Related Experiment Video
Updated: Jul 26, 2025

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
[Identifying population needs: methods of analysis and stratification]
Jessica Longhini1, Elisabetta Mezzalira1, Luisa Saiani1
1Dipartimento di Diagnostica e Sanità Pubblica, Università di Verona.
Abstract:
. Identifying population needs: methods of analysis and stratification. In this article, examples of population stratification models used at the national level to identify different levels of needs and interventions are reported. Most models are based primarily on health data, diseases, clinical complexity, use of health services, hospitalizations, emergency room access, pharmaceutical prescriptions, and exemption codes. The limitations of these models relate to the availability and integration of data, as well as generalizability in different contexts. Moreover, to address the difficulty of implementing effective local interventions, the co-production or integration of social and health services is strongly suggested. Some survey techniques are presented to detect the needs, expectations, and resources of specific communities or populations.
More Related Videos
08:03Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
12:27Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
Published on: February 15, 2017
Related Concept Videos
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Analysis of Population Pharmacokinetic Data
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Systematic Sampling Method
Systematic sampling is one of the simplest methods...