Medicine and Health Sciences Commons^™

Sars-Cov-2 Serostatus And Covid-19 Illness Characteristics By Variant Time Period In Non-Hospitalized Children And Adolescents, Sarah E Messiah, Michael D Swartz, Rhiana A Abbas, Yashar Talebi, Harold W Kohl, Melissa Valerio-Shewmaker, Stacia M Desantis, Ashraf Yaseen, Steven H Kelder, Jessica A Ross, Lindsay N Padilla, Michael O Gonzalez, Leqing Wu, David Lakey, Jennifer A Shuford, Stephen J Pont, Eric Boerwinkle

Journal Articles

OBJECTIVE: to describe COVID-19 illness characteristics, risk factors, and SARS-CoV-2 serostatus by variant time period in a large community-based pediatric sample.

DESIGN: Data were collected prospectively over four timepoints between October 2020 and November 2022 from a population-based cohort ages 5 to 19 years old.

SETTING: State of Texas, USA.

PARTICIPANTS: Participants ages 5 to 19 years were recruited from large pediatric healthcare systems, Federally Qualified Healthcare Centers, urban and rural clinical practices, health insurance providers, and a social media campaign.

EXPOSURE: SARS-CoV-2 infection.

MAIN OUTCOME(S) AND MEASURE(S): SARS-CoV-2 antibody status was assessed by the Roche Elecsys

RESULTS: Over half …

Antibody Duration After Infection From Sars-Cov-2 In The Texas Coronavirus Antibody Response Survey, Michael D Swartz, Stacia M Desantis, Ashraf Yaseen, Frances A Brito, Melissa A Valerio-Shewmaker, Sarah E Messiah, Luis G Leon-Novelo, Harold W Kohl, Cesar L Pinzon-Gomez, Tianyao Hao, Shiming Zhang, Yashar Talebi, Joy Yoo, Jessica R Ross, Michael O Gonzalez, Leqing Wu, Steven H Kelder, Mark Silberman, Samantha Tuzo, Stephen J Pont, Jennifer A Shuford, David Lakey, Eric Boerwinkle

Journal Articles

Understanding the duration of antibodies to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus that causes COVID-19 is important to controlling the current pandemic. Participants from the Texas Coronavirus Antibody Response Survey (Texas CARES) with at least 1 nucleocapsid protein antibody test were selected for a longitudinal analysis of antibody duration. A linear mixed model was fit to data from participants (n = 4553) with 1 to 3 antibody tests over 11 months (1 October 2020 to 16 September 2021), and models fit showed that expected antibody response after COVID-19 infection robustly increases for 100 days postinfection, and predicts …

Wastewater Pandemic Preparedness: Toward An End-To-End Pathogen Monitoring Program, Justin R Clark, Austen Terwilliger, Vasanthi Avadhanula, Michael Tisza, Juwan Cormier, Sara Javornik-Cregeen, Matthew Clayton Ross, Kristi Louise Hoffman, Catherine Troisi, Blake Hanson, Joseph Petrosino, John Balliew, Pedro A Piedra, Janelle Rios, Jennifer Deegan, Cici Bauer, Fuqing Wu, Kristina D Mena, Eric Boerwinkle, Anthony W Maresso

Journal Articles

Molecular analysis of public wastewater has great potential as a harbinger for community health and health threats. Long-used to monitor the presence of enteric viruses, in particular polio, recent successes of wastewater as a reliable lead indicator for trends in SARS-CoV-2 levels and hospital admissions has generated optimism and emerging evidence that similar science can be applied to other pathogens of pandemic potential (PPPs), especially respiratory viruses and their variants of concern (VOC). However, there are substantial challenges associated with implementation of this ideal, namely that multiple and distinct fields of inquiry must be bridged and coordinated. These include engineering, …

Methodology To Estimate Natural- And Vaccine-Induced Antibodies To Sars-Cov-2 In A Large Geographic Region, Stacia M Desantis, Luis G León-Novelo, Michael D Swartz, Ashraf S Yaseen, Melissa A Valerio-Shewmaker, Yashar Talebi, Frances A Brito, Jessica A Ross, Harold W Kohl, Sarah E Messiah, Steve H Kelder, Leqing Wu, Shiming Zhang, Kimberly A Aguillard, Michael O Gonzalez, Onyinye S Omega-Njemnob, David Lakey, Jennifer A Shuford, Stephen Pont, Eric Boerwinkle

