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 Feeding the disparities: the geography and trends of breastfeeding in the United States

2018 ◽  
Author(s):  
Romain Garnier ◽  
Ana I. Bento ◽  
Pejman Rohani ◽  
Saad B. Omer ◽  
Shweta Bansal
Keyword(s):  
Public Health ◽  
United States ◽  
Breast Milk ◽  
Low Income ◽  
Temporal Trends ◽  
State Level ◽  
The United States ◽  
Poverty Level ◽  
Future Health ◽  
Breastfeeding Rates

AbstractThere is scientific consensus on the importance of breastfeeding for the present and future health of newborns, in high- and low-income settings alike. In the United States, improving breast milk access is a public health priority but analysis of secular trends are largely lacking. Here, we used data from the National Immunization Survey of the CDC, collected between 2003 and 2016, to illustrate the temporal trends and the spatial heterogeneity in breastfeeding. We also considered the effect sizes of two key determinants of breastfeeding rates. We show that, while access to breast milk both at birth and at 6 months old has steadily increased over the past decade, large spatial disparities still remain at the state level. We also find that, since 2009, the proportion of households below the poverty level has become the strongest predictor of breastfeeding rates. We argue that, because variations in breastfeeding rates are associated with socio-economic factors, public health policies advocating for breastfeeding are still needed in particular in underserved communities. This is key to reducing longer term health disparities in the U.S., and more generally in high-income countries.

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 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

scholarly journals Geographic Variation in Trends and Disparities in Heart Failure Mortality in the United States, 1999 to 2017

2021 ◽  
Author(s):  
Peter A. Glynn ◽  
Rebecca Molsberry ◽  
Katharine Harrington ◽  
Nilay S. Shah ◽  
Lucia C. Petito ◽  
...  
Keyword(s):  
United States ◽  
Heart Failure ◽  
Cardiovascular Disease ◽  
Geographic Variation ◽  
Temporal Trends ◽  
State Level ◽  
The United States ◽  
The South ◽  
Cardiovascular Disease Mortality ◽  
Disease Mortality

Background Cardiovascular disease mortality related to heart failure (HF) is rising in the United States. It is unknown whether trends in HF mortality are consistent across geographic areas and are associated with state‐level variation in cardiovascular health (CVH). The goal of the present study was to assess regional and state‐level trends in cardiovascular disease mortality related to HF and their association with variation in state‐level CVH. Methods and Results Age‐adjusted mortality rates (AAMR) per 100 000 attributable to HF were ascertained using the Centers for Disease Control and Prevention's Wide‐Ranging Online Data for Epidemiologic Research from 1999 to 2017. CVH at the state‐level was quantified using the Behavioral Risk Factor Surveillance System. Linear regression was used to assess temporal trends in HF AAMR were examined by census region and state and to examine the association between state‐level CVH and HF AAMR. AAMR attributable to HF declined from 1999 to 2011 and increased between 2011 and 2017 across all census regions. Annual increases after 2011 were greatest in the Midwest (β=1.14 [95% CI, 0.75, 1.53]) and South (β=0.96 [0.66, 1.26]). States in the South and Midwest consistently had the highest HF AAMR in all time periods, with Mississippi having the highest AAMR (109.6 [104.5, 114.6] in 2017). Within race‒sex groups, consistent geographic patterns were observed. The variability in HF AAMR was associated with state‐level CVH ( P <0.001). Conclusions Wide geographic variation exists in HF mortality, with the highest rates and greatest recent increases observed in the South and Midwest. Higher levels of poor CVH in these states suggest the potential for interventions to promote CVH and reduce the burden of HF.

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.

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