Louisville Journal of Respiratory Infections

Introduction: The trends in the numbers of active hospitalizations and fatalities caused by the COVID-19 in Jefferson County, Kentucky, were projected over the period May 7 to August 20, 2020.

Methods: The projections provided in this report are from a susceptible-exposed-infectious-recovered (SEIR) model. The model was calibrated using the COVID-19 transmission dynamics parameters from relevant literature and clinical dynamics parameters from the county’s data. The model was used to measure the impact of public health policy interventions designed to contain the infection. The policy was modeled by its intervention day and impact on the transmission of the virus such that …


Sustainable Solutions, Fall/Winter 2020, Issue 41 Nov 2019

Sustainable Solutions, Fall/Winter 2020, Issue 41

Sustain Magazine

No abstract provided.


Environmentally Responsible Land Use, Spring/Summer 2010, Issue 22 Sep 2019

Environmentally Responsible Land Use, Spring/Summer 2010, Issue 22

Sustain Magazine

No abstract provided.


Sustainable Communities, Fall/Winter 2010, Issue 21 Sep 2019

Sustainable Communities, Fall/Winter 2010, Issue 21

Sustain Magazine

No abstract provided.


Sustainable Building, Spring/Summer 2009, Issue 20 Sep 2019

Sustainable Building, Spring/Summer 2009, Issue 20

Sustain Magazine

No abstract provided.


Environmental History, Fall/Winter 2009, Issue 19 Sep 2019

Environmental History, Fall/Winter 2009, Issue 19

Sustain Magazine

No abstract provided.


Student Research, Spring/Summer 2008, Issue 18 Sep 2019

Student Research, Spring/Summer 2008, Issue 18

Sustain Magazine

No abstract provided.


Evolving Pollution Prevention, Fall/Winter 2008, Issue 17 Sep 2019

Evolving Pollution Prevention, Fall/Winter 2008, Issue 17

Sustain Magazine

No abstract provided.


Climate Change, Spring/Summer 2007, Issue 16 Sep 2019

Climate Change, Spring/Summer 2007, Issue 16

Sustain Magazine

No abstract provided.


Our Energy Future, Fall/Winter 2007, Issue 15 Sep 2019

Our Energy Future, Fall/Winter 2007, Issue 15

Sustain Magazine

No abstract provided.


Land Conservation, Spring/Summer 2006, Issue 14 Sep 2019

Land Conservation, Spring/Summer 2006, Issue 14

Sustain Magazine

No abstract provided.


Pollution And Heart Disease, Fall/Winter 2006, Issue 13 Sep 2019

Pollution And Heart Disease, Fall/Winter 2006, Issue 13

Sustain Magazine

No abstract provided.


Green Cities, Spring/Summer 2005, Issue 12 Sep 2019

Green Cities, Spring/Summer 2005, Issue 12

Sustain Magazine

No abstract provided.


Global Sustainability, Fall/Winter 2005, Issue 11 Sep 2019

Global Sustainability, Fall/Winter 2005, Issue 11

Sustain Magazine

No abstract provided.


Environmental Justice, Spring/Summer 2004, Issue 10 Sep 2019

Environmental Justice, Spring/Summer 2004, Issue 10

Sustain Magazine

No abstract provided.


Kentucky's Environmental Future, Fall/Winter 2004, Issue 9 Sep 2019

Kentucky's Environmental Future, Fall/Winter 2004, Issue 9

Sustain Magazine

No abstract provided.


Urban Ecology, Spring/Summer 2003, Issue 8 Sep 2019

Urban Ecology, Spring/Summer 2003, Issue 8

Sustain Magazine

No abstract provided.


Urban Regeneration, Fall/Winter 2003, Issue 7 Sep 2019

Urban Regeneration, Fall/Winter 2003, Issue 7

Sustain Magazine

No abstract provided.


Urban Air Quality, Spring/Summer 2002, Issue 6 Sep 2019

Urban Air Quality, Spring/Summer 2002, Issue 6

Sustain Magazine

No abstract provided.


Sustainability Of Industrialized Agriculture, Fall/Winter 2002, Issue 5 Sep 2019

Sustainability Of Industrialized Agriculture, Fall/Winter 2002, Issue 5

Sustain Magazine

No abstract provided.


Urban Design For Environmental Protection, Spring/Summer 2001, Issue 4 Sep 2019

Urban Design For Environmental Protection, Spring/Summer 2001, Issue 4

Sustain Magazine

No abstract provided.


Stream Restoration, Spring/Summer 2011, Issue 24 Sep 2019

Stream Restoration, Spring/Summer 2011, Issue 24

Sustain Magazine

No abstract provided.