scholarly journals State-level tracking of COVID-19 in the United States

2020 ◽  
Author(s):  
H. Juliette T. Unwin ◽  
Swapnil Mishra ◽  
Valerie C. Bradley ◽  
Axel Gandy ◽  
Thomas A. Mellan ◽  
...  
Keyword(s):  
State Level ◽  
The United States ◽  
Bayesian Hierarchical ◽  
Secondary Infections ◽  
The Us ◽  
Control And Prevention ◽  
Credible Intervals ◽  
Behaviour Changes ◽  
The Impact ◽  
Number Of Individuals

AbstractAs of 1st June 2020, the US Centers for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly modelled the US epidemic at the state-level, using publicly available death data within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We used changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on the rate of transmission of SARS-CoV-2. On 1st June, we estimated that Rt was only below one in 23 states. We also estimated that 3.7% [3.4%-4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.

scholarly journals State-level tracking of COVID-19 in the United States

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
H. Juliette T. Unwin ◽  
Swapnil Mishra ◽  
Valerie C. Bradley ◽  
Axel Gandy ◽  
Thomas A. Mellan ◽  
...  
Keyword(s):  
State Level ◽  
The United States ◽  
Bayesian Hierarchical ◽  
Secondary Infections ◽  
The Us ◽  
Control And Prevention ◽  
Credible Intervals ◽  
Behaviour Changes ◽  
The Impact ◽  
Number Of Individuals

AbstractAs of 1st June 2020, the US Centres for Disease Control and Prevention reported 104,232 confirmed or probable COVID-19-related deaths in the US. This was more than twice the number of deaths reported in the next most severely impacted country. We jointly model the US epidemic at the state-level, using publicly available death data within a Bayesian hierarchical semi-mechanistic framework. For each state, we estimate the number of individuals that have been infected, the number of individuals that are currently infectious and the time-varying reproduction number (the average number of secondary infections caused by an infected person). We use changes in mobility to capture the impact that non-pharmaceutical interventions and other behaviour changes have on the rate of transmission of SARS-CoV-2. We estimate that Rt was only below one in 23 states on 1st June. We also estimate that 3.7% [3.4%–4.0%] of the total population of the US had been infected, with wide variation between states, and approximately 0.01% of the population was infectious. We demonstrate good 3 week model forecasts of deaths with low error and good coverage of our credible intervals.

The Shortage of Trauma Surgeons in the US

2021 ◽  
pp. 000313482098880
Author(s):  
Adel Elkbuli ◽  
Mason Sutherland ◽  
Carol Sanchez ◽  
Huazhi Liu ◽  
Darwin Ang ◽  
...  
Keyword(s):  
Trauma Patient ◽  
Cohort Analysis ◽  
State Level ◽  
Educational Interventions ◽  
The United States ◽  
Census Bureau ◽  
The Us ◽  
Control And Prevention ◽  
Trauma Surgeons ◽  
Us Census

Background As the United States (US) population increases, the demand for more trauma surgeons (TSs) will increase. There are no recent studies comparing the TS density temporally and geographically. We aim to evaluate the density and distribution of TSs by state and region and its impact on trauma patient mortality. Methods A retrospective cohort analysis of the American Medical Association Physician Masterfile (PM), 2016 US Census Bureau, and Centers for Disease Control and Prevention (CDC’s) Web-based Injury Statistics Query and Reporting System (WISQARS) to determine TS density. TS density was calculated by dividing the number of TSs per 1 000 000 population at the state level, and divided by 500 admissions at the regional level. Trauma-related mortality by state was obtained through the CDC’s WISQARS database, which allowed us to estimate trauma mortality per 100 000 population. Results From 2007 to 2014, the net increase of TS was 3160 but only a net increase of 124 TSs from 2014 to 2020. Overall, the US has 12.58 TSs/1 000 000 population. TS density plateaued from 2014 to 2020. 33% of states have a TS density of 6-10/1 000 000 population, 43% have a density of 10-15, 12% have 15-20, and 12% have a density >20. The Northeast has the highest density of TSs per region (2.95/500 admissions), while the Midwest had the lowest (1.93/500 admissions). Conclusion The density of TSs in the US varies geographically, has plateaued nationally, and has implications on trauma patient mortality. Future studies should further investigate causes of the TS shortage and implement institutional and educational interventions to properly distribute TSs across the US and reduce geographic disparities.

