Volume 10, Number 1 (Vol 10, No 1 2014)                   irje 2014, 10(1): 81-92 | Back to browse issues page


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Shokouhi M, Mohebbi E, Rastegari A, Hajimaghsoudi S, Haghdoost A, Baneshi M. The Introduction of Network Scale-up Method: An Indirect Method to Estimate the Hard-to-Reach Populations. irje. 2014; 10 (1) :81-92
URL: http://irje.tums.ac.ir/article-1-5210-en.html

1- MS in Epidemiology, Physiology Research Center, Kerman University of Medical Sciences, Kerman, Iran
2- DVM, Regional Knowledge Hub for HIV/AIDS Surveillance, Kerman University of Medical Sciences, Kerman, Iran
3- MS in Biostatistics, Research Center for Health Services Management, Institute of Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
4- MS in Biostatistics, Medical Student Research Committee, Kerman University of Medical Sciences, Kerman, Iran
5- PhD in Epidemiology, Research Center for Modeling in Health, Institute of Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran , ahaghdoost@kmu.ac.ir
6- PhD in Biostatistics, Social Determinant of Health Research Center, Institute of Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
Abstract:   (7110 Views)

Knowing the population size of rare diseases or special subpopulations like injection drug users (IDUs) is one of the most important challenges in public health and health surveillance systems but it is difficult to estimate these groups. During the last few years, new methods have been suggested to estimate hidden or hard-to-reach populations, one of which is the network scale-up method (NSUM). The NSUM itself includes measuring the personal network size and estimating the prevalence of hidden and hard-to-count populations. In this paper, we basically discussed the indirect methods of calculating the population size, and the history of NSUM and its concepts, and then addressed the estimation of hidden populations with NSUM and the applicable notes for such populations.

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Type of Study: Review Article | Subject: General
Received: 2014/09/16 | Accepted: 2014/09/16 | Published: 2014/09/16

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