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Social Network Size Estimation and Determinants in Tehran Province Residents
BACKGROUND: Network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411904/ https://www.ncbi.nlm.nih.gov/pubmed/25927037 |
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author | SHATI, Mohsen HAGHDOOST, AliAkbar MAJDZADEH, Reza MOHAMMAD, Kazem MORTAZAVI, SeyedeSalehe |
author_facet | SHATI, Mohsen HAGHDOOST, AliAkbar MAJDZADEH, Reza MOHAMMAD, Kazem MORTAZAVI, SeyedeSalehe |
author_sort | SHATI, Mohsen |
collection | PubMed |
description | BACKGROUND: Network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province residents and its determinants. METHODS: Maximum Likelihood Estimation was applied to estimate people’s network sizes by using populations of known sizes and the scale-up method. Respondents were selected from Tehran province through convenience sampling in 2012. Out of thirteen selected subpopulations with known size, ten had minimum accuracy which used in our analysis. RESULTS: Of the 1029 respondents in this study, 46.7% were male. The social network size of Tehran Province residents was estimated to be 259.1 (CI(95%): 242.2, 276) based on the ten known populations remained in this study. This size was 291.8 in men and 230.4 in women. Younger people (18–25 years old) had larger network sizes compared to the other age groups (P<0.001). CONCLUSION: Our estimation for social network size of Tehran inhabitants was smaller than that previously estimated size for the whole country (c=380). In addition, we found that the social network of subpopulations was different. This difference means that we need local estimations for sub-populations to improve the accuracy of population size estimation using network scale up method. |
format | Online Article Text |
id | pubmed-4411904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-44119042015-04-29 Social Network Size Estimation and Determinants in Tehran Province Residents SHATI, Mohsen HAGHDOOST, AliAkbar MAJDZADEH, Reza MOHAMMAD, Kazem MORTAZAVI, SeyedeSalehe Iran J Public Health Original Article BACKGROUND: Network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province residents and its determinants. METHODS: Maximum Likelihood Estimation was applied to estimate people’s network sizes by using populations of known sizes and the scale-up method. Respondents were selected from Tehran province through convenience sampling in 2012. Out of thirteen selected subpopulations with known size, ten had minimum accuracy which used in our analysis. RESULTS: Of the 1029 respondents in this study, 46.7% were male. The social network size of Tehran Province residents was estimated to be 259.1 (CI(95%): 242.2, 276) based on the ten known populations remained in this study. This size was 291.8 in men and 230.4 in women. Younger people (18–25 years old) had larger network sizes compared to the other age groups (P<0.001). CONCLUSION: Our estimation for social network size of Tehran inhabitants was smaller than that previously estimated size for the whole country (c=380). In addition, we found that the social network of subpopulations was different. This difference means that we need local estimations for sub-populations to improve the accuracy of population size estimation using network scale up method. Tehran University of Medical Sciences 2014-08 /pmc/articles/PMC4411904/ /pubmed/25927037 Text en Copyright © Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Original Article SHATI, Mohsen HAGHDOOST, AliAkbar MAJDZADEH, Reza MOHAMMAD, Kazem MORTAZAVI, SeyedeSalehe Social Network Size Estimation and Determinants in Tehran Province Residents |
title | Social Network Size Estimation and Determinants in Tehran Province Residents |
title_full | Social Network Size Estimation and Determinants in Tehran Province Residents |
title_fullStr | Social Network Size Estimation and Determinants in Tehran Province Residents |
title_full_unstemmed | Social Network Size Estimation and Determinants in Tehran Province Residents |
title_short | Social Network Size Estimation and Determinants in Tehran Province Residents |
title_sort | social network size estimation and determinants in tehran province residents |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411904/ https://www.ncbi.nlm.nih.gov/pubmed/25927037 |
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