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Using Respondent-Driven Sampling Methodology for HIV Biological and Behavioral Surveillance in International Settings: A Systematic Review
Abstract
To determine operational and analytical characteristics of respondent-driven sampling (RDS) in international settings and to explore factors that may affect recruitment of most-at-risk populations using RDS, we reviewed HIV biological and behavioral surveillance studies that used this method outside of the United States. We identified 123 eligible studies, 59 from Europe, 40 from Asia and the Pacific, 14 from Latin America, seven from Africa and three from Oceania. Studies collectively recruited 32,298 participants between 2003 and 2007; 53% of studies were conducted among injecting drug users, which generally had faster recruitment compared with studies among sex workers. All but 13 studies reached > or = 90% of their intended sample size, and six studies failed to reach equilibrium for key variables. This review has shown that RDS is an effective technique, when designed and implemented appropriately, to sample most-at-risk populations for HIV biological and behavioral surveys.
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“The most common intervention has been the respondent driven sampling (RDS) approach in which IDUs who have received a behavioral intervention are then given coupons to distribute within their social networks so these peers can then also receive the intervention [61].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [61]
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Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling
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Sorted by citations
Bonevski, B., Randell, M., Paul, C. L., Chapman, K. L., Twyman, L., Bryant, J., Brozek, I., & Hughes, C. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-42 · Cited by 1,495
“[151] Systematic review with quantitative analysis with 123 included studies from Africa, Asia, Europe, Latin America, Oceania HIV related (injecting drug users, sex workers and homosexual men) Sampling for HIV surveillance studies Respondent drive sampling All but 13 studies reached >90% of their intended sample size…”
BackgroundMethodComment: Snowball versus Respondent-Driven Sampling
Heckathorn, D. D. (2011) · Sociological Methodology · doi:10.1111/j.1467-9531.2011.01244.x · Cited by 934
“RDS has now been employed in more than 120 studies in dozens of countries (Malekinejad et al. 2008).”
Method7. Respondent-Driven Sampling: An Assessment of Current Methodology
Gile, K. J., & Handcock, M. S. (2010) · Sociological Methodology · doi:10.1111/j.1467-9531.2010.01223.x · Cited by 615
“In many RDS studies, however, the sample is known to include a large fraction of the target population (Malekinejad et al., 2008).”
BackgroundInfluentialThe structure of online diffusion networks
Goel, S., Watts, D. J., & Goldstein, D. G. (2012) · ACM Conference on Electronic Commerce (EC) · doi:10.1145/2229012.2229058 · Cited by 390
“The success of this sampling methodology, however, depends critically on the provision of substantial .nancial incentives for recruiting [Malekinejad et al. 2008].”
BackgroundMethodAssessing respondent-driven sampling
Goel, S., & Salganik, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000261107 · Cited by 387
“The remaining parameters of our simulations are modeled after common RDS study features (5).”
BackgroundMethodInfluentialSampling in software engineering research: a critical review and guidelines
Baltes, S., & Ralph, P. (2022) · Empirical Software Engineering · doi:10.1007/s10664-021-10072-8 · Cited by 536
“If respondent-driven sampling (Section 2.1.4) can reach injecting-drug users and sex workers (Malekinejad et al. 2008), surely it can help reach software developers.”
InfluentialSocial Network Analysis for Program Implementation
Valente, T. W., Palinkas, L. A., Czaja, S., Chu, K.-H., & Brown, C. H. (2015) · PLOS ONE · doi:10.1371/journal.pone.0131712 · Cited by 332
“The most common intervention has been the respondent driven sampling (RDS) approach in which IDUs who have received a behavioral intervention are then given coupons to distribute within their social networks so these peers can then also receive the intervention [61].”
BackgroundSampling Hard-to-Reach Populations with Respondent Driven Sampling
Johnston, L. G., & Sabin, K. M. (2010) · Methodological Innovations Online · doi:10.4256/mio.2010.0017 · Cited by 331
“There are currently several published reports describing different challenges to RDS assumptions in implementation and analysis and possible solutions (Salganik, 2006; Johnston et al, 2008; Johnston et al, 2010; Johnston, Sabin & Prybylski, 2010; Malekinejad et al, 2008; Gile & Hancock, 2009).”
