Literature DB >> 12293871

The estimation of population microdata by using data from small area statistics and samples of anonymised records.

P Williamson, M Birkin, P H Rees.   

Abstract

"Traditionally, estimates of the number of people in small areas (the smallest geographical units for which data are available) have been disaggregated only by age and sex. More recently, much research effort has been directed towards developing some form of enhanced small-area population estimation, in which the population in a small area is disaggregated not only by age and sex, but also by a wide range of additional economic and social characteristics. Solutions to this problem currently include account-based demographic models, often used by local authorities." excerpt

Entities:  

Keywords:  Age Factors; Area Analysis; Data Collection; Demographic Accounting; Demographic Analysis; Demographic Factors; Economic Factors; Estimation Technics; Population; Population Characteristics; Population Growth Estimation; Research Methodology; Sex Factors; Socioeconomic Factors; World

Mesh:

Year:  1998        PMID: 12293871     DOI: 10.1068/a300785

Source DB:  PubMed          Journal:  Environ Plan A        ISSN: 0308-518X


  5 in total

1.  Community-wide health risk assessment using geographically resolved demographic data: a synthetic population approach.

Authors:  Jonathan I Levy; Maria Patricia Fabian; Junenette L Peters
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

2.  SimAlba: A Spatial Microsimulation Approach to the Analysis of Health Inequalities.

Authors:  Malcolm Campbell; Dimitris Ballas
Journal:  Front Public Health       Date:  2016-10-21

3.  COMOKIT: A Modeling Kit to Understand, Analyze, and Compare the Impacts of Mitigation Policies Against the COVID-19 Epidemic at the Scale of a City.

Authors:  Benoit Gaudou; Nghi Quang Huynh; Damien Philippon; Arthur Brugière; Kevin Chapuis; Patrick Taillandier; Pierre Larmande; Alexis Drogoul
Journal:  Front Public Health       Date:  2020-09-24

4.  An iterative approach for generating statistically realistic populations of households.

Authors:  Floriana Gargiulo; Sônia Ternes; Sylvie Huet; Guillaume Deffuant
Journal:  PLoS One       Date:  2010-01-22       Impact factor: 3.240

5.  Generating a dynamic synthetic population--using an age-structured two-sex model for household dynamics.

Authors:  M Namazi-Rad; Mohammad-Reza Namazi-Rad; P Mokhtarian; Payam Mokhtarian; P Perez; Pascal Perez
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.