scholarly journals Lifestyle Effects on the Risk of Transmission of COVID-19 in the United States: Evaluation of Market Segmentation Systems

2021 ◽  
Vol 18 (9) ◽  
pp. 4826
Author(s):  
Esra Ozdenerol ◽  
Jacob Seboly
Keyword(s):  
United States ◽  
The United States ◽  
Mortality Rates ◽  
Incidence Rates ◽  
Statistical Testing ◽  
Average Risk ◽  
County Level ◽  
Household Level ◽  
The Impact ◽  
The U.S

The aim of this study was to associate lifestyle characteristics with COVID-19 infection and mortality rates at the U.S. county level and sequentially map the impact of COVID-19 on different lifestyle segments. We used analysis of variance (ANOVA) statistical testing to determine whether there is any correlation between COVID-19 infection and mortality rates and lifestyles. We used ESRI Tapestry LifeModes data that are collected at the U.S. household level through geodemographic segmentation typically used for marketing purposes to identify consumers’ lifestyles and preferences. According to the ANOVA analysis, a significant association between COVID-19 deaths and LifeModes emerged on 1 April 2020 and was sustained until 30 June 2020. Analysis of means (ANOM) was also performed to determine which LifeModes have incidence rates that are significantly above/below the overall mean incidence rate. We sequentially mapped and graphically illustrated when and where each LifeMode had above/below average risk for COVID-19 infection/death on specific dates. A strong northwest-to-south and northeast-to-south gradient of COVID-19 incidence was identified, facilitating an empirical classification of the United States into several epidemic subregions based on household lifestyle characteristics. Our approach correlating lifestyle characteristics to COVID-19 infection and mortality rate at the U.S. county level provided unique insights into where and when COVID-19 impacted different households. The results suggest that prevention and control policies can be implemented to those specific households exhibiting spatial and temporal pattern of high risk.

scholarly journals Impact of COVID-19 Second Wave on Healthcare Networks in the United States

2020 ◽  
Author(s):  
Emad M. Hassan ◽  
Hussam Mahmoud
Keyword(s):  
United States ◽  
Healthcare System ◽  
The United States ◽  
Healthcare Systems ◽  
Mitigation Strategies ◽  
County Level ◽  
Protective Measures ◽  
The Impact ◽  
Second Wave ◽  
The U.S

The risk of overwhelming healthcare systems from a second wave of COVID-19 is yet to be quantified. Here, we investigate the impact of different reopening scenarios of states around the U.S. on COVID-19 hospitalized cases and the risk of overwhelming the healthcare system while considering resources at the county level. We show that the second wave might involve an unprecedented impact on the healthcare system if an increasing number of the population becomes susceptible and/or if the various protective measures are discontinued. Furthermore, we explore the ability of different mitigation strategies in providing considerable relief to the healthcare system. The results can aid healthcare planners, policymakers, and state officials in making decisions on additional resources required and on when to return to normalcy.

scholarly journals Impact of multiple waves of COVID-19 on healthcare networks in the United States

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0247463
Author(s):  
Emad M. Hassan ◽  
Hussam N. Mahmoud
Keyword(s):  
United States ◽  
The United States ◽  
Mitigation Strategies ◽  
County Level ◽  
Protective Measures ◽  
The Impact ◽  
The U.S

The risk of overwhelming hospitals from multiple waves of COVID-19 is yet to be quantified. Here, we investigate the impact of different scenarios of releasing strong measures implemented around the U.S. on COVID-19 hospitalized cases and the risk of overwhelming the hospitals while considering resources at the county level. We show that multiple waves might cause an unprecedented impact on the hospitals if an increasing number of the population becomes susceptible and/or if the various protective measures are discontinued. Furthermore, we explore the ability of different mitigation strategies in providing considerable relief to hospitals. The results can help planners, policymakers, and state officials decide on additional resources required and when to return to normalcy.

scholarly journals Whites’ County-Level Racial Bias, COVID-19 Rates, and Racial Inequities in the United States

2020 ◽  
Vol 17 (22) ◽  
pp. 8695
Author(s):  
Marilyn D. Thomas ◽  
Eli K. Michaels ◽  
Sean Darling-Hammond ◽  
Thu T. Nguyen ◽  
M. Maria Glymour ◽  
...  
Keyword(s):  
United States ◽  
Standard Deviation ◽  
Incidence Rate ◽  
Racial Bias ◽  
The United States ◽  
Mortality Rates ◽  
Incidence Rates ◽  
County Level ◽  
Explicit Bias ◽  
Implicit And Explicit

