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Geospatial Analysis of Drug Poisoning Deaths Involving Heroin in the USA, 2000–2014

Overview of attention for article published in Journal of Urban Health, June 2017
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Title
Geospatial Analysis of Drug Poisoning Deaths Involving Heroin in the USA, 2000–2014
Published in
Journal of Urban Health, June 2017
DOI 10.1007/s11524-017-0177-7
Pubmed ID
Authors

Kathleen Stewart, Yanjia Cao, Margaret H. Hsu, Eleanor Artigiani, Eric Wish

Abstract

We investigate the geographic patterns of drug poisoning deaths involving heroin by county for the USA from 2000 to 2014. The county-level patterns of mortality are examined with respect to age-adjusted rates of death for different classes of urbanization and racial and ethnic groups, while rates based on raw counts of drug poisoning deaths involving heroin are estimated for different age groups and by gender. To account for possible underestimations in these rates due to small areas or small numbers, spatial empirical Baye's estimation techniques have been used to smooth the rates of death and alleviate underestimation when analyzing spatial patterns for these different groups. The geographic pattern of poisoning deaths involving heroin has shifted from the west coast of the USA in the year 2000 to New England, the Mid-Atlantic region, and the Great Lakes and central Ohio Valley by 2014. The evolution over space and time of clusters of drug poisoning deaths involving heroin is confirmed through the SaTScan analysis. For this period, White males were found to be the most impacted population group overall; however, Blacks and Hispanics are highly impacted in counties where significant populations of these two groups reside. Our results show that while 35-54-year-olds were the most highly impacted age group by county from 2000 to 2010, by 2014, the trend had changed with an increasing number of counties experiencing higher death rates for individuals 25-34 years. The percentage of counties across the USA classified as large metro with deaths involving heroin is estimated to have decreased from approximately 73% in 2010 to just fewer than 56% in 2014, with a shift to small metro and non-metro counties. Understanding the geographic variations in impact on different population groups in the USA has become particularly necessary in light of the extreme increase in the use and misuse of street drugs including heroin and the subsequent rise in opioid-related deaths in the USA.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 22%
Researcher 16 19%
Student > Ph. D. Student 14 17%
Other 6 7%
Student > Bachelor 5 6%
Other 11 13%
Unknown 13 16%
Readers by discipline Count As %
Social Sciences 19 23%
Medicine and Dentistry 11 13%
Nursing and Health Professions 4 5%
Computer Science 3 4%
Psychology 3 4%
Other 20 24%
Unknown 23 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 September 2018.
All research outputs
#14,253,126
of 25,159,758 outputs
Outputs from Journal of Urban Health
#1,009
of 1,376 outputs
Outputs of similar age
#154,263
of 322,710 outputs
Outputs of similar age from Journal of Urban Health
#16
of 23 outputs
Altmetric has tracked 25,159,758 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.