Influenza Humans Commons^™

Cost Effectiveness Of School-Located Influenza Vaccination Programs For Elementary And Secondary School Children., Byung-Kwang Yoo, Stanley J. Schaffer, Sharon Humiston, Cynthia M. Rand, Nicolas P N Goldstein, Christina S. Albertin, Cathleen Concannon, Peter G. Szilagyi

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Studies have noted variations in the cost-effectiveness of school-located influenza vaccination (SLIV), but little is known about how SLIV's cost-effectiveness may vary by targeted age group (e.g., elementary or secondary school students), or vaccine consent process (paper-based or web-based). Further, SLIV's cost-effectiveness may be impacted by its spillover effect on practice-based vaccination; prior studies have not addressed this issue.

METHODS: We performed a cost-effectiveness analysis on two SLIV programs in upstate New York in 2015-2016: (a) elementary school SLIV using a stepped wedge design with schools as clusters (24 suburban and 18 urban schools) and (b) secondary school SLIV …

Parameter Identification For A Stochastic Seirs Epidemic Model: Case Study Influenza, Olusegun M. Otunuga, Anna Mummert

Biology and Medicine Through Mathematics Conference

No abstract provided.

The Efficacy Of An Educational Intervention To Improve Low Influenza Vaccination Rates Among Federal Health Care Workers, Cynthia Berfect-Shelby

Electronic Theses and Dissertations

Influenza is a preventable communicable illness that has a significant impact on people of all ages. In 2018 it was estimated that 80,000 people died of influenza-related illnesses. Infants and elderly people are among the most vulnerable populations. The Centers for Disease Control and Prevention and Healthy People 2020 recommend that health care facilities have a 90% vaccination rate. Despite the recommendations and a mandatory directive, many facilities within the Veterans Health Administration struggle to reach influenza vaccination rates above 60%. Pender’s health promotion model was used as the theoretical framework to explore the reasons why health care workers refuse …

Assessment Of Pneumonia Severity Indices As Mortality Predictors, Connor L. English, Thomas Chandler, Brian E. Guinn, Stephen P. Furmanek, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

BACKGROUND

The leading cause of infectious disease death in the United States is community-acquired pneumonia (CAP). Several pneumonia severity indices exist and are widely used as tools to assist physicians regarding site of care based on risk of death. However, limited data exists that discerns which of the most commonly used severity scores is the best predictor of mortality across multiple time points. The objective of this study is to determine the best mortality predictor at different time points between four of the most commonly used pneumonia severity scores.

METHODS

This was a secondary analysis of a prospective, multicenter, population-based, …

Towards Multi-Lingual Pneumonia Research Data Collection Using The Community-Acquired Pneumonia International Cohort Study Database, William A. Mattingly, Kimberley A. Buckner, Senen Pena

The University of Louisville Journal of Respiratory Infections

Background: Although multilingual interfaces are preferred by most users when they have a choice, organizations are often unable to support and troubleshoot problems involving multiple user languages. Software that has been structured with multiple languages and data interlinking considerations early in its development is more likely to be easily maintained. We describe the process of adding multilingual support to the CAPO international Cohort study database using REDCap.

Methods: Using Google Translate API we extend the supported Spanish language version of REDCap to the most recent version used by CAPO, 8.1.4. We then translate the English data dictionary for CAPO to …

Clinical Research In Pneumonia: Role Of Artificial Intelligence, Timothy L. Wiemken, Robert R. Kelley, William A. Mattingly, Julio A. Ramirez

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Severity Of Disease And Mortality For Hospitalized Patients With Community-Acquired Viral Pneumonia Compared To Patients With Community-Acquired Bacterial Pneumonia, Richard Y. Kim, Thomas Chandler, Stephen P. Furmanek, Timothy Lee Wiemken, Rodrigo Cavallazzi

The University of Louisville Journal of Respiratory Infections

Background: There exists a large body of literature to help identify, diagnose, treat, and manage community-acquired pneumonia (CAP). Despite this, there is little data that directly compares the clinical syndromes and complications of pure bacterial pneumonia to pure viral pneumonia. Our study compares the clinical presentation, morbidity and mortality of viral vs. bacterial etiologies of CAP.

Methods: This was a secondary data analysis of the Community-Acquired Pneumonia Organization (CAPO) international study database. Data was collected concerning patient demographics, physical examination findings, laboratory findings, radiological findings, severity of illness, and clinical outcomes and stratified according to the two study groups, CAVP …

What Influences Our Decision To Vaccinate? The Social Amplification Of Risk Framework And Vaccination, Laura B. Carper

International Crisis and Risk Communication Conference

The current study applies the social amplification risk framework to the anti-vaccination movement, specifically to the social factors that influence the likelihood to vaccinate. A total of 264 participants were recruited using Amazon’s Mechanical Turk engine and students from a large southern university. Participants responded to questions about their personal, friend, and family experiences with vaccines, their discussion about vaccines, and trust in vaccine literature (CDC, Facebook, family, etc.). Lastly, participants responded to a modified Duke’s social support scale. Results indicated that the likelihood to vaccinate is impacted by several social factors and that those factors can be amplified based …

Understanding Flu Vaccination Acceptance Among U.S. Adults: The Health Belief Model And Media Sources, Tong Xie, Connor Grady, Michael Cacciatore, Glen Nowak

International Crisis and Risk Communication Conference

Based on previous studies about the Health Belief Model (HBM) and the reinforcing relationship between media selectivity or preference and individual’s behavior, this study used a national representative adult sample to assess flu vaccination as the result of an appraisal of relevant health beliefs, trust towards the authoritative entities (e.g. CDC & FDA) and vaccine-related media information, in addition to one’s existing behavior pattern. Results showed that not-vaccinated individuals differ significantly in their vaccine-related health believes and the trust towards the authoritative information sources. This group acquired less recommendation from health care providers and more negative sentiments about flu vaccine …

Beta-Lactam Plus Macrolide Vs Fluoroquinolone For Empiric Therapy Of Hospitalized Patients With Cap: Results From The University Of Louisville Pneumonia Study, Vidyulata Salunkhe, Stephen P. Furmanek, Forest W. Arnold

The University of Louisville Journal of Respiratory Infections

Background

Current guidelines recommend a β-lactam plus a macrolide or fluoroquinolone monotherapy as initial empiric antibiotic therapy for treatment of patients hospitalized with community-acquired pneumonia (CAP). Multiple studies have shown different results comparing the two regimens for the treatment of CAP. Our objective, in a city-wide prospective study, was to compare outcomes among hospitalized patients with CAP who received empiric treatment either with a β-lactam plus a macrolide or fluoroquinolone monotherapy.

Methods

This was a propensity score matched case-control study of the University of Louisville Pneumonia Study. It was a prospective population-based cohort study of all hospitalized adults with CAP. …

Detecting And Mapping Real-Time Influenza-Like Illness Using Twitter Stream Data, Elisha D. Brunette

EWU Masters Thesis Collection

Influenza has been identified by the World Health Organization as a global issue that could be more effectively served through an accelerated and widely-accessible public health surveillance tracking process. The ability to map and predict influenza outbreaks in a real-time heat map would be invaluable to health care systems to prepare for influenza outbreaks. In this study, the Twitter stream data is filtered to identify potential influenza-like illness (ILI) cases. Then the tracking of real-time influenza cases is further explored and analyzed through various machine-learning models. Among seven learning models developed to identify ILI tweets, the ELMo deep neural network …