Mounting evidence reveals considerable racial inequities in coronavirus disease 2019 (COVID-19) outcomes in the United States (US). Area-level racial bias has been associated with multiple adverse health outcomes, but its association with COVID-19 is yet unexplored. Combining county-level data from Project Implicit on implicit and explicit anti-Black bias among non-Hispanic Whites, Johns Hopkins Coronavirus Resource Center, and The New York Times, we used adjusted linear regressions to estimate overall COVID-19 incidence and mortality rates through 01 July 2020, Black and White incidence rates through 28 May 2020, and Black–White incidence rate gaps on average area-level implicit and explicit racial bias. Across 2994 counties, the average COVID-19 mortality rate (standard deviation) was 1.7/10,000 people (3.3) and average cumulative COVID-19 incidence rate was 52.1/10,000 (77.2). Higher racial bias was associated with higher overall mortality rates (per 1 standard deviation higher implicit bias b = 0.65/10,000 (95% confidence interval: 0.39, 0.91); explicit bias b = 0.49/10,000 (0.27, 0.70)) and higher overall incidence (implicit bias b = 8.42/10,000 (4.64, 12.20); explicit bias b = 8.83/10,000 (5.32, 12.35)). In 957 counties with race-specific data, higher racial bias predicted higher White and Black incidence rates, and larger Black–White incidence rate gaps. Anti-Black bias among Whites predicts worse COVID-19 outcomes and greater inequities. Area-level interventions may ameliorate health inequities.

THE INFLUENCE OF SCOTTISH ACCOUNTANTS IN THE UNITED STATES: THE EARLY CASE OF THE SOCIETY OF ACCOUNTANTS IN EDINBURGH

1997 ◽  
Vol 24 (1) ◽  
pp. 117-141 ◽  
Author(s):  
T. A. LEE
Keyword(s):  
United States ◽  
General Theory ◽  
Research Program ◽  
The United States ◽  
The World ◽  
Early Case ◽  
The Impact ◽  
Chartered Accountants ◽  
The U.S

This study represents part of a long-term research program to investigate the influence of U.K. accountants on the development of professional accountancy in other parts of the world. It examines the impact of a small group of Scottish chartered accountants who emigrated to the U.S. in the late 1800s and early 1900s. Set against a general theory of emigration, the study's main results reveal the significant involvement of this group in the founding and development of U.S. accountancy. The influence is predominantly with respect to public accountancy and its main institutional organizations. Several of the individuals achieved considerable eminence in U.S. public accountancy.

scholarly journals Outcomes for Children and Adolescents With Cancer: Challenges for the Twenty-First Century

2010 ◽  
Vol 28 (15) ◽  
pp. 2625-2634 ◽  
Author(s):  
Malcolm A. Smith ◽  
Nita L. Seibel ◽  
Sean F. Altekruse ◽  
Lynn A.G. Ries ◽  
Danielle L. Melbert ◽  
...  
Keyword(s):  
United States ◽  
Childhood Cancer ◽  
Cancer Mortality ◽  
Lymphoblastic Leukemia ◽  
The United States ◽  
Mortality Rates ◽  
Mortality Data ◽  
Childhood Cancers ◽  
Essential Information ◽  
The Impact

Purpose This report provides an overview of current childhood cancer statistics to facilitate analysis of the impact of past research discoveries on outcome and provide essential information for prioritizing future research directions. Methods Incidence and survival data for childhood cancers came from the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries, and mortality data were based on deaths in the United States that were reported by states to the Centers for Disease Control and Prevention by underlying cause. Results Childhood cancer incidence rates increased significantly from 1975 through 2006, with increasing rates for acute lymphoblastic leukemia being most notable. Childhood cancer mortality rates declined by more than 50% between 1975 and 2006. For leukemias and lymphomas, significantly decreasing mortality rates were observed throughout the 32-year period, though the rate of decline slowed somewhat after 1998. For remaining childhood cancers, significantly decreasing mortality rates were observed from 1975 to 1996, with stable rates from 1996 through 2006. Increased survival rates were observed for all categories of childhood cancers studied, with the extent and temporal pace of the increases varying by diagnosis. Conclusion When 1975 age-specific death rates for children are used as a baseline, approximately 38,000 childhood malignant cancer deaths were averted in the United States from 1975 through 2006 as a result of more effective treatments identified and applied during this period. Continued success in reducing childhood cancer mortality will require new treatment paradigms building on an increased understanding of the molecular processes that promote growth and survival of specific childhood cancers.