BackgroundSelf-citationEvaluation of Respondent-driven Sampling
McCreesh, N., Frost, S. D. W., Seeley, J., Katongole, J., Tarsh, M. N., Ndunguse, R., Jichi, F., Tilston‐Lunel, N. L., Maher, D., Johnston, L. G., et al. (2011) · Epidemiology · doi:10.1097/ede.0b013e31823ac17c · Cited by 282
“The second was a ‘Small’ sample consisting of the first 250 recruits (including the 10 seeds) and was chosen to be more typical of the sample sizes used in respondent-driven sampling studies.(10)”
MethodResultInfluentialSelf-citationJohnston, L. G., Malekinejad, M., Kendall, C., Iuppa, I. M., & Rutherford, G. W. (2008) · AIDS and Behavior · doi:10.1007/s10461-008-9413-1 · Cited by 252
Self-citationWhite, R. G., Hakim, A. J., Salganik, M., Spiller, M. W., Johnston, L. G., Kerr, L. R. F. S., Kendall, C., Drake, A. J., Wilson, D. P., Orroth, K. K., et al. (2015) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2015.04.002 · Cited by 250
“…of hidden or hard-to-reach populations using the RDS methodology, primarily of individuals at risk of sexually or parenterally transmitted infections including HIV [5,13], but also on topics as diverse interpersonal violence [13] and strategies for improving cancer screening recruitment [14].”
Self-citationDiagnostics for Respondent-Driven Sampling
Gile, K. J., Johnston, L. G., & Salganik, M. (2014) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12059 · Cited by 249
“…at higher risk and the weaknesses of alternatives approaches, RDS has already been used in hundreds of HIV-related studies in dozens of countries (Malekinejad et al., 2008; Montealegre et al., 2013) and has been adopted by leading public health organizations, such as the US Centers for Disease…”
MethodSelf-citationSilva‐Santisteban, A., Raymond, H. F., Salazar, X., Villayzán, J. E. G., León, S. R., McFarland, W., & Cáceres, C. F. (2011) · AIDS and Behavior · doi:10.1007/s10461-011-0053-5 · Cited by 227
Respondent‐driven sampling as Markov chain Monte Carlo
Goel, S., & Salganik, M. (2009) · Statistics in Medicine · doi:10.1002/sim.3613 · Cited by 203
Wejnert, C. (2009) · Sociological Methodology · doi:10.1111/j.1467-9531.2009.01216.x · Cited by 196
“RDS is now used to study a wide range of hidden populations in over 30 countries (Malekinejad et al. 2008).”
Schonlau, M., & Liebau, E. (2012) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x1201200106 · Cited by 192
Survey Methods for Hard-to-Reach Populations: Introduction to the Special Issue
Marpsat, M., & Razafindratsima, N. (2010) · Methodological Innovations Online · doi:10.4256/mio.2010.0014 · Cited by 174
Wejnert, C., Pham, H., Krishna, N. K., Le, B. C., & DiNenno, E. A. (2012) · AIDS and Behavior · doi:10.1007/s10461-012-0147-8 · Cited by 133
“Respondent-driven sampling (RDS) is a peer-referral sampling and analysis method that provides a way to account for several sources of bias and calculate population estimates [4–6] now widely used to reach hidden populations including many at high risk for HIV [7].”
MethodHIV Infection among Men Who Have Sex with Men in Kampala, Uganda–A Respondent Driven Sampling Survey
Hladik, W., Barker, J. L., Ssenkusu, J. M., Opio, A., Tappero, J. W., Hakim, A. J., Serwadda, D., & for the Crane Survey Group (2012) · PLoS ONE · doi:10.1371/journal.pone.0038143 · Cited by 132
“RDSbased MSM surveys have been conducted in numerous countries [16], including in Africa.”
BackgroundKral, A. H., Malekinejad, M., Vaudrey, J., Martinez, A. N., Lorvick, J., McFarland, W., & Raymond, H. F. (2010) · Journal of Urban Health · doi:10.1007/s11524-010-9486-9 · Cited by 131
Self-citationSocial Cohesion, Social Participation, and HIV Related Risk among Female Sex Workers in Swaziland
Fonner, V. A., Kerrigan, D. L., Mnisi, Z., Ketende, S. C., Kennedy, C. E., & Baral, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087527 · Cited by 128
“There is also a lack of consensus about how to treat RDS data in multivariate regression analysis [51].”