Journal Articles

Accurate estimates of natural and/or vaccine-induced antibodies to SARS-CoV-2 are difficult to obtain. Although model-based estimates of seroprevalence have been proposed, they require inputting unknown parameters including viral reproduction number, longevity of immune response, and other dynamic factors. In contrast to a model-based approach, the current study presents a data-driven detailed statistical procedure for estimating total seroprevalence (defined as antibodies from natural infection or from full vaccination) in a region using prospectively collected serological data and state-level vaccination data. Specifically, we conducted a longitudinal statewide serological survey with 88,605 participants 5 years or older with 3 prospective blood draws beginning …

Comprehensive Characterization Of Covid-19 Patients With Repeatedly Positive Sars-Cov-2 Tests Using A Large U.S. Electronic Health Record Database., Xiao Dong, Yujia Zhou, Xiao-Ou Shu, Elmer V Bernstam, Rebecca Stern, David M Aronoff, Hua Xu, Loren Lipworth

Journal Articles

In the absence of genome sequencing, two positive molecular tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) separated by negative tests, prolonged time, and symptom resolution remain the best surrogate measure of possible reinfection. Using a large electronic health record database, we characterized clinical and testing data for 23 patients with repeatedly positive SARS-CoV-2 PCR test results ≥60 days apart, separated by ≥2 consecutive negative test results. The prevalence of chronic medical conditions, symptoms, and severe outcomes related to coronavirus disease 19 (COVID-19) illness were ascertained. The median age of patients was 64.5 years, 40% were Black, and 39% …

Genetic And Non-Genetic Factors Affecting The Expression Of Covid-19-Relevant Genes In The Large Airway Epithelium, Silva Kasela, Victor E Ortega, Molly Martorella, Suresh Garudadri, Jenna Nguyen, Elizabeth Ampleford, Anu Pasanen, Srilaxmi Nerella, Kristina L Buschur, Igor Z Barjaktarevic, R Graham Barr, Eugene R Bleecker, Russell P Bowler, Alejandro P Comellas, Christopher B Cooper, David J Couper, Gerard J Criner, Jeffrey L Curtis, Meilan K Han, Nadia N Hansel, Eric A Hoffman, Robert J Kaner, Jerry A Krishnan, Fernando J Martinez, Merry-Lynn N Mcdonald, Deborah A Meyers, Robert Paine, Stephen P Peters, Mario Castro, Loren C Denlinger, Serpil C Erzurum, John V Fahy, Elliot Israel, Nizar N Jarjour, Bruce D Levy, Xingnan Li, Wendy C Moore, Sally E Wenzel, Charles Langelier, Prescott G Woodruff, Tuuli Lappalainen, Stephanie A Christenson

Journal Articles

BACKGROUND: The large airway epithelial barrier provides one of the first lines of defense against respiratory viruses, including SARS-CoV-2 that causes COVID-19. Substantial inter-individual variability in individual disease courses is hypothesized to be partially mediated by the differential regulation of the genes that interact with the SARS-CoV-2 virus or are involved in the subsequent host response. Here, we comprehensively investigated non-genetic and genetic factors influencing COVID-19-relevant bronchial epithelial gene expression.

METHODS: We analyzed RNA-sequencing data from bronchial epithelial brushings obtained from uninfected individuals. We related ACE2 gene expression to host and environmental factors in the SPIROMICS cohort of smokers with …

Covid-19 Testnorm: A Tool To Normalize Covid-19 Testing Names To Loinc Codes., Xiao Dong, Jianfu Li, Ekin Soysal, Jiang Bian, Scott L Duvall, Elizabeth Hanchrow, Hongfang Liu, Kristine E Lynch, Michael Matheny, Karthik Natarajan, Lucila Ohno-Machado, Serguei Pakhomov, Ruth Madeleine Reeves, Amy M Sitapati, Swapna Abhyankar, Theresa Cullen, Jami Deckard, Xiaoqian Jiang, Robert Murphy, Hua Xu

Journal Articles

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions. In this study, we addressed the challenge of automating the normalization of COVID-19 diagnostic tests, which are critical data elements, but for which controlled terminology terms were published after clinical implementation. We developed a simple but effective rule-based tool called COVID-19 TestNorm to automatically normalize local COVID-19 testing names to standard LOINC (Logical Observation Identifiers Names and Codes) …