Related Experiment Video
Updated: Apr 13, 2026

20:36
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
9.3K
Variations on the Village Model
Amanda J Lehning1, Andrew E Scharlach2, Joan K Davitt1
11 University of Maryland, Baltimore, USA.
Summary
Community-based Villages help older adults age in place. Research found no single Village model exists, but developed a typology based on member involvement, services, and funding, impacting future implementation and sustainability.
Area of Science:
- Gerontology
- Community Health
- Sociology
Background:
- Villages are community initiatives supporting older adults aging in place.
- These models have rapidly expanded since the early 2000s.
- Variations in the Village model exist, challenging uniform implementation.
Purpose of the Study:
- To examine variations in the characteristics of the Village model.
- To develop a typology of Villages based on empirical data.
- To understand the implications of Village typology for implementation and sustainability.
Main Methods:
- Analysis of a sample of Villages in the United States.
- Examination of Village characteristics, including member involvement, service provision, and funding.
- Development of a typology based on conceptual and empirical findings.
Main Results:
- No uniform Village model was identified.
- A typology of Villages was developed, reflecting consumer involvement.
- Descriptive analyses suggest differences in member, community, and organizational characteristics across Village types.
Conclusions:
- The developed typology offers insights into Village implementation and sustainability.
- Understanding Village types is crucial for tailoring them to specific community contexts.
- Further research is needed to explore the suitability of different Village types in various settings.
Related Concept Videos
What is Variation?
19.4K
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...
19.4K
Clearance Models: Compartment Models
2.7K
Clearance measures drug elimination from the central compartment, including plasma and highly perfused organs like kidneys and liver. Its calculation varies depending on pharmacokinetic models and administration routes. The one-compartment model, for instance, portrays the pharmacokinetics of polar drugs such as aminoglycoside antibiotics administered intravenously and readily excreted in urine. In this case, clearance is influenced by the terminal rate constant (λz) and the total volume...
2.7K
Variation
8.4K
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...
8.4K
Three-Compartment Open Model
1.1K
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
1.1K
Typical Model Studies
691
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
691
Modeling and Similitude
733
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
733