Disproportionately Overrepresented: Women in Local Elected Offices

2018 ◽  
Vol 50 (3) ◽  
pp. 165-176 ◽  
Author(s):  
Ethan M. Bernick ◽  
Brianne Heidbreder
Keyword(s):  
United States ◽  
Maximum Likelihood ◽  
Gender Norms ◽  
The United States ◽  
Census Bureau ◽  
National Association ◽  
County Level ◽  
Political Factors ◽  
Using Data ◽  
The U.S

This research examines the position of county clerk, where women are numerically disproportionately over-represented. Using data collected from the National Association of Counties and the U.S. Census Bureau, the models estimate the correlation between the county clerk’s sex and county-level demographic, social, and political factors with maximum likelihood logit estimates. This research suggests that while women are better represented in the office of county clerk across the United States, when compared to other elective offices, this representation may be because this office is not seen as attractive to men and its responsibilities fit within the construct of traditional gender norms.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

scholarly journals Language and translation practices of Spanish-language newspapers published in the U.S. borderlands between 1808 and 1930

2019 ◽  
Vol 14 (2) ◽  
pp. 218-242 ◽  
Author(s):  
Laura Gasca Jiménez ◽  
Maira E. Álvarez ◽  
Sylvia Fernández
Keyword(s):  
United States ◽  
Language Use ◽  
The United States ◽  
Spanish Language ◽  
Hispanic American ◽  
Language Policies ◽  
The Creation ◽  
The Impact ◽  
The U.S

Abstract This article examines the impact of the anglicizing language policies implemented after the annexation of the U.S. borderlands to the United States on language use by describing the language and translation practices of Spanish-language newspapers published in the U.S. borderlands across different sociohistorical periods from 1808 to 1930. Sixty Hispanic-American newspapers (374 issues) from 1808 to 1980 were selected for analysis. Despite aggressive anglicizing legislation that caused a societal shift of language use from Spanish into English in most borderland states after the annexation, the current study suggests that the newspapers resisted assimilation by adhering to the Spanish language in the creation of original content and in translation.

scholarly journals Unraveling Demand for Dairy-Alternative Beverages in the United States: The Case of Soymilk

2014 ◽  
Vol 43 (1) ◽  
pp. 140-157 ◽  
Author(s):  
Senarath Dharmasena ◽  
Oral Capps
Keyword(s):  
United States ◽  
Employment Status ◽  
The United States ◽  
Education Level ◽  
Household Level ◽  
Income Elasticities ◽  
Price And Income Elasticities ◽  
Race Ethnicity ◽  
Targeted Marketing ◽  
The U.S

Soymilk is one of the fastest growing categories in the U.S dairy alternative functional beverage market. Using household-level purchase data from Nielsen's 2008 Homescan panel and the Tobit econometric procedure, we estimate conditional and unconditional own-price, cross-price, and income elasticities for soymilk, white milk, and flavored milk. Income, age, employment status, education level, race, ethnicity, region, and presence of children in a household are significant drivers of demand for soymilk. White milk and flavored milk are competitors for soymilk, and soymilk is a competitor for white milk. Strategies for pricing and targeted marketing of soymilk are also discussed.

Innovation Drives the Economy—an Old Idea with New Implications

2012 ◽  
Author(s):  
Elizabeth Popp Berman
Keyword(s):  
United States ◽  
The United States ◽  
Technological Leadership ◽  
The 1950S ◽  
The Impact ◽  
The U.S

This chapter begins by introducing market-logic experiments undertaken in the mid-1970s. Like earlier efforts, these practices encountered limitations and did not, at the time, look poised to take off. But this time, things would be different, as a new idea started to gain influence in the policy realm. While economists had been looking seriously at the impact of innovation since the 1950s, policymakers' attention to the issue was limited before 1970. A spurt of interest in innovation in the early 1970s fizzled out when the economy rebounded briefly, but as the economy lost steam mid-decade, industry leaders, concerned with indicators suggesting that the United States was losing its technological leadership, began to push the idea that government needed to act to strengthen innovation. In the latter part of the decade, the innovation issue would become politically salient and influential, and would shape a variety of policies meant to strengthen the U.S. economy.

Sign in / Sign up

Export Citation Format

Share Document