scholarly journals County-level Variation in Infant Mortality Reporting at Early Previable Gestational Ages

2017 ◽  
Vol 31 (5) ◽  
pp. 385-391 ◽  
Author(s):  
Neera K. Goyal ◽  
Emily DeFranco ◽  
Beena D. Kamath-Rayne ◽  
Andrew F. Beck ◽  
Eric S. Hall
2021 ◽  
Author(s):  
David S Jacks ◽  
Krishna Pendakur ◽  
Hitoshi Shigeoka

Abstract Using new data on county-level variation in alcohol prohibition from 1933 to 1939, we investigate whether the repeal of federal prohibition increased infant mortality, both in counties and states that repealed and in neighboring counties. We find that repeal is associated with a 4.0% increase in infant mortality rates in counties that chose wet status via local option elections or state-wide legislation and with a 4.7% increase in neighboring dry counties, suggesting a large role for cross-border policy externalities. These estimates imply that roughly 27,000 excess infant deaths could be attributed to the repeal of federal prohibition in this period.


2020 ◽  
Vol 738 ◽  
pp. 140195 ◽  
Author(s):  
Ning Wang ◽  
Kerrie Mengersen ◽  
Shilu Tong ◽  
Michael Kimlin ◽  
Maigeng Zhou ◽  
...  

Medical Care ◽  
2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Clare C. Brown ◽  
Jennifer E. Moore ◽  
Holly C. Felix ◽  
M. Kathryn Stewart ◽  
J. Mick Tilford

2020 ◽  
Vol 6 (29) ◽  
pp. eaba5908
Author(s):  
Nick Turner ◽  
Kaveh Danesh ◽  
Kelsey Moran

What is the relationship between infant mortality and poverty in the United States and how has it changed over time? We address this question by analyzing county-level data between 1960 and 2016. Our estimates suggest that level differences in mortality rates between the poorest and least poor counties decreased meaningfully between 1960 and 2000. Nearly three-quarters of the decrease occurred between 1960 and 1980, coincident with the introduction of antipoverty programs and improvements in medical care for infants. We estimate that declining inequality accounts for 18% of the national reduction in infant mortality between 1960 and 2000. However, we also find that level differences between the poorest and least poor counties remained constant between 2000 and 2016, suggesting an important role for policies that improve the health of infants in poor areas.


2010 ◽  
Vol 40 (10) ◽  
pp. 1241-1246 ◽  
Author(s):  
David S. Mandell ◽  
Knashawn H. Morales ◽  
Ming Xie ◽  
Daniel Polsky ◽  
Aubyn Stahmer ◽  
...  

PLoS Medicine ◽  
2021 ◽  
Vol 18 (5) ◽  
pp. e1003571
Author(s):  
Andrew C. Stokes ◽  
Dielle J. Lundberg ◽  
Irma T. Elo ◽  
Katherine Hempstead ◽  
Jacob Bor ◽  
...  

Background Coronavirus Disease 2019 (COVID-19) excess deaths refer to increases in mortality over what would normally have been expected in the absence of the COVID-19 pandemic. Several prior studies have calculated excess deaths in the United States but were limited to the national or state level, precluding an examination of area-level variation in excess mortality and excess deaths not assigned to COVID-19. In this study, we take advantage of county-level variation in COVID-19 mortality to estimate excess deaths associated with the pandemic and examine how the extent of excess mortality not assigned to COVID-19 varies across subsets of counties defined by sociodemographic and health characteristics. Methods and findings In this ecological, cross-sectional study, we made use of provisional National Center for Health Statistics (NCHS) data on direct COVID-19 and all-cause mortality occurring in US counties from January 1 to December 31, 2020 and reported before March 12, 2021. We used data with a 10-week time lag between the final day that deaths occurred and the last day that deaths could be reported to improve the completeness of data. Our sample included 2,096 counties with 20 or more COVID-19 deaths. The total number of residents living in these counties was 319.1 million. On average, the counties were 18.7% Hispanic, 12.7% non-Hispanic Black, and 59.6% non-Hispanic White. A total of 15.9% of the population was older than 65 years. We first modeled the relationship between 2020 all-cause mortality and COVID-19 mortality across all counties and then produced fully stratified models to explore differences in this relationship among strata of sociodemographic and health factors. Overall, we found that for every 100 deaths assigned to COVID-19, 120 all-cause deaths occurred (95% CI, 116 to 124), implying that 17% (95% CI, 14% to 19%) of excess deaths were ascribed to causes of death other than COVID-19 itself. Our stratified models revealed that the percentage of excess deaths not assigned to COVID-19 was substantially higher among counties with lower median household incomes and less formal education, counties with poorer health and more diabetes, and counties in the South and West. Counties with more non-Hispanic Black residents, who were already at high risk of COVID-19 death based on direct counts, also reported higher percentages of excess deaths not assigned to COVID-19. Study limitations include the use of provisional data that may be incomplete and the lack of disaggregated data on county-level mortality by age, sex, race/ethnicity, and sociodemographic and health characteristics. Conclusions In this study, we found that direct COVID-19 death counts in the US in 2020 substantially underestimated total excess mortality attributable to COVID-19. Racial and socioeconomic inequities in COVID-19 mortality also increased when excess deaths not assigned to COVID-19 were considered. Our results highlight the importance of considering health equity in the policy response to the pandemic.


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