scholarly journals Trends in United States Human Footprint Revealed by New Spatial Metrics of Urbanization and Per Capita Land Change

2021 ◽  
Vol 13 (22) ◽  
pp. 12852
Author(s):  
John B. Vogler ◽  
Jelena Vukomanovic
Keyword(s):  
United States ◽  
Urban Expansion ◽  
Temporal Trends ◽  
The United States ◽  
Sustainable Growth ◽  
Land Change ◽  
Spatial Metrics ◽  
Web Mapping ◽  
Human Footprint ◽  
Per Capita

Accelerations in population growth and urban expansion are transforming landscapes worldwide and represent a major sustainability challenge. In the United States, land conversion to impervious surfaces has outpaced population increases, yet there are few spatial metrics of urbanization and per capita land change available nationwide for assessing local to regional trends in human footprint. We quantified changes (2000–2010) in housing density, imperviousness, per capita land consumption, and land-use efficiency for block groups of the contiguous U.S. and examined national patterns and variation in these metrics along the urban–rural gradient and by megaregion. Growth in housing (+13.6%) and impervious development (+10.7%) resulted in losses of rural lands, primarily due to exurbanization and suburbanization. Mean per capita consumption increased in all density classes but was over 8.5 times greater in rural lands than in exurban, suburban, and urban areas. Urban and suburban areas had significantly lower mean consumption, yet change was unsustainable in 60% of these areas. Megaregions across the sprawling Sun Belt, spanning from Arizona to North Carolina, grew most unsustainably, especially compared to regions in the Pacific Northwest and Front Range. This work establishes 21st-century benchmarks that decision-makers can use to track local and regional per capita land change and sustainable growth in the U.S.; however, these metrics of the form, extent, rate, and efficiency of urbanization can be applied anywhere concurrent built-up area and population data are available over time. Our web mapping application allows anyone to explore spatial and temporal trends in human footprint and download metrics, and it is designed to be easily updatable with future releases of validated developed land cover, protected areas, and decennial Census data.

Can increases in Twitter posts predict increases in cumulative incidence of COVID-19 in the United States? Evidence that social media can inform epidemic surveillance. (Preprint)

2020 ◽  
Author(s):  
Ruoyan Sun ◽  
Henna Budhwani
Keyword(s):  
Public Health ◽  
United States ◽  
Cumulative Incidence ◽  
Hot Spots ◽  
Adult Population ◽  
State Level ◽  
The United States ◽  
Education Attainment ◽  
Public Health Systems ◽  
Per Capita

BACKGROUND Though public health systems are responding rapidly to the COVID-19 pandemic, outcomes from publicly available, crowd-sourced big data may assist in helping to identify hot spots, prioritize equipment allocation and staffing, while also informing health policy related to “shelter in place” and social distancing recommendations. OBJECTIVE To assess if the rising state-level prevalence of COVID-19 related posts on Twitter (tweets) is predictive of state-level cumulative COVID-19 incidence after controlling for socio-economic characteristics. METHODS We identified extracted COVID-19 related tweets from January 21st to March 7th (2020) across all 50 states (N = 7,427,057). Tweets were combined with state-level characteristics and confirmed COVID-19 cases to determine the association between public commentary and cumulative incidence. RESULTS The cumulative incidence of COVID-19 cases varied significantly across states. Ratio of tweet increase (p=0.03), number of physicians per 1,000 population (p=0.01), education attainment (p=0.006), income per capita (p = 0.002), and percentage of adult population (p=0.003) were positively associated with cumulative incidence. Ratio of tweet increase was significantly associated with the logarithmic of cumulative incidence (p=0.06) with a coefficient of 0.26. CONCLUSIONS An increase in the prevalence of state-level tweets was predictive of an increase in COVID-19 diagnoses, providing evidence that Twitter can be a valuable surveillance tool for public health.

Temporal Trends in Resource Use, Cost, and Outcomes of Transcatheter Aortic Valve Replacement in the United States

2020 ◽  
Vol 95 (12) ◽  
pp. 2665-2673
Author(s):  
Akram Kawsara ◽  
Samian Sulaiman ◽  
Jane Linderbaum ◽  
Sarah R. Coffey ◽  
Fahad Alqahtani ◽  
...  
Keyword(s):  
United States ◽  
Aortic Valve ◽  
Aortic Valve Replacement ◽  
Valve Replacement ◽  
Resource Use ◽  
Transcatheter Aortic Valve Replacement ◽  
Temporal Trends ◽  
The United States ◽  
Transcatheter Aortic Valve

scholarly journals Spatial Disparities of COVID-19 Cases and Fatalities in United States Counties

2021 ◽  
Vol 18 (16) ◽  
pp. 8259
Author(s):  
Sarah L. Jackson ◽  
Sahar Derakhshan ◽  
Leah Blackwood ◽  
Logan Lee ◽  
Qian Huang ◽  
...  
Keyword(s):  
United States ◽  
Great Plains ◽  
Explanatory Power ◽  
Temporal Trends ◽  
The United States ◽  
First Year ◽  
Significant Case ◽  
Urban Rural ◽  
Spatial And Temporal Trends ◽  
Mitigation Policies

This paper examines the spatial and temporal trends in county-level COVID-19 cases and fatalities in the United States during the first year of the pandemic (January 2020–January 2021). Statistical and geospatial analyses highlight greater impacts in the Great Plains, Southwestern and Southern regions based on cases and fatalities per 100,000 population. Significant case and fatality spatial clusters were most prevalent between November 2020 and January 2021. Distinct urban–rural differences in COVID-19 experiences uncovered higher rural cases and fatalities per 100,000 population and fewer government mitigation actions enacted in rural counties. High levels of social vulnerability and the absence of mitigation policies were significantly associated with higher fatalities, while existing community resilience had more influential spatial explanatory power. Using differences in percentage unemployment changes between 2019 and 2020 as a proxy for pre-emergent recovery revealed urban counties were hit harder in the early months of the pandemic, corresponding with imposed government mitigation policies. This longitudinal, place-based study confirms some early urban–rural patterns initially observed in the pandemic, as well as the disparate COVID-19 experiences among socially vulnerable populations. The results are critical in identifying geographic disparities in COVID-19 exposures and outcomes and providing the evidentiary basis for targeting pandemic recovery.

scholarly journals Managing a Craft Brewery: Competitive, Legal, and Environmental Forces

2020 ◽  
pp. 251512742096996
Author(s):  
Christopher A. Craig
Keyword(s):  
United States ◽  
The United States ◽  
The State ◽  
Learning Objectives ◽  
Craft Beer ◽  
Competitive Industry ◽  
Small Craft ◽  
Per Capita

The number of craft breweries and the volume of beer they produce continue to increase in the United States. Small entrepreneurial craft brewery businesses produce limited quantities of specialty beer, also known as craft beer. As of 2018 the state of Montana had the second most craft breweries per capita in the United States. In addition to competitive industry forces, legal and environmental forces are two of the most salient concerns for craft brewery businesses in Montana and throughout the United States. A case study about Montana Hop Brew, a Montana-based craft brewery, is presented. The case highlights the entrepreneurial nature of small craft breweries and describes competitive industry, legal, and environmental forces that Montana Hop Brew faces. Teaching notes complete with learning objectives, required and supplemental readings, a student exercise, and discussion questions are available to assist with delivering the case.

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