BackgroundSubstance use among populations displaced by conflict: a literature review
Ezard, N. (2011) · Disasters · doi:10.1111/j.1467-7717.2011.01261.x · Cited by 132
Szwarcwald, C. L., Júnior, P. R. B. D. S., Damacena, G. N., Barbosa, A., & Kendall, C. (2011) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31821e9a36 · Cited by 116
“A recent review of studies conducted outside the United States between the years 2003 and 2007, reported 123 studies that used RDS, 59 in Europe, 40 in Asia and the Pacific, 14 in Latin America, 7 in Africa, and 3 in Oceania.(17) Surveillance in these groups have also been necessitated by UN General Assembly Special S…”
BackgroundSelf-citationJohnston, L. G., Whitehead, S. J., Simic‐Lawson, M., & Kendall, C. (2010) · AIDS Care · doi:10.1080/09540120903373557 · Cited by 114
Self-citationHIV prevalence and risk behaviours among men having sex with men in Nigeria
Merrigan, M. B., Azeez, A., Afolabi, B., Chabikuli, O. N., Onyekwena, O., Eluwa, G., Aiyenigba, B., Kawu, I., Ogungbemi, K., & Hamelmann, C. (2010) · Sexually Transmitted Infections · doi:10.1136/sti.2008.034991 · Cited by 112
HIV Prevalence and Risk Practices Among Men Who Have Sex With Men in Two South African Cities
Rispel, L. C., Metcalf, C. A., Cloete, A., Reddy, V., & Lombard, C. J. (2011) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e318211b40a · Cited by 107
“Participants were recruited using RDS, a method that had been used to recruit MSM in surveys in other countries, including several African countries.(13,21,22) Eligible participants were required to be 18 years or older; live, work, or socialize in Johannesburg or Durban; be biologically male (irrespective of gender i…”
MethodTownsend, L., Jewkes, R. K., Mathews, C., Johnston, L. G., Flisher, A. J., Zembe, Y., & Chopra, M. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9680-5 · Cited by 104
“A recent review of 123 studies conducted internationally concluded that RDS was an effective strategy to sample high-risk, hard to reach and socially networked populations for HIV biological and behavioural surveillance [ 31 ].”
BackgroundSelf-citationHuang, Z. J., He, N., Nehl, E. J., Zheng, T., Smith, B. D., Jin, Z., McNabb, S., & Wong, F. Y. (2012) · AIDS and Behavior · doi:10.1007/s10461-011-0119-4 · Cited by 97
The Sensitivity of Respondent-Driven Sampling
Lu, X. B., Bengtsson, L., Britton, T., Camitz, M., Kim, B. J., Thorson, A. E., & Liljeros, F. (2011) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2011.00711.x · Cited by 97
“To date, well over 100 studies in over 30 countries have been performed (Johnston et al., 2008; Malekinejad et al., 2008).”
BackgroundInfluentialJohnston, L. G., Prybylski, D., Raymond, H. F., Mirzazadeh, A., Manopaiboon, C., & McFarland, W. (2013) · Sexually Transmitted Diseases · doi:10.1097/olq.0b013e31827fd650 · Cited by 92
Self-citationTime-Space Sampling and Respondent-Driven Sampling with Hard-to-Reach Populations
Semaan, S. (2010) · Methodological Innovations Online · doi:10.4256/mio.2010.0019 · Cited by 92
“…sampling), and of respondent-driven sampling (RDS) (Semaan et al. 2002), public health researchers have gained extensive experience in using these strategies for sampling persons at risk for HIV infection who constitute a hard-to reach population (Malekinejad et al. 2008; Mackellar et al. 2007).”
BackgroundAnderson, A. M., Ross, M. W., Nyoni, J. E., & McCurdy, S. (2014) · AIDS Care · doi:10.1080/09540121.2014.951597 · Cited by 90
Case Study: An Ethics Case Study of HIV Prevention Research on Facebook: The Just/Us Study
Bull, S. S., Breslin, L. T., Wright, E. E., Black, S. R., Levine, D., & Santelli, J. S. (2011) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsq126 · Cited by 87
“…recruit ‘‘hard-to-reach’’ or ‘‘hidden’’ populations, and many researchers employing this technique have enjoyed some success in increased enrollment by hardto-reach participants (McKnight et al., 2006; Malekinejad et al., 2008; Iguchi et al., 2009; Uuskula, Johnston, Trummal, & Des Jarlais, 2010).”
MethodRising HIV Prevalence Among Married and Unmarried Among Men Who Have Sex with Men: Jinan, China
Ruan, S., Yang, H. M., Zhu, Y., Wang, M., Ma, Y., Zhao, J., McFarland, W., & Raymond, H. F. (2009) · AIDS and Behavior · doi:10.1007/s10461-009-9567-5 · Cited by 83
“While many countries around the world have implemented RDS in diverse populations (Johnston et al. 2008a; Malekinejad et al. 2008), at present, few locations have conducted multiple waves of RDS among the same population (Ma et al. 2007).”
