Mitigation behavior prior to COVID-19 vaccination availability is associated with COVID-19 infection and time to vaccination.
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2023-01
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Abstract
Background
Mitigation behaviors reduce the incidence of COVID-19 infection. Determining characteristics of groups defined by mitigation behaviors compliance may be useful to inform targeted public health policies and interventions. This study aimed to identify groups of individuals according to self-reported compliance with COVID-19 mitigation behaviors, define compliance class characteristics, and explore associations between compliance classes and important study and public health outcomes.Methods and findings
We studied 1,410 participants in the Cabarrus County COVID-19 Prevalence and Immunity longitudinal cohort study (June 2020 to December 2021) who were asked 10 questions regarding compliance with recommended COVID-19 mitigation behaviors. By Latent Class Analysis, 1,381 participants were categorized into 3 classes (most [49.4%], moderately [45.0%], and least [5.6%] compliant). Compared with the most compliant class, the least and moderately compliant classes were younger (mean = 61.9 v. 59.0 v. 53.8 years), had fewer medical conditions per individual (1.37 v. 1.08 v. 0.77), and differed in Hispanic ethnicity (6.2% v. 2.8% v. 9.1%) and COVID-19 vaccine intention (65.8% v. 59.8% v. 35.1%). Compared to the most compliant class, the least compliant class had fewer women (54.6% v. 76.3%), fewer insured individuals (92.2% v. 97.4%), and more withdrew from study participation early (28.6% v. 16.0%). Relative to the most compliant class, the least compliant class had a higher likelihood of COVID-19 infection (OR = 2.08 [95% CI 1.13, 3.85]), lower rate of COVID-19 vaccination (72.6% v. 95.1%), and longer time to 50% COVID-19 vaccination following eligibility (8-9 vs 16 days).Conclusions
Classes defined by mitigation behaviors compliance had distinct characteristics, including age, sex, medical history, and ethnicity, and were associated with important study and public health outcomes. Targeted public health policies and interventions according to the compliance group characteristics may be of value in current and future pandemic responses to increase compliance.Type
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Neighbors, Coralei E, Richard Sloane, Carl F Pieper, Douglas Wixted, Christopher W Woods and L Kristin Newby (2023). Mitigation behavior prior to COVID-19 vaccination availability is associated with COVID-19 infection and time to vaccination. PloS one, 18(3). p. e0283381. 10.1371/journal.pone.0283381 Retrieved from https://hdl.handle.net/10161/29284.
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Coralei Neighbors
Coralei Neighbors is a second-year Ph.D. candidate in Population Health Sciences at Duke University School of Medicine. Her research focuses on the intersection of infectious diseases, health economics, and global health policy. With a strong foundation in epidemiology and disease surveillance, gained through a Bachelor of Science from Baylor University and a Master of Science in Global Health from Duke University, Coralei has experience in tackling global health challenges through a dual lens of scientific inquiry and policy analysis.
Her research encompasses infectious disease surveillance, economic modeling, and policy evaluation. With experience in both national and international settings, she is currently contributing to infectious disease surveillance initiatives and developing models to assess the economic impact and sustainability of vaccines and other health interventions in diverse populations. Coralei's work aims to inform the development of evidence-based policies to improve global health outcomes.
Carl F. Pieper
Analytic Interests.
1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models.
2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multiple variables over time (e.g., physical and cognitive functioning and Blood Pressure). My current work involves methodologies in simultaneous estimation of trajectories for multiple variables within and between domains, modeling co-occuring change.
Areas of Substantive interest: (1) Experimental design and analysis in gerontology and geriatrics, and psychiatry,
(2) Multivariate repeated measures designs,
Douglas Wixted
Christopher Wildrick Woods
1. Emerging Infections
2. Global Health
3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics
5. Bioterrorism Preparedness
6. Surveillance for communicable diseases
7. Antimicrobial resistance
Laura Kristin Newby
Research Description
General Focus: Clinical investigation the process and treatment of acute and chronic coronary artery disease and systems issues for delivery of care to patients with these illnesses. Particular interests include management of patients with chest pain and unstable angina, evaluation of the use of biochemical markers other than CK-MB for diagnosis and risk stratification in these patients, issues related to coronary artery disease in women, and systems issues regarding optimizing the process of delivery of care to patients with acute and chronic coronary artery disease. Finally, I have a strong interest in defining the genetic contribution to development of coronary artery disease.
Key words: coronary artery disease acute myocardial infarction unstable angina chest pain women biochemical markers risk stratification genetics
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