scholarly journals Analyzing the Factors Affecting the COVID-19 Risk Level in the US Counties

Author(s):  
Samira Ziyadidegan ◽  
Moein Razavi ◽  
Homa Pesarakli ◽  
Amir Hossein Javid

The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported an extremely high number of positive cases and deaths, while some reported too few COVID-19 related cases and mortality. In this paper, the factors that could affect the transmission of COVID-19 and its risk level in different counties have been determined and analyzed. Using Pearson Correlation, K-means clustering, and several classification models, the most critical ones were determined. Results showed that mean temperature, percent of people below poverty, percent of adults with obesity, air pressure, percentage of rural areas, and percent of uninsured people in each county were the most significant and effective attributes.

2021 ◽  
Author(s):  
Samira Ziyadidegan ◽  
Moein Razavi ◽  
Homa Pesarakli ◽  
Amirhossein Javid ◽  
Madhav Erraguntla

Abstract The COVID-19 disease spreads swiftly, and nearly three months after the first positive case was confirmed in China, Coronavirus started to spread all over the United States. Some states and counties reported high number of positive cases and deaths, while some reported lower COVID-19 related cases and mortality. In this paper, the factors that could affect the risk of COVID-19 infection and mortality were analyzed in county level. An innovative method by using K-means clustering and several classification models is utilized to determine the most critical factors. Results showed that mean temperature, percent of people below poverty, percent of adults with obesity, air pressure, population density, wind speed, longitude, and percent of uninsured people were the most significant attributes.


Author(s):  
Patricia J. Zettler ◽  
Erika Lietzan

This chapter assesses the regulation of medical devices in the United States. The goal of the US regulatory framework governing medical devices is the same as the goal of the framework governing medicines. US law aims to ensure that medical devices are safe and effective for their intended uses; that they become available for patients promptly; and that manufacturers provide truthful, non-misleading, and complete information about the products. US medical device law is different from US medicines law in many ways, however, perhaps most notably because most marketed devices do not require pre-market approval. The chapter explores how the US Food and Drug Administration (FDA) seeks to accomplish its mission with respect to medical devicecough its implementation of its medical device authorities. It starts by explaining what constitutes a medical device and how the FDA classifies medical devices by risk level. The chapter then discusses how medical devices reach the market, the FDA's risk management tools, and the rules and incentives for innovation and competition. It concludes by exploring case studies of innovative medical technologies that challenge the traditional US regulatory scheme to consider the future of medical device regulation.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4137-4137
Author(s):  
Syed M. Qasim Hussaini ◽  
Arjun Gupta

Abstract Background: more than 60,000 people die annually from hematologic malignancies in the united states (us). Patients with hematologic malignancies more frequently receive aggressive care toward the end-of-life and are more likely to die in a hospital compared to those with a solid tumor. Appropriate care of such patients is very dependent on an existing healthcare infrastructure. There are notable challenges to rural healthcare in the united states which contains less than 1/5th of all hospices in the us. In this study, we sought to investigate rural-urban disparities in place of death the us in individuals that died from hematologic malignancies. Methods: we utilized the us centers for disease control and prevention wide-ranging online data for epidemiologic research database to analyze all deaths from hematologic malignancies in the us from 2003 to 2019. A population classification utilizing the 2013 us census was made using the national center for health statistics urban-rural classification scheme. These classifications included: large metropolitan area (1 million), small- or medium-sized metropolitan area (50 000-999 999), and rural area (<50 000). We estimated deaths in a medical facility, hospice, home, or nursing care facility. We stratified the results by age, sex, and race/ethnicity. The annual percentage change (apc) in deaths was estimated. All data was publicly available and de-identified. Findings: from 2003-2019, there were a total 1,088,589 deaths form hematologic malignancies in the united states, predominantly in large metropolitan areas (50.2%), followed by small or medium sized metropolitan areas (31.7%) and rural areas (18.2%). All regions noted decreases in medical facility and nursing facility related deaths, and increase in hospice and home deaths. While rural areas demonstrated the quickest uptake of hospice care (apc 61.5), they had the lowest overall presence of hospice care (8.3% of all rural deaths in 2019 vs. 14.9% for small or medium metropolitan vs. 12% for large metropolitan) and larger share of nursing facility related deaths (15.8% of all rural deaths in 2019 vs 12.3% for small or medium metropolitan vs 10.6% for large metropolitan). Discussion: we demonstrate end-of-life disparities in hematologic malignancies based on where an individual resides in the us with rural areas having notably lower share of deaths in hospice facilities. Older infrastructure, inadequate access to care, and financial barriers add to the medical complexity of care for all patients, and especially hematologic patients with high needs and complex treatment planning. These have been aggravated by rural hospital closures in the previous 18 months. The us senate is currently debating a bipartisan infrastructure that may add billions in building rural healthcare infrastructure to state budgets. Our findings are timely in helping inform congressional policy. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Author(s):  
Marya L. Poterek ◽  
Moritz U.G. Kraemer ◽  
Alexander Watts ◽  
Kamran Khan ◽  
T. Alex Perkins

