scholarly journals United States State-Level Variation in the Use of Neuraxial Analgesia During Labor for Pregnant Women

2018 ◽  
Vol 1 (8) ◽  
pp. e186567 ◽  
Author(s):  
Alexander J. Butwick ◽  
Jason Bentley ◽  
Cynthia A. Wong ◽  
Jonathan M. Snowden ◽  
Eric Sun ◽  
...  
Keyword(s):  
United States ◽  
Pregnant Women ◽  
State Level ◽  
Level Variation ◽  
Neuraxial Analgesia

scholarly journals United States State-Level Variation in the Use of Neuraxial Analgesia During Labor for Pregnant Women

2019 ◽  
Vol 39 (3) ◽  
pp. 162
Author(s):  
A.J. Butwick ◽  
J. Bentley ◽  
C.A. Wong ◽  
J.M. Snowden ◽  
E. Sun ◽  
...  
Keyword(s):  
United States ◽  
Pregnant Women ◽  
State Level ◽  
Level Variation ◽  
Neuraxial Analgesia

scholarly journals State-level variation of initial COVID-19 dynamics in the United States

PLoS ONE ◽  
2020 ◽  
Vol 15 (10) ◽  
pp. e0240648 ◽  
Author(s):  
Easton R. White ◽  
Laurent Hébert-Dufresne
Keyword(s):  
United States ◽  
State Level ◽  
The United States ◽  
Level Variation

scholarly journals Family Policy in the United States: State-Level Variation in Policy and Poverty Outcomes from 1980 to 2015

2020 ◽  
pp. 459-483
Author(s):  
Zachary Parolin ◽  
Rosa Daiger von Gleichen
Keyword(s):  
United States ◽  
Family Policy ◽  
State Level ◽  
The United States ◽  
Social Consequences ◽  
Level Variation ◽  
Transfer Programs ◽  
Medical Spending ◽  
The Social ◽  
Over Time

AbstractThis chapter investigates the diversity and divergence of three sets of family policy indicators across the 50 United States: money, services, and time. Our findings show that the 50 United States vary considerably in their family policy packages. States have become more dissimilar over time with respect to social assistance transfers and statutory minimum wages, but have become more similar in their subsidization of low-pay employment. Moreover, states vary greatly in their levels of support for early childhood education and healthcare. State-level variation in out-of-pocket medical spending has more than doubled from 1980 to 2015, in large part due to some states deciding to expand Medicaid access from 2009 onward. Despite large diversity and some divergence in states’ family policy packages, post-tax/transfer poverty rates have remained relatively stable over time. This is partially due to an increase in federally funded transfer programs mitigating the social consequences of state-level diversity.

scholarly journals 528: STATE-LEVEL VARIATION IN TEMPORAL TRENDS OF SEPSIS MORTALITY IN THE UNITED STATES, 2010-2019

2021 ◽  
Vol 50 (1) ◽  
pp. 255-255
Author(s):  
Thao Dang ◽  
John Garza ◽  
Mandeep Sidhu ◽  
Neha Panchagnula ◽  
Saima Mahmood ◽  
...  
Keyword(s):  
United States ◽  
Temporal Trends ◽  
State Level ◽  
The United States ◽  
Level Variation ◽  
Sepsis Mortality

scholarly journals Exploring reasons for state-level variation in incidence of dialysis-requiring acute kidney injury (AKI-D) in the United States

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Zijin Chen ◽  
◽  
Charles E. McCulloch ◽  
Neil R. Powe ◽  
Michael Heung ◽  
...  
Keyword(s):  
United States ◽  
Acute Kidney Injury ◽  
Kidney Injury ◽  
State Level ◽  
The United States ◽  
Level Variation

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.

Sign in / Sign up

Export Citation Format

Share Document