A5073411729- COVID-19 epidemiological studies
- Biomedical and Engineering Education
- Data-Driven Disease Surveillance
- Genetics, Bioinformatics, and Biomedical Research
- Education Systems and Policy
- Community Development and Social Impact
- Stochastic processes and statistical mechanics
- DNA and Biological Computing
- Housing, Finance, and Neoliberalism
- Gene Regulatory Network Analysis
- Influenza Virus Research Studies
- Complex Network Analysis Techniques
- Cold Atom Physics and Bose-Einstein Condensates
- Distributed systems and fault tolerance
- Lanthanide and Transition Metal Complexes
- Atomic and Subatomic Physics Research
- Opportunistic and Delay-Tolerant Networks
- Chemical Synthesis and Analysis
- Labor Movements and Unions
- Human Mobility and Location-Based Analysis
- Mobile Agent-Based Network Management
- Scientific Computing and Data Management
- Viral Infections and Outbreaks Research
- Vaccine Coverage and Hesitancy
- Plant Virus Research Studies
Biocom
2016-2024
University of Virginia
2018-2024
Shrewsbury and Telford Hospital NHS Trust
2021-2024
NHS Lothian
2022
Virgin Care
2021
Virginia Tech
2010-2018
Johns Hopkins University
2015
Center for Systems Biology
2013
Oregon State University
2012
Kenyon College
2000
Abstract We study allocation of COVID-19 vaccines to individuals based on the structural properties their underlying social contact network. Even optimistic estimates suggest that most countries will likely take 6 24 months vaccinate citizens. These time and emergence new viral strains urge us find quick effective ways allocate contain pandemic. While current approaches use combinations age-based occupation-based prioritizations, our strategy marks a departure from such largely aggregate...
Background: Influenza outbreaks affect millions of people every year and its surveillance is usually carried out in developed countries through a network sentinel doctors who report the weekly number Influenza-like Illness cases observed among visited patients. Monitoring forecasting evolution these supports decision makers designing effective interventions allocating resources to mitigate their impact.
Objectives This research studies the role of slums in spread and control infectious diseases National Capital Territory India, Delhi, using detailed social contact networks its residents. Methods We use an agent-based model to study influenza Delhi through person-to-person contact. Two different are used: one which slum non-slum regions treated same, other 298 zones identified. In second network, slum-specific demographics activities assigned individuals whose homes reside inside these...
ABSTRACT Global airline networks play a key role in the global importation of emerging infectious diseases. Detailed information on air traffic between international airports has been demonstrated to be useful retrospectively validating and prospectively predicting case emergence other countries. In this paper, we use well-established metric known as effective distance data from IATA quantify risk for different countries consequence direct China, compare it against arrival times first 24...
The Arthur River magnesite deposit is in the northwestern part of Tasmania, Australia, within Metamorphic Complex. Physical, mineralogical, and chemical characteristics were studied using geological drill core logging analytical techniques (scanning electron microscopy, portable x-ray fluorescence, laser ablation–inductively coupled plasma–mass spectrometry). results document variations ore body, three types have been identified for potential production an economic concentrate separated from...
One of the foundations synthetic biology is project to develop libraries standardized genetic parts that could be assembled quickly and cheaply into large systems. The limitations initial BioBrick standard have prompted development multiple new standards proposing different avenues overcome these shortcomings. lack compatibility between standards, compliance with only some or even type constructs each supports significantly increased complexity assembling from parts. Here, we describe...
Mobility restrictions have been a primary intervention for controlling the spread of COVID-19, but they also place significant economic burden on individuals and businesses. To balance these competing demands, policymakers need analytical tools to assess costs benefits different mobility reduction measures. In this paper, we present our work motivated by interactions with Virginia Department Health decision-support tool that utilizes large-scale data epidemiological modeling quantify impact...
Scenario-based modeling frameworks have been widely used to support policy-making at state and federal levels in the United States during COVID-19 response. While custom-built models can be one-off studies, sustained updates projections under changing pandemic conditions requires a robust, integrated, adaptive framework. In this paper, we describe one such framework, UVA-adaptive, that was built CDC-aligned Scenario Modeling Hub (SMH) across multiple rounds, as well weekly/biweekly Virginia...