BackgroundMethodEstimating Labor Trafficking among Unauthorized Migrant Workers in San Diego
Zhang, S. X., Spiller, M. W., Finch, B. K., & Yang, Q. (2014) · The Annals of the American Academy of Political and Social Science · doi:10.1177/0002716213519237 · Cited by 80
“Developing an hIV behavioral surveillance system for injecting drug users: The National hIV Behavioral Surveillance System.”
BackgroundMethodSexual Violence, Condom Negotiation, and Condom Use in the Context of Sex Work
Wirtz, A. L., Schwartz, S., Ketende, S. C., Anato, S., Nadedjo, F. D., Ouédraogo, H. G., Ky‐Zerbo, O., Pitché, V. P., Grosso, A., Papworth, E., et al. (2015) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000451 · Cited by 79
“A full description of traditional RDS methodology can be found elsewhere.(29) After establishing eligibility, participants underwent the informed consent process.”
MethodHatzakis, A. E., Sypsa, V., Paraskevis, D. N., Nikolopoulos, G. K., Tsiara, C. G., Micha, K., Panopoulos, A., Malliori, M., Psichοgiou, M., Pharris, A., et al. (2015) · Addiction · doi:10.1111/add.12999 · Cited by 79
Johnston, L. G., Hakim, A. J., Dittrich, S., Burnett, J. C., Kim, A. A., & White, R. G. (2016) · AIDS and Behavior · doi:10.1007/s10461-016-1346-5 · Cited by 77
“We hope to build upon other efforts to increase accuracy in conducting RDS and to encourage more thorough and standardized reporting of RDS methods and analysis [4, 22] (Table 1).”
MethodSelf-citationWirtz, A. L., Jumbe, V., Trapence, G., Kamba, D., Umar, E., Ketende, S. C., Berry, M., Strömdahl, S. K., Beyrer, C., & Baral, S. (2013) · Journal of the International AIDS Society · doi:10.7448/ias.16.4.18742 · Cited by 77
“A full description of traditional RDS methodology can be found elsewhere [20].”
MethodSalganik, M. (2011) · Epidemiology · doi:10.1097/ede.0b013e31823b6979 · Cited by 75
Li, X., Lu, H., Ma, X., Sun, Y., He, X., Li, C., Raymond, H. F., McFarland, W., Pan, S. W., Shao, Y., et al. (2012) · AIDS and Behavior · doi:10.1007/s10461-012-0161-x · Cited by 74
“RDS is a chain-referral recruitment approach for accessing and sampling hidden populations [22], it has been adopted widely for HIV prevalence and risk behavior surveillance among at-risk population [23].”
Johnston, L. G., Chen, Y., Silva‐Santisteban, A., & Raymond, H. F. (2013) · AIDS and Behavior · doi:10.1007/s10461-012-0394-8 · Cited by 73
“RDS, first introduced in the literature by Heckathorn [6–8] has since been used worldwide as an effective methodology to sample hidden and hard-to-reach populations, such as injection drug users (IDU), female sex workers (FSW) and men who have sex with men (MSM).”
MethodSelf-citationNetwork Model-Assisted Inference from Respondent-Driven Sampling Data
Gile, K. J., & Handcock, M. S. (2015) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12091 · Cited by 73
The game of contacts: Estimating the social visibility of groups
Salganik, M., Mello, M. B., Abdo, A. H., Bertoni, N., Dimitri Fazito, D., & Bastos, F. I. (2010) · Social Networks · doi:10.1016/j.socnet.2010.10.006 · Cited by 71
“(Malekinejad et al., 2008).”
Respondent driven sampling—where we are and where should we be going?: Table 1
White, R. G., Lansky, A., Goel, S., Wilson, D. P., Hladik, W., Hakim, A. J., & Frost, S. D. W. (2012) · Sexually Transmitted Infections · doi:10.1136/sextrans-2012-050703 · Cited by 71
“The RDS method of sampling is often efficient, with samples usually accruing quickly and with minimal perceived need for intervention by project staff, and has led to the collection of a wealth of data.(1) Lessons learned from the design and implementation of RDS have been shared and coalesced into standard protocols…”
BackgroundMethodInfluentialZhong, F., Lin, P., Xu, H., Wang, Y., Wang, M., He, Q., Fan, L., Li, Y., Wen, F., Liang, Y., et al. (2009) · AIDS and Behavior · doi:10.1007/s10461-009-9619-x · Cited by 70
“new sampling method, has been adopted by public health researchers as a promising alternative means to sample most-at-risk populations for biological and behavioral HIV surveys [14].”
