A5067302822- COVID-19 epidemiological studies
- Supply Chain Resilience and Risk Management
- COVID-19 Pandemic Impacts
- Health disparities and outcomes
- Sustainable Supply Chain Management
- Multi-Criteria Decision Making
- Infrastructure Resilience and Vulnerability Analysis
- Facility Location and Emergency Management
- Data-Driven Disease Surveillance
- Emergency and Acute Care Studies
- Soil and Land Suitability Analysis
- Gene Regulatory Network Analysis
- Homelessness and Social Issues
- Disaster Response and Management
- CRISPR and Genetic Engineering
- Health Systems, Economic Evaluations, Quality of Life
- Vehicle emissions and performance
- Healthcare Operations and Scheduling Optimization
- Innovation and Socioeconomic Development
- COVID-19 and healthcare impacts
- Genetics, Bioinformatics, and Biomedical Research
- Geographic Information Systems Studies
- Tropical and Extratropical Cyclones Research
- Climate Change and Health Impacts
- Healthcare Systems and Reforms
U.S. Army Engineer Research and Development Center
2017-2024
United States Army
2018-2022
United States Army Corps of Engineers
2018-2021
Short-term probabilistic forecasts of the trajectory COVID-19 pandemic in United States have served as a visible and important communication channel between scientific modeling community both general public decision-makers. Forecasting models provide specific, quantitative, evaluable predictions that inform short-term decisions such healthcare staffing needs, school closures, allocation medical supplies. Starting April 2020, US Forecast Hub ( https://covid19forecasthub.org/ ) collected,...
Abstract Academic researchers, government agencies, industry groups, and individuals have produced forecasts at an unprecedented scale during the COVID-19 pandemic. To leverage these forecasts, United States Centers for Disease Control Prevention (CDC) partnered with academic research lab University of Massachusetts Amherst to create US Forecast Hub. Launched in April 2020, Hub is a dataset point probabilistic incident cases, hospitalizations, deaths, cumulative deaths due county, state,...
Abstract Short-term probabilistic forecasts of the trajectory COVID-19 pandemic in United States have served as a visible and important communication channel between scientific modeling community both general public decision-makers. Forecasting models provide specific, quantitative, evaluable predictions that inform short-term decisions such healthcare staffing needs, school closures, allocation medical supplies. Starting April 2020, US Forecast Hub ( https://covid19forecasthub.org/ )...
Purpose Despite rapid success in bringing SARS-CoV-2 vaccines to distribution by multiple pharmaceutical corporations, supply chain failures production and can plague pandemic recovery. This review analyzes addresses gaps modeling resilience general specifically for order guide researchers practitioners alike improve critical function of vaccine chains the face inevitable disruptions. Design/methodology/approach Systematic literature on from 2007 2020 is analyzed tandem with manufacturing...
Science & Society12 June 2018free access A critical juncture for synthetic biology Lessons from nanotechnology could inform public discourse and further development of Benjamin D Trump U.S. Army Corps Engineers, Engineer Research Development Center, Risk Decision Team, Concord, MA, USA Search more papers by this author Jeffrey C Cegan Emily Wells Keisler University Massachusetts, Boston, Igor Linkov [email protected] orcid.org/0000-0002-0823-8107 Author Information Trump1,‡, Cegan1,‡,...
Climate change and the increasing complexity of society necessitate rethinking siloed threat scenarios in emergency response planning. Incorporating a compounding model into disaster by leveraging network science techniques dynamic data can help account for disproportionate nature hurricane impacts.
Many efforts to predict the impact of COVID-19 on hospitalization, intensive care unit (ICU) utilization, and mortality rely age comorbidities. These predictions are foundational learning, policymaking, planning for pandemic, therefore understanding relationship between age, comorbidities, health outcomes is critical assessing managing public risks. From a US government database 1.4 million patient records collected in May 2020, we extracted relationships number comorbidities at individual...
The SARS-CoV-2 virus is responsible for the novel coronavirus disease 2019 (COVID-19), which has spread to populations throughout continental United States. Most state and local governments have adopted some level of "social distancing" policy, but infections continued despite these efforts. Absent a vaccine, authorities few other tools by mitigate further virus. This begs question how effective social policy really at reducing new that, left alone, could potentially overwhelm existing...
State governments in the U.S. have been facing difficult decisions involving tradeoffs between economic and health-related outcomes during COVID-19 pandemic. Despite evidence of effectiveness government-mandated restrictions mitigating spread contagion, these orders are stigmatized due to undesirable consequences. This tradeoff resulted state employing mandates widely different ways. We compare policies states implemented periods restriction (lockdown) reopening with indicators consumer card...
Network science is a powerful tool for analyzing transportation networks, offering insights into their structures and enabling the quantification of resilience robustness. Understanding underlying networks crucial effective infrastructure planning maintenance. In military contexts, network valuable logistics critical movement supply troops equipment. The U.S. Army's logistical success, particularly in "fort-to-port" phase, relies heavily on Strategic Highway (STRAHNET) U.S., which system...
Emergency services play a crucial role in safeguarding human life and property within society. In this paper, we propose network-based methodology for calculating transportation access between emergency the broader community. Using New York City as case study, study identifies 'emergency service deserts' based on National Fire Protection Association (NFPA) guidelines, where accessibility to Fire, Medical Services, Police, Hospitals are compromised. The results show that while 95% of NYC...
Emergency services play a crucial role in safeguarding human life and property within society. In this paper, we propose network-based methodology for calculating transportation access between emergency the broader community. Using New York City as case study, study identifies 'emergency service deserts' based on National Fire Protection Association (NFPA) guidelines, where accessibility to Fire, Medical Services, Police, Hospitals are compromised. The results show that while 95% of NYC...
The COVID19 pandemic has highlighted the lack of resilience in supply chains, as global networks fail from disruptions at single nodes and connections. Through an overview existing vaccine pharmaceutical chain publications focusing on resilience, well recent papers reporting modeling chains across multiple fields, we find that models for are few most them focused individual dimensions rather than comprehensive strategy necessary scaling up production distribution emergency settings. We...