90 research outputs found
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Haiti\u27s History as First Black Republic Creates a Special Bond with Many African-Americans
A Consideration of the Influences that Predict Middle School Principal Attitudes
Today’s successful school systems have certainly evolved into “heroic learning organizations” (Brown & Moffett, 1999). Competing for such prestigious titles as National Blue Ribbon Schools and Carolina First Palmetto’s Finest Award Schools, additional pressures are placed on everyone involved. The person held most accountable for problem solving is the principal. Two of the most prominent pressures are the challenges of No Child Left Behind (NCLB) and schools meeting Annual Yearly Progress (AYP) requirements for all students. As the instructional leader, the principal influences every aspect of the school and each of its participants. In the process he or she becomes a cheerleader, team captain, nurse, psychologist, visionary, disciplinarian, diplomat, utilitarian, chaplain, judge, prosecutor, negotiator, and clairvoyant. The principal creates, drives, inspires, establishes the culture, engenders the school’s spirit, dreams the vision, and serves as a role model to ensure everyone is integrated into the all-inclusive learning environment
Environmental Modifications and Supports for Participation Among Adults Aging With Intellectual and Developmental Disabilities: A Scoping Review
Importance: Adults aging with intellectual and developmental disabilities (IDD) continue to face barriers to participation in meaningful occupation; moreover, the increased life expectancy of adults with IDD intensifies the need for age- and environment-specific support.
Objective: To map and categorize transdisciplinary literature on environmental modifications and supports for adults aging with IDD.
Data Sources: Studies published between January 1, 2000, and January 1, 2019, identified through PubMed and Scopus.
Study Selection and Data Collection: Eleven articles met the inclusion criteria and contained information specific to occupational participation based on environmental modification (e.g., physical space, technology, universal design, type of living setting), social supports (e.g., family members, caretakers, peer groups, health care professionals, policies, organizational infrastructure), or both and adults age ≥35 yr with IDD.
Findings: Eleven studies met the criteria for this scoping review. Thematic coding was used to examine the articles within one or more themes: definition of need, environmental risk and assessment, environmental setting, intervention and program planning, use of technology, and bureaucracy.
Conclusions and Relevance: This review highlights collective and individual outcomes in the areas of assessment, intervention, and advocacy. Further research is needed within the scope of occupational therapy and disability studies that examines environmental factors and participation outcomes in this population.
What This Article Adds: The authors define the interconnectedness of adults aging with IDD and environmental factors, identify barriers to participation, and guide occupational therapy practitioners’ logic on how to positively affect environmental change and supports through intervention
Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits
Background: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations.
Objective: The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to explore which city characteristics lead to better or worse GFT effectiveness. Methods: Using Healthcare Cost and Utilization Project data, we collected weekly counts of ED visits for all patients with diagnosis (International Statistical Classification of Diseases 9) codes for influenza-related visits from 2005-2011 in 19 different US cities. We measured the correlation between weekly volume of GFT searches and influenza-related ED visits (ie, GFT ED surveillance effectiveness) per city. We evaluated the relationship between 15 publically available city indicators (11 sociodemographic, two health care utilization, and two climate) and GFT surveillance effectiveness using univariate linear regression.
Results: Correlation between city-level GFT and influenza-related ED visits had a median of .84, ranging from .67 to .93 across 19 cities. Temporal variability was observed, with median correlation ranging from .78 in 2009 to .94 in 2005. City indicators significantly associated (P
Conclusions: GFT is strongly correlated with ED influenza-related visits at the city level, but unexplained variation over geographic location and time limits its utility as standalone surveillance. GFT is likely most useful as an early signal used in conjunction with other more comprehensive surveillance techniques. City indicators associated with improved GFT surveillance provide some insight into the variability of GFT effectiveness. For example, populations with lower socioeconomic status may have a greater tendency to initially turn to the Internet for health questions, thus leading to increased GFT effectiveness. GFT has the potential to provide valuable information to ED providers for patient care and to administrators for ED surge preparedness
Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits.
BACKGROUND: Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations.
OBJECTIVE: The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to explore which city characteristics lead to better or worse GFT effectiveness.
METHODS: Using Healthcare Cost and Utilization Project data, we collected weekly counts of ED visits for all patients with diagnosis (International Statistical Classification of Diseases 9) codes for influenza-related visits from 2005-2011 in 19 different US cities. We measured the correlation between weekly volume of GFT searches and influenza-related ED visits (ie, GFT ED surveillance effectiveness) per city. We evaluated the relationship between 15 publically available city indicators (11 sociodemographic, two health care utilization, and two climate) and GFT surveillance effectiveness using univariate linear regression.
RESULTS: Correlation between city-level GFT and influenza-related ED visits had a median of .84, ranging from .67 to .93 across 19 cities. Temporal variability was observed, with median correlation ranging from .78 in 2009 to .94 in 2005. City indicators significantly associated (P
CONCLUSIONS: GFT is strongly correlated with ED influenza-related visits at the city level, but unexplained variation over geographic location and time limits its utility as standalone surveillance. GFT is likely most useful as an early signal used in conjunction with other more comprehensive surveillance techniques. City indicators associated with improved GFT surveillance provide some insight into the variability of GFT effectiveness. For example, populations with lower socioeconomic status may have a greater tendency to initially turn to the Internet for health questions, thus leading to increased GFT effectiveness. GFT has the potential to provide valuable information to ED providers for patient care and to administrators for ED surge preparedness
Pervasive gaps in Amazonian ecological research
Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4
While the increasing availability of global databases on ecological communities has advanced our knowledge
of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In
the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of
Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus
crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced
environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian
Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by
2050. This means that unless we take immediate action, we will not be able to establish their current status,
much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio
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