The Changing Epidemiology of Hepatitis C Virus Infection in the United States During the Years 2010 to 2018

2021 ◽  
pp. e1-e7
Author(s):  
Deborah Holtzman ◽  
Alice K. Asher ◽  
Sarah Schillie
Keyword(s):  
United States ◽  
Hepatitis C Virus ◽  
Hepatitis C ◽  
The United States ◽  
Hcv Infection ◽  
The Us ◽  
Acute Hcv ◽  
Control And Prevention ◽  
Reported Data ◽  
The Impact

Hepatitis C virus (HCV) infection remains an important cause of morbidity and mortality throughout the world, leading to serious health problems among those who are chronically infected. Since 1992, the Centers for Disease Control and Prevention has been collecting data on the incidence of HCV infection in the United States. In 2018, more than 50 000 individuals were estimated to have acute HCV infection. The most recently reported data on the prevalence of infection indicate that approximately 2.4 million people are living with hepatitis C in the United States. Transmission of HCV occurs predominantly through sharing contaminated equipment for injecting drugs. Two major events have had a significant impact on the incidence and prevalence of hepatitis C in the past few decades: the US opioid crisis and the discovery of curative treatments for HCV infection. To better understand the impact of these events, we examine reported trends in the incidence and prevalence of infection. (Am J Public Health. Published online ahead of print March 18, 2021: e1–e7. https://doi.org/10.2105/AJPH.2020.306149 )

The Impact of Monetary and Fiscal Policies on the Stock Market in the United States (U.S); Evidence from Linear ARDL Framework

2020 ◽  
Vol 11 (1) ◽  
pp. 132-132
Author(s):  
Aref Emamian
Keyword(s):  
United States ◽  
Stock Market ◽  
The United States ◽  
Real Effective Exchange Rate ◽  
Annual Data ◽  
Fiscal Policies ◽  
Long Run ◽  
The Us ◽  
Short Run ◽  
The Impact

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States

scholarly journals Spring Freeze Damage of Pecan Bloom: A Review

Horticulturae ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 82
Author(s):  
Amandeep Kaur ◽  
Louise Ferguson ◽  
Niels Maness ◽  
Becky Carroll ◽  
William Reid ◽  
...  
Keyword(s):  
Tree Height ◽  
The United States ◽  
Reproductive Organs ◽  
Tree Age ◽  
The Us ◽  
Nut Production ◽  
Freeze Damage ◽  
Terminal Buds ◽  
And Function ◽  
The Impact

Pecan is native to the United States. The US is the world’s largest pecan producer with an average yearly production of 250 to 300 million pounds; 80 percent of the world’s supply. Georgia, New Mexico, Texas, Arizona, Oklahoma, California, Louisiana, and Florida are the major US pecan producing states. Pecan trees frequently suffer from spring freeze at bud break and bloom as the buds are quite sensitive to freeze damage. This leads to poor flower and nut production. This review focuses on the impact of spring freeze during bud differentiation and flower development. Spring freeze kills the primary terminal buds, the pecan tree has a second chance for growth and flowering through secondary buds. Unfortunately, secondary buds have less bloom potential than primary buds and nut yield is reduced. Spring freeze damage depends on severity of the freeze, bud growth stage, cultivar type and tree age, tree height and tree vigor. This review discusses the impact of temperature on structure and function of male and female reproductive organs. It also summarizes carbohydrate relations as another factor that may play an important role in spring growth and transition of primary and secondary buds to flowers.

scholarly journals Mining Google and Apple mobility data: temporal anatomy for COVID-19 social distancing

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corentin Cot ◽  
Giacomo Cacciapaglia ◽  
Francesco Sannino
Keyword(s):  
Infection Rate ◽  
The United States ◽  
Strong Decrease ◽  
Social Distancing ◽  
Mobility Data ◽  
Actual Measure ◽  
The Us ◽  
The Impact ◽  
Political Decisions ◽  
Mobility Reduction

AbstractWe employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20–40% in the infection rate in Europe and 30–70% in the US.

scholarly journals Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States

2021 ◽  
Vol 18 (9) ◽  
pp. 4560
Author(s):  
Mostafa Abbas ◽  
Thomas B. Morland ◽  
Eric S. Hall ◽  
Yasser EL-Manzalawy
Keyword(s):  
Functional Data ◽  
Time Series Data ◽  
Principal Component ◽  
State Level ◽  
The United States ◽  
Functional Principal Component Analysis ◽  
Series Data ◽  
Dynamic Correlation ◽  
The Us ◽  
Google Search

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.

scholarly journals Shooting from the ‘Scrip: Scope of Practice Laws and Access to Immunizations in the Pharmacy Setting

Vaccines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 444
Author(s):  
Charles Stoecker
Keyword(s):  
Positive Impact ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Scope Of Practice ◽  
Patient Specific ◽  
Behavioral Risk ◽  
Influenza Immunization ◽  
Immunization Rates ◽  
The Impact