AbstractMeasles incidence in the United States has grown dramatically, as vaccination rates are declining and transmission internationally is on the rise. Measles virus is highly infectious and can cause severe symptoms and even death. Because imported cases are necessary drivers of outbreaks in non-endemic settings, predicting measles outbreaks in the US depends on predicting imported cases. To assess the predictability of imported measles cases, we performed a regression of imported measles cases in the US against an inflow variable that combines air travel data with international measles surveillance data. To understand the contribution of each data type to these predictions, we repeated the regression analysis with alternative versions of the inflow variable that replaced each data type with averaged values and with versions of the inflow variable that used modeled inputs. We assessed the performance of these regression models using correlation, coverage probability, and area under the curve statistics, including with resampling and cross-validation. Our regression model had good predictive ability with respect to the presence or absence of imported cases in a given state in a given year (AUC = 0.78) and the magnitude of imported cases (Pearson correlation = 0.84). By comparing alternative versions of the inflow variable averaging over different inputs, we found that both air travel data and international surveillance data contribute to the model’s ability to predict numbers of imported cases, and individually contribute to its ability to predict the presence or absence of imported cases. Predicted sources of imported measles cases varied considerably across years and US states, depending on which countries had high measles activity in a given year. Our results emphasize the importance of the relationship between global connectedness and the spread of measles.


2021 ◽  
Author(s):  
Eric Tate ◽  
Md Asif Rahman ◽  
Christopher T. Emrich ◽  
Christopher C. Sampson

AbstractHuman exposure to floods continues to increase, driven by changes in hydrology and land use. Adverse impacts amplify for socially vulnerable populations, who disproportionately inhabit flood-prone areas. This study explores the geography of flood exposure and social vulnerability in the conterminous United States based on spatial analysis of fluvial and pluvial flood extent, land cover, and social vulnerability. Using bivariate Local Indicators of Spatial Association, we map hotspots where high flood exposure and high social vulnerability converge and identify dominant indicators of social vulnerability within these places. The hotspots, home to approximately 19 million people, occur predominantly in rural areas and across the US South. Mobile homes and racial minorities are most overrepresented in hotspots compared to elsewhere. The results identify priority locations where interventions can mitigate both physical and social aspects of flood vulnerability. The variables that most distinguish the clusters are used to develop an indicator set of social vulnerability to flood exposure. Understanding who is most exposed to floods and where, can be used to tailor mitigation strategies to target those most in need.


Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 155
Author(s):  
Marya L. Poterek ◽  
Moritz U. G. Kraemer ◽  
Alexander Watts ◽  
Kamran Khan ◽  
T. Alex Perkins

Measles incidence in the United States has grown dramatically, as vaccination rates are declining and transmission internationally is on the rise. Because imported cases are necessary drivers of outbreaks in non-endemic settings, predicting measles outbreaks in the US depends on predicting imported cases. To assess the predictability of imported measles cases, we performed a regression of imported measles cases in the US against an inflow variable that combines air travel data with international measles surveillance data. To understand the contribution of each data type to these predictions, we repeated the regression analysis with alternative versions of the inflow variable that replaced each data type with averaged values and with versions of the inflow variable that used modeled inputs. We assessed the performance of these regression models using correlation, coverage probability, and area under the curve statistics, including with resampling and cross-validation. Our regression model had good predictive ability with respect to the presence or absence of imported cases in a given state in a given year (area under the curve of the receiver operating characteristic curve (AUC) = 0.78) and the magnitude of imported cases (Pearson correlation = 0.84). By comparing alternative versions of the inflow variable averaging over different inputs, we found that both air travel data and international surveillance data contribute to the model’s ability to predict numbers of imported cases and individually contribute to its ability to predict the presence or absence of imported cases. Predicted sources of imported measles cases varied considerably across years and US states, depending on which countries had high measles activity in a given year. Our results emphasize the importance of the relationship between global connectedness and the spread of measles. This study provides a framework for predicting and understanding imported case dynamics that could inform future studies and outbreak prevention efforts.