We study allocation of COVID-19 vaccines to individuals based on the structural properties their underlying social contact network. Using a realistic representation network for Commonwealth Virginia, we how limited number vaccine doses can be strategically distributed reduce overall burden pandemic. show that individuals' degree (number contacts) and total proximity time is significantly more effective than usually used age-based strategy in reducing infections, hospitalizations deaths. The...
When an influenza pandemic emerges, temporary school closures and antiviral treatment may slow virus spread, reduce the overall disease burden, provide time for vaccine development, distribution, administration while keeping a larger portion of general population infection free. The impact such measures will depend on transmissibility severity timing extent their implementation. To robust assessments layered intervention strategies, Centers Disease Control Prevention (CDC) funded network...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMembrane protein conformational change dependent on the hydrophobic environmentM. Lisa Wilson and Frederick W. DahlquistCite this: Biochemistry 1985, 24, 8, 1920–1928Publication Date (Print):April 9, 1985Publication History Published online1 May 2002Published inissue 9 April 1985https://pubs.acs.org/doi/10.1021/bi00329a018https://doi.org/10.1021/bi00329a018research-articleACS PublicationsRequest reuse permissionsArticle...
This paper describes an integrated, data-driven operational pipeline based on national agent-based models to support federal and state-level pandemic planning response. The consists of ( i) automatic semantic-aware scheduling method that coordinates jobs across two separate high performance computing systems; ii) a data collect, integrate organize county-level disaggregated for initialization post-simulation analysis; iii) digital twin social contact networks made up 288 Million individuals...
Synthetic biologists rely on databases of biological parts to design genetic devices and systems. The sequences descriptions are often derived from features previously described plasmids using ad hoc, error-prone time-consuming curation processes because existing loosely organized. These lack consistency in the way they identify describe sequences. Furthermore, legacy bioinformatics file formats like GenBank do not provide enough information about purpose features. We have analyzed...
To our knowledge, no evidence is available on health care professionals' use of electronic personal records (ePHRs) for their management. We therefore focused nurses' ePHRs using a modified technology acceptance model.To examine (1) the psychometric properties ePHR model, (2) associations perceived usefulness, ease use, data privacy and security protection, perception self as health-promoting role models to own (3) moderating influences age, chronic illness medication providers' record...
The COVID-19 global outbreak represents the most significant epidemic event since 1918 influenza pandemic. Simulations have played a crucial role in supporting planning and response efforts. Developing scalable workflows to provide policymakers quick responses important questions pertaining logistics, resource allocation, forecasts intervention analysis remains challenging computational problem. In this work, we present high performance computing-enabled for pandemic response. scalability of...
Gene synthesis attempts to assemble user-defined DNA sequences with base-level precision. Verifying the of construction intermediates and final product a gene project is critical part workflow, yet one that has received least attention. Sequence validation equally important for other kinds curated clone collections. Ensuring physical sequence matches its published common quality control step performed at once over course research project. GenoREAD web-based application breaks verification...
Plant synthetic biology requires software tools to assist on the design of complex multi-genic expression plasmids. Here a vector strategy express genes in plants is formalized and implemented as grammar GenoCAD, Computer-Aided Design for biology. It includes library plant biological parts organized structural categories set rules describing how assemble these into large constructs. Rules developed here are divided three main subsections according aim final construct: protein localization...
The COVID-19 pandemic brought to the forefront an unprecedented need for experts, as well citizens, visualize spatio-temporal disease surveillance data. Web application dashboards were quickly developed fill t his g ap, b ut a ll of these supported particular niche view (ie, current status or specific r egions). I n paper, we describe our work developing Surveillance Dashboard, which offers unique while also allowing users focus on details that interest them. From beginning, goal was provide...
The deployment of vaccines across the US provides significant defense against serious illness and death from COVID-19. Over 70% vaccine-eligible Americans are at least partially vaccinated, but there pockets population that under-vaccinated, such as in rural areas some demographic groups (e.g. age, race, ethnicity). These extremely susceptible to Delta variant, exacerbating healthcare crisis increasing risk new variants. In this paper, we describe a data-driven model real-time support...