Evaluation of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) and the Collected Data.

To protect and secure food resources for the United States, it is crucial to have a method to compare food systems' criticality. In 2007, the U.S. government funded development of the Food and Agriculture Sector Criticality Assessment Tool (FASCAT) to determine which food and agriculture systems were most critical to the nation. FASCAT was developed in a collaborative process involving government officials and food industry subject matter experts (SMEs). After development, data were collected using FASCAT to quantify threats, vulnerabilities, consequences, and the impacts on the United States from failure of evaluated food and agriculture systems. To examine FASCAT's utility, linear regression models were used to determine: (1) which groups of questions posed in FASCAT were better predictors of cumulative criticality scores; (2) whether the items included in FASCAT's criticality method or the smaller subset of FASCAT items included in DHS's risk analysis method predicted similar criticality scores. Akaike's information criterion was used to determine which regression models best described criticality, and a mixed linear model was used to shrink estimates of criticality for individual food and agriculture systems. The results indicated that: (1) some of the questions used in FASCAT strongly predicted food or agriculture system criticality; (2) the FASCAT criticality formula was a stronger predictor of criticality compared to the DHS risk formula; (3) the cumulative criticality formula predicted criticality more strongly than weighted criticality formula; and (4) the mixed linear regression model did not change the rank-order of food and agriculture system criticality to a large degree.

Innovative Approaches to Improve COVID-19 Case Investigation and Contact Tracing Among Refugees, Immigrants, and Migrants: Lessons Learned from a Newly Established National Resource Center.

Effective COVID-19 case investigation and contact tracing (CICT) among refugee, immigrant, and migrant (RIM) communities requires innovative approaches to address linguistic, cultural and community specific preferences. The National Resource Center for Refugees, Immigrants, and Migrants (NRC-RIM) is a CDC-funded initiative to support state and local health departments with COVID-19 response among RIM communities, including CICT. This note from the field will describe NRC-RIM and initial outcomes and lessons learned, including the use of human-centered design to develop health messaging around COVID-19 CICT; training developed for case investigators, contact tracers, and other public health professionals working with RIM community members; and promising practices and other resources related to COVID-19 CICT among RIM communities that have been implemented by health departments, health systems, or community-based organizations.

Hospital Building and Departmental Area Calculation: Comparison of 36 Recent North American Projects.

BACKGROUND: Hospital trustees, administrators, and their consultants must base important budget decisions upon a projection of the size of proposed construction projects. The anticipated functions and an estimate of the space required are generally provided in a project program or project brief. The programming consultant, often part of the architect's team, will calculate the physical area (square feet or square meters) required to perform the desired functions based on an understanding of demographics in the service area, services offered, the volumes of service required, and a historical understanding of space required to perform those services. Hospitals and hospital designs in North America have been changing. Plans must now address far higher percentages of outpatient care, accommodate new equipment modalities, and provide space to account for family presence in patient rooms. AIM: A study was undertaken to better understand whether the allocation of space in recently constructed hospital projects is different from the amounts of area devoted to various departments and functions in older projects. METHOD: In order to assure measurement consistency, a measurement methodology was developed and is reported elsewhere. Thirty-six recently constructed hospitals were measured. RESULTS: The results provide new information about the allocation of space for nondepartmental functions within the overall building gross calculation. Many of the departmental space allocations fell within an expected range. Ultimately, significant detailed information about hospital area calculations is made available to the public because of this study.

A Review of the Role of Food and the Food System in the Transmission and Spread of Ebolavirus.

The current outbreak of Ebola virus disease (EVD) centered in West Africa is the largest in history, with nearly ten times more individuals contracting the disease than all previous outbreaks combined. The details of human-to-human and zoonotic ebolavirus transmission have justifiably received the largest share of research attention, and much information exists on these topics. However, although food processing-in the form of slaughtering and preparing wildlife for consumption (referred to as bushmeat)-has been implicated in EVD outbreaks, the full role of food in EVD spread is poorly understood and has been little studied. A literature search was undertaken to assess the current state of knowledge regarding how food can or may transmit ebolaviruses and how the food system contributes to EVD outbreak and spread. The literature reveals surprising preliminary evidence that food and the food system may be more implicated in ebolavirus transmission than expected and that further research is urgently needed.

Assessing the continuum of event-based biosurveillance through an operational lens.

This research follows the Updated Guidelines for Evaluating Public Health Surveillance Systems, Recommendations from the Guidelines Working Group, published by the Centers for Disease Control and Prevention nearly a decade ago. Since then, models have been developed and complex systems have evolved with a breadth of disparate data to detect or forecast chemical, biological, and radiological events that have a significant impact on the One Health landscape. How the attributes identified in 2001 relate to the new range of event-based biosurveillance technologies is unclear. This article frames the continuum of event-based biosurveillance systems (that fuse media reports from the internet), models (ie, computational that forecast disease occurrence), and constructs (ie, descriptive analytical reports) through an operational lens (ie, aspects and attributes associated with operational considerations in the development, testing, and validation of the event-based biosurveillance methods and models and their use in an operational environment). A workshop was held in 2010 to scientifically identify, develop, and vet a set of attributes for event-based biosurveillance. Subject matter experts were invited from 7 federal government agencies and 6 different academic institutions pursuing research in biosurveillance event detection. We describe 8 attribute families for the characterization of event-based biosurveillance: event, readiness, operational aspects, geographic coverage, population coverage, input data, output, and cost. Ultimately, the analyses provide a framework from which the broad scope, complexity, and relevant issues germane to event-based biosurveillance useful in an operational environment can be characterized.