Author(s):  
Ma Yisha

Since the financial crisis in 2008, the U.S. economy has weakened, and the world economy has slowly developed. As the world's leading country, the United States has used many methods to restore the economy. But it does work efficiently. However, there are many issues in developed countries such as domestic social, economic, immigration in the United States/United Kingdom; those are not optimistic. Developed countries have entered a dilemma. The neoliberalism financial system has been unable to move forward. Populists have pointed out that those problems have been causing by globalization. Under the leadership of the Brexit Referendum, President Trump has caused a wave of anti-globalization. Under a series of systems such as the China-US trade war and the US-Mexico border wall repairs, the anti-globalization trend is getting stronger. This article mainly analyzes the in-depth reasons and mechanism research of globalization and anti-globalization alternately—the data obtained from an international method performance study. The results show that anti-globalization is temporary, along with globalization. There are three main factors affecting globalization: the situation of the dominant country, natural disasters, and wars. After so much literature review, I believe that the United States' globalization is gradually weakening, and globalization may return to regionalization under the United States' opposition.


Author(s):  
Teresa Yamana ◽  
Sen Pei ◽  
Jeffrey Shaman

AbstractIn March and April 2020, control measures enforcing social distancing and restricting individual movement and contact were adopted across the United States in an effort to slow the spread and growth of COVID-19. However, a number of states have now begun to ease these restrictions. Here, we evaluate the effects of loosening stay-at-home orders on COVID-19 incidence and related outcomes. We use a metapopulation model applied at county resolution to simulate the spread and growth of COVID-19 incidence in the United States. We calibrate the model against county-level daily case and death data collected from February 21, 2020 to May 2, 2020, and project the outbreak in 3,142 US counties for 6 weeks into the future. Projections for daily reported cases, daily new infections (both reported and unreported), new and cumulative hospital bed demand, ICU bed and ventilator demand, as well as daily mortality, are generated. We observe a rebound in COVID-19 incidence and deaths beginning in late May, approximately 2 to 4 weeks after states begin to reopen. Importantly, the lag between infection acquisition and case confirmation, coupled with insufficient broader testing and contact tracing, will mask any rebound and exponential growth of the COVID-19 until it is well underway.


Buildings ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 5
Author(s):  
Sara Gusmao Brissi ◽  
Luciana Debs ◽  
Emad Elwakil

The increasing demand for multifamily housing in the United States requires alternatives for building more affordable and sustainable housing to improve the quality of life for millions of families. Offsite construction (OSC) strategies may be a viable alternative for tackling this problem. Although the use of OSC is significant in the multifamily housing market in the world and it is also very promising in the US, a scarce amount of literature has focused on this topic. The purpose of this study is to identify specific factors that affect decisions on the use of OSC in multifamily housing in the US. Focusing on the sustainability dimensions of construction—social, environmental, and economic—the authors reviewed literature that was published between 2000 and 2019 and identified factors that are related to OSC adoption in general construction, in housing construction, and, more specifically, in multifamily housing construction in the US. Subsequently, a discussion on some important factors affecting decisions on the use of OSC in the American multifamily market is provided. The discussion focused on factors that, although important, have been under explored in the literature that addresses the use of OSC in multifamily projects, especially in the US, which are: customer’s attitude, building performance, and building comfort and indoor environmental quality (IEQ). In addition, a brief discussion regarding the importance of design to the uptake of OSC in multifamily projects is provided. This is one of the first studies dedicated to exploring the social, environmental, and economic factors that affect the use of OSC in multifamily housing in the US. The study also identifies research gaps, which serve as a roadmap for future research.


2021 ◽  
Author(s):  
Nahid Shah

The purpose of this study was to examine factors affecting YouTube channel adoption by independent luxury hotels in Canada and the United States (US). Using a sample of 651 independent luxury hotels in Canada and the US from Smith Travel Research (STR), we tested for YouTube channel adoption. The study used organizational factors of Technology-OrganizationEnvironment (TOE) framework and examined five different hotel characteristics; 1) year built, 2) location, 3) size, 4) facilities and 5) room rate. Multiple regression analysis was used to test the relationships between the five different hotel factors and YouTube channel adoption. Results revealed that only size and facilities (golf, convention rooms and spa) were significantly associated with the adoption of a YouTube channel. This research was the first initiative to explore a relationship between hotel characteristics and YouTube channel adoption by hotels. This study made an essential contribution advancing the knowledge on what factors influence YouTube channel adoption by hotels.


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