Related Experiment Video
Updated: Feb 3, 2026

07:17
MEDUSA for Identifying Death Regulatory Genes in Chemo-genetic Profiling Data
Published on: February 7, 2025
925
Understanding Geographic and Neighborhood Variations in Overdose Death Rates.
Jascha Wagner1, Logan Neitzke-Spruill1, Daniel O'Connell1
1University of Delaware, Newark, DE, USA.
Journal of Community Health
|October 22, 2018
Summary
The opioid epidemic shows higher overdose deaths in rural areas. Neighborhood socio-economic and demographic factors significantly impact overdose death rates, revealing critical variations within geographic regions.
Area of Science:
- Public Health
- Epidemiology
- Sociology
Background:
- The opioid epidemic presents complex challenges, with a notable increase in overdose deaths in rural areas.
- Existing research often overlooks neighborhood-level variations within rural and urban settings.
- Understanding geographic and demographic heterogeneities is crucial for targeted interventions.
Purpose of the Study:
- To investigate neighborhood variations in overdose death rates using geodemographic classification.
- To identify specific socio-economic and demographic characteristics associated with higher overdose mortality.
- To determine the concentration of the opioid overdose problem across diverse neighborhoods.
Main Methods:
- Geodemographic classification was employed to analyze overdose death data.
- Overdose death rates were examined across neighborhoods defined by socio-economic and demographic traits.
- Data spanned the period from 2013 to 2016.
Main Results:
- Significant variations in overdose death rates were observed among different neighborhoods.
- Overdose death rates exhibited up to a 13-fold difference between neighborhoods within the same geographic areas.
- Neighborhood socio-economic and demographic characteristics were strongly linked to overdose mortality.
Conclusions:
- While rural-urban classifications are relevant, they are insufficient for fully understanding the opioid crisis.
- A granular analysis of neighborhood socio-economic and demographic factors is essential for effective public health strategies.
- Targeted interventions addressing specific neighborhood characteristics are necessary to combat the opioid epidemic effectively.
Related Concept Videos
What is Variation?
18.5K
Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
18.5K
Selected Data About Geographic Locations
276
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
276
Understanding the Self
295
The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
295
Variation
8.0K
An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean. The most common measure of variation, or spread, is the standard deviation, which is the square root of variance.
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
8.0K
Conservative Site-specific Recombination and Phase Variation
6.8K
Because the DNA segments are cut and reorganized in a direction-specific manner, site-specific recombination has emerged as an efficient genetic engineering technique. Flippase and Cyclization recombinases or Flp and Cre, respectively, are two members of the tyrosine recombinase family derived from bacteriophages, that are used to mediate site-specific DNA insertions, deletions, and targeted expression of proteins in mammalian cell lines.
The recognition sites for Cre recombinase called LoxP...
The recognition sites for Cre recombinase called LoxP...
6.8K
Variation of Atmospheric Pressure
4.1K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
4.1K