BackgroundMethodInfluentialWejnert, C. (2009) · Social Networks · doi:10.1016/j.socnet.2009.09.002 · Cited by 66
Mouw, T., & Verdery, A. M. (2012) · Sociological Methodology · doi:10.1177/0081175012461248 · Cited by 60
Adebajo, S. B., Eluwa, G., Allman, D., Myers, T., & Ahonsi, B. (2012) · African Journal of Reproductive Health · Cited by 60
Changing trend of HIV, Syphilis and Hepatitis C among Men Who Have Sex with Men in China
Qin, Q., Tang, W., Ge, L., Li, D., Mahapatra, T., Wang, L., Guo, W., Cui, Y., & Sun, J. (2016) · Scientific Reports · doi:10.1038/srep31081 · Cited by 59
Burt, R. D., Hagan, H., Sabin, K. M., & Thiede, H. (2010) · Annals of Epidemiology · doi:10.1016/j.annepidem.2009.10.002 · Cited by 58
“RDS offers further advantages in the ease of its implementation and the standardization of its methods, advantages which have made RDS attractive in international studies with limited resources (8, 9).”
BackgroundÉchantillonnage déterminé selon les répondants pour les populations difficiles à joindre
Johnston, L. G., & Sabin, K. M. (2010) · Methodological Innovations Online · doi:10.4256/mio.2010.0017a · Cited by 58
“…disponibles, qui décrivent différents défis liés aux hypothèses du RDS en matière de mise en oeuvre et d'analyse ainsi que des solutions possibles (Salganik, 2006; Johnston et al. 2008 ; Johnston et al. 2010 ; Johnston, Sabin & Prybylski, 2010 ; Malekinejad et al. 2008 ; Gile & Hancock, 2009).”
BackgroundSelf-citationGuo, Y., Li, X., Fang, X., Lin, X., Song, Y., Jiang, S., & STANTON, B. F. (2011) · AIDS Care · doi:10.1080/09540121.2011.565029 · Cited by 57
“, age, education, and gender), members of the networks unwilling to recruit from their peers, and possible prolonged length of recruitment (Malekinejad et al., 2008).”
Carballo‐Diéguez, A., Balán, I. C., Marone, R. O., Pando, M. A., Dolezal, C. L., Barreda, V., Leu, C., & Ávila, M. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027447 · Cited by 57
“A review [6] of more than 120 RDS studies conducted worldwide found that RDS is an effective technique, when designed and implemented appropriately, to sample most-at-risk populations for human immunodeficiency virus (HIV) biological and behavioral surveys.”
HIV surveillance in MENA: recent developments and results
Božičević, I., Riedner, G., & Calleja, J. M. G. (2013) · Sexually Transmitted Infections · doi:10.1136/sextrans-2012-050849 · Cited by 57
Clark, J. L., Konda, K. A., Silva‐Santisteban, A., Peinado, J., Lama, J. R., Kusunoki, L., Perez‐Brumer, A., Pun, M., Cabello, R. L., Sebastian, J. L., et al. (2013) · AIDS and Behavior · doi:10.1007/s10461-013-0680-0 · Cited by 56
“By including these conditions, RDS analysis will ideally enroll a large enough number of participants in a sufficient number of recruitment waves to achieve equilibrium (where the enrollment of additional participants does not substantially alter the sample’s population estimates) and produce prevalence estimates repr…”
Berry, M., Wirtz, A. L., Janayeva, A., Ragoza, V., Terlikbayeva, A., Amirov, B., Baral, S., & Beyrer, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043071 · Cited by 55
“However, while the prevalence estimates used the RDS weights, the regression analyses presented in this paper do not use weights, because sampling weights do not give correct standard errors in multivariate regressions [14], and there is debate among statisticians on whether RDS weights can be used in multivariate ana…”
MethodInfluentialYoung, A. M., Rudolph, A. E., Quillen, D., & Havens, J. R. (2014) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-203935 · Cited by 55
Coetzee, J., Jewkes, R. K., & Gray, G. (2017) · PLoS ONE · doi:10.1371/journal.pone.0184775 · Cited by 56
Chopra, M., Townsend, L., Johnston, L. G., Mathews, C., Tomlinson, M., O’Bra