In the past two decades, most states in the United States have added authorization for pharmacists to administer some vaccinations. Expansions of this authority have also come with prescription requirements or other regulatory burdens. The objective of this study was to evaluate the impact of these expansions on influenza immunization rates in adults age 65 and over. A panel data, differences-in-differences regression framework to control for state-level unobserved confounders and shocks at the national level was used on a combination of a dataset of state-level statute and regulatory changes and influenza immunization data from the Behavioral Risk Factor Surveillance System. Giving pharmacists permission to vaccinate had a positive impact on adult influenza immunization rates of 1.4 percentage points for adults age 65 and over. This effect was diminished by the presence of laws requiring pharmacists to obtain patient-specific prescriptions. There was no evidence that allowing pharmacists to administer vaccinations led patients to have fewer annual check-ups with physicians or not have a usual source of health care. Expanding pharmacists’ scope of practice laws to include administering the influenza vaccine had a positive impact on influenza shot uptake. This may have implications for relaxing restrictions on other forms of care that could be provided by pharmacists.

GPTs and growth: evidence on the technological adoption of electrical and electronic technologies in the 1920s

2020 ◽  
Author(s):  
Sergio Petralia
Keyword(s):  
The United States ◽  
General Purpose ◽  
Geographical Information ◽  
General Purpose Technologies ◽  
Technological Adoption ◽  
Transformative Potential ◽  
The Us ◽  
The Impact ◽  
Electronic Technologies ◽  
Patenting Activity

Abstract The pervasive diffusion of electricity-related technologies at the beginning of the twentieth century has been studied extensively to understand the transformative potential of general purpose technologies (GPTs). Most of what we know, however, has been investigated in relation to the diffusion of their use. This article provides evidence on the county-level economic impact of the technological adoption of electrical and electronic (E&E) technologies in the 1920s in the United States (US). It focuses on measuring the impact of a GPT on technological adopters, i.e., those who are able to develop, transform, and complement it. It is shown that places with patenting activity in E&E technologies grew faster and paid higher wages than others between 1920 and 1930. This analysis required constructing a novel database identifying detailed geographical information for historical patent documents in the US since 1836, as well as developing a text-mining algorithm to identify E&E patents based on patent descriptions.

scholarly journals Levofloxacin-Resistant Invasive Streptococcus pneumoniae in the United States: Evidence for Clonal Spread and the Impact of Conjugate Pneumococcal Vaccine

2004 ◽  
Vol 48 (9) ◽  
pp. 3491-3497 ◽  
Author(s):  
Mathias W. R. Pletz ◽  
Lesley McGee ◽  
James Jorgensen ◽  
Bernard Beall ◽  
Richard R. Facklam ◽  
...  
Keyword(s):  
United States ◽  
Streptococcus Pneumoniae ◽  
The United States ◽  
Fluoroquinolone Resistance ◽  
Active Efflux ◽  
Vaccine Serotypes ◽  
Drug Classes ◽  
Control And Prevention ◽  
Clonal Spread ◽  
The Impact

ABSTRACT The emergence of fluoroquinolone resistance in sterile-site isolates of Streptococcus pneumoniae is documented in this study characterizing all invasive levofloxacin-resistant (MIC, ≥8 mg/liter) S. pneumoniae isolates (n = 50) obtained from the Centers for Disease Control and Prevention Active Bacterial Core Surveillance from 1998 to 2002. Resistance among all isolates increased from 0.1% in 1998 to 0.6% in 2001 (P = 0.008) but decreased to 0.4% in 2002, while resistance among vaccine serotypes continued to increase from 0.3% in 1998 to 1.0% in 2002, suggesting that fluoroquinolones continue to exert selective pressure on these vaccine serotypes. Only 22% of resistant isolates were not covered by the conjugate vaccine serogroups. Multilocus sequence typing revealed that 58% of resistant strains were related to five international clones identified by the Pneumococcal Molecular Epidemiology Network, with the Spain23F-1 clone being most frequent (16% of all isolates). Thirty-six percent of the isolates were coresistant to penicillin, 44% were coresistant to macrolides, and 28% were multiresistant to penicillin, macrolides, and fluoroquinolones. Fifty percent of the isolates were resistant to any three drug classes. Ninety-four percent of the isolates had multiple mutations in the quinolone resistance-determining regions of the gyrA, gyrB, parC, and parE genes. In 16% of the isolates, there was evidence of an active efflux mechanism. An unusual isolate was found that showed only a single parE mutation and for which the ciprofloxacin MIC was lower (2 mg/liter) than that of levofloxacin (8 mg/liter). Our results suggest that invasive pneumococcal isolates resistant to levofloxacin in the United States show considerable evidence of multiple resistance and of clonal spread.

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