1
Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
2
HIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran; Institute for Global Health Sciences, University of California, San Francisco, San Francisco, CA, USA
3
Center for Longitudinal and Life Course Research, School of Public Health, The University of Queensland, Herston, Queensland, Australia
Bernard HR, Hallett T, Iovita A, Johnsen EC, Lyerla R, McCarty C, et al. Counting hard-to-count populations: the network scale-up method for public health. Sex Transm Infect. 2010;86(Suppl 2):ii11-5. doi: 1136/sti.2010.044446.
Xu C, Jing F, Lu Y, Ni Y, Tucker J, Wu D, et al. Summarizing methods for estimating population size for key populations: a global scoping review for human immunodeficiency virus research. AIDS Res Ther. 2022;19(1):9. doi: 1186/s12981-022-00434-7.
Johnston LG, McLaughlin KR, El Rhilani H, Latifi A, Toufik A, Bennani A, et al. Estimating the size of hidden populations using respondent-driven sampling data: case examples from Morocco. Epidemiology. 2015;26(6):846-52. doi: 1097/ede.0000000000000362.
Ewemooje OS, Adebola FB, Amahia GN. Alternative estimator in dichotomous randomized response technique. Commun Math Stat. 2019;7(4):383-400. doi: 1007/s40304-018-0145-x.
Zhao Y. Estimating the size of an injecting drug user population. World J AIDS. 2011;1(3):88-93.
Abdul-Quader AS, Baughman AL, Hladik W. Estimating the size of key populations: current status and future possibilities. Curr Opin HIV AIDS. 2014;9(2):107-14. doi: 1097/coh.0000000000000041.
Crawford FW, Wu J, Heimer R. Hidden population size estimation from respondent-driven sampling: a network approach. J Am Stat Assoc. 2018;113(522):755-66. doi: 1080/01621459.2017.1285775.
Feehan DM, Salganik MJ. Generalizing the network scale-up method: a new estimator for the size of hidden populations. Sociol Methodol. 2016;46(1):153-86. doi: 1177/0081175016665425.
Nikfarjam A, Shokoohi M, Shahesmaeili A, Haghdoost AA, Baneshi MR, Haji-Maghsoudi S, et al. National population size estimation of illicit drug users through the network scale-up method in 2013 in Iran. Int J Drug Policy. 2016;31:147-52. doi: 1016/j.drugpo.2016.01.013.
Rastegari A, Baneshi MR, Hajebi A, Noroozi A, Karamouzian M, Shokoohi M, et al. Population size estimation of people who use illicit drugs and alcohol in Iran (2015-2016). Int J Health Policy Manag. 2023;12:6578. doi: 34172/ijhpm.2022.6578.
Shokoohi M, Baneshi MR, Haghdoost AA. Size estimation of groups at high risk of HIV/AIDS using network scale up in Kerman, Iran. Int J Prev Med. 2012;3(7):471-6.
Sheikhzadeh K, Baneshi MR, Afshari M, Haghdoost AA. Comparing direct, network scale-up, and proxy respondent methods in estimating risky behaviors among collegians. J Subst Use. 2016;21(1):9-13. doi: 3109/14659891.2014.942401.
Jafari-Khounigh A, Haghdoost AA, Salari Lak S, Zeinalzadeh AH, Yousefi-Farkhad R, Mohammadzadeh M, et al. Size estimation of most-at-risk groups of HIV/AIDS using network scale-up in Tabriz, Iran. J Clin Res Gov. 2014;3(1):21-6. doi: 13183/jcrg.v3i1.80.
Nikfarjam A, Hajimaghsoudi S, Rastegari A, Haghdoost AA, Nasehi AA, Memaryan N, et al. The frequency of alcohol use in Iranian urban population: the results of a national network scale up survey. Int J Health Policy Manag. 2017;6(2):97-102. doi: 15171/ijhpm.2016.103.
Kazemzadeh Y, Shokoohi M, Baneshi MR, Haghdoost AA. The frequency of high-risk behaviors among Iranian college students using indirect methods: network scale-up and crosswise model. Int J High Risk Behav Addict. 2016;5(3):e25130. doi: 5812/ijhrba.25130.
Sharifi H, Karamouzian M, Baneshi MR, Shokoohi M, Haghdoost AA, McFarland W, et al. Population size estimation of female sex workers in Iran: synthesis of methods and results. PLoS One. 2017;12(8):e0182755. doi: 1371/journal.pone.0182755.
Rastegari A, Baneshi MR, Haji-Maghsoudi S, Nakhaee N, Eslami M, Malekafzali H, et al. Estimating the annual incidence of abortions in Iran applying a network scale-up approach. Iran Red Crescent Med J. 2014;16(10):e15765. doi: 5812/ircmj.15765.
Zamanian M, Zolala F, Haghdoost AA, Baneshi MR. Estimating the annual abortion rate in Kerman, Iran: comparison of direct, network scale-up, and single sample count methods. Int J Fertil Steril. 2019;13(3):209-14. doi: 22074/ijfs.2019.5721.
Moradinazar M, Najafi F, Baneshi MR, Haghdoost AA. Size estimation of under-reported suicides and suicide attempts using network scale up method. Bull Emerg Trauma. 2019;7(2):99-104. doi: 29252/beat-070202.
Haghdoost, A. A., Sharifi, H. & Baneshi, M. R. (2025). Population Size Estimation of Hidden Groups: Things We Have Learned from Iran’s Experiences. Health and Development Journal, 14(1), 1–2. https://doi.org/10.34172/jhad.1200
MLA
Haghdoost, A. A., Sharifi, H., & Baneshi, M. R. "Population Size Estimation of Hidden Groups: Things We Have Learned from Iran’s Experiences", Health and Development Journal, 14, 1, 2025, 1–2. doi: 10.34172/jhad.1200
HARVARD
Haghdoost, A. A., Sharifi, H., & Baneshi, M. R. (2025). 'Population Size Estimation of Hidden Groups: Things We Have Learned from Iran’s Experiences', Health and Development Journal, 14(1), pp. 1–2. doi: 10.34172/jhad.1200
CHICAGO
Haghdoost, A. A., Sharifi, H. & Baneshi, M. R., "Population Size Estimation of Hidden Groups: Things We Have Learned from Iran’s Experiences." Health and Development Journal, 14 1 (2025): 1–2, doi: 10.34172/jhad.1200
VANCOUVER
Haghdoost A. A., Sharifi H., Baneshi M. R. Population Size Estimation of Hidden Groups: Things We Have Learned from Iran’s Experiences. Health and Development Journal. 2025;14(1):1–2. doi: 10.34172/jhad.1200