A5077680336- COVID-19 epidemiological studies
- Vaccine Coverage and Hesitancy
- Supply Chain and Inventory Management
- Consumer Market Behavior and Pricing
- Facility Location and Emergency Management
- SARS-CoV-2 and COVID-19 Research
- Supply Chain Resilience and Risk Management
- Health disparities and outcomes
- Healthcare Policy and Management
- Influenza Virus Research Studies
- Virology and Viral Diseases
- Infection Control and Ventilation
- Urban Transport and Accessibility
- Mental Health Treatment and Access
- COVID-19 and Mental Health
- Data-Driven Disease Surveillance
- Global Health Care Issues
- COVID-19 Pandemic Impacts
- Scheduling and Optimization Algorithms
- Mosquito-borne diseases and control
- Disaster Management and Resilience
- SARS-CoV-2 detection and testing
- COVID-19 and healthcare impacts
- Primary Care and Health Outcomes
- Health Systems, Economic Evaluations, Quality of Life
North Carolina State University
2018-2025
Georgia Institute of Technology
2011-2024
North Central State College
2019-2024
Georgia State University
2022
Saint Joseph's Hospital
2021
University of North Carolina at Chapel Hill
2020
University of Nebraska–Lincoln
2020
University of Westminster
2015
Chulalongkorn University
2014
Centers for Disease Control and Prevention
2004-2005
Vaccination against SARS-CoV-2 has the potential to significantly reduce transmission and COVID-19 morbidity mortality. The relative importance of vaccination strategies nonpharmaceutical interventions (NPIs) is not well understood.To assess association simulated vaccine efficacy coverage scenarios with without NPIs infections, hospitalizations, deaths.An established agent-based decision analytical model was used simulate progression from March 24, 2020, September 23, 2021. spread in North...
In this paper, we address the problem of finding simulated system with best (maximum or minimum) expected performance when number alternatives is finite, but large enough that ranking-and-selection (R&S) procedures may require too much computation to be practical. Our approach use data provided by first stage sampling in an R&S procedure screen out are not competitive, and thereby avoid (typically larger) second-stage sample for these systems. represent a compromise between standard...
Humanitarian supply chains involve many different entities, such as government, military, private, and non‐governmental organizations individuals. Well‐coordinated interactions between entities can lead to synergies improved humanitarian outcomes. Information technology (IT) tools help facilitate collaboration, but cost other barriers have limited their use. We document the use of an IT tool improve last‐mile distribution data management in one camps for internally displaced persons after...
Based on the recent incidents of H5N1, H1N1, and influenza pandemics in history (1918, 1957, 1968) experts believe that a future pandemic is inevitable likely imminent. Although severity vary, evidence suggests an efficient rapid response crucial for mitigating morbidity, mortality, costs to society. Hence, preparing potential high priority governments at all levels (local, state, federal), nongovernmental organizations (NGOs), companies. In severe pandemic, when large number people are ill,...
Our ability to forecast epidemics far into the future is constrained by many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that specify state critical epidemic drivers. Since December 2020, U.S. COVID-19 Scenario Modeling Hub (SMH) has convened multiple modeling teams make months ahead SARS-CoV-2 burden, totaling nearly 1.8 million national and state-level projections. Here, we find SMH performance varied widely as a...
Contemporary society faces a growing set of complex issues representing significant socioeconomic, health and well-being, environmental, sustainability challenges. The discipline industrial systems engineering (ISE) can play an important role in addressing these issues. This paper identifies discusses eight grand challenges for ISE. These are (1) Artificial Intelligence (AI) For Business Personal Use: Decision-Making System Design Operations, (2) Cybersecurity Resilience, (3) Sustainability:...
Abstract The paper assesses two approaches for delivery of engineering ethics: a full semester ethics course and an that includes module. Defining Issues Test was used to compare the improvement student's moral reasoning ability in each class as compared control class. Our findings were module approach did not provide any reasoning. In addition, although showed when module, it significantly different from We also found there little distinction between males females no by age, education level...
Abstract Background During the 2009 H1N1 influenza pandemic, concerns arose about potential negative effects of mass public gatherings and travel on course pandemic. Better understanding temporal changes in social mixing patterns could help officials determine if when to cancel large or enforce regional restrictions, advisories, surveillance during an epidemic. Methods We develop a computer simulation model using detailed data from state Georgia explore how various contact patterns,...
Community Health Centers (CHCs) provide family-oriented healthcare services for people living in rural and urban medically underserved communities; they are an important part of the government's plan to make more affordable. An optimization model is developed determine best location number new CHCs a geographical network, as well what each CHC should offer at which capacity level. The weighted demand coverage needy population maximized subject budget constraints, where costs fixed variable....
Vaccination against SARS-CoV-2 has the potential to significantly reduce transmission and morbidity mortality due COVID-19. This modeling study simulated comparative joint impact of COVID-19 vaccine efficacy coverage with without non-pharmaceutical interventions (NPIs) on total infections, hospitalizations, deaths.An agent-based simulation model was employed estimate incident infections COVID-19-associated hospitalizations deaths over 18 months for State North Carolina, a population roughly...
We document the evolution and use of stochastic agent-based COVID-19 SIMu-lation model (COVSIM) to study impact population behaviors public health policy on disease spread within age, race/ethnicity, urbanicity subpopulations in North Carolina. detail methodologies used complexities COVID-19, including multiple agent attributes (i.e., high-risk medical status), census tract-level interaction network, state behavior masking, pharmaceutical intervention (PI) uptake, quarantine, mobility),...
To characterize the extent and severity of coronal caries among older US adults document their need for prevention interventions, we systematically reviewed studies on incidence, increment, attack rate. We abstracted six calculated summary measures using a random-effects model (95% confidence interval [95%CI]). tested heterogeneity identified associated factors by examining correlation between outcome baseline population risk study characteristics. re-calculated after adjusting outcomes that...
We study determining prices and production jointly in a multiple period horizon under general, nonstationary stochastic demand function with discrete menu of prices. assume that the available capacity is limited unmet lost. incorporate discretionary sales, when inventory may be set aside to satisfy future even if some present analyze compare partial planning or delayed strategies. In strategies, one decision planned advance, whereas second until beginning each time period, after observing...
Although improving financial access is in the spotlight of current U.S. health policy agenda, this alone does not address universal and comprehensive healthcare. Affordability one barrier to healthcare, but others such as availability accessibility, together defined spatial are equally important. In paper, we develop a measurement modeling framework that can be used infer impact changes on disparities accessibility within across different population groups. The underlying model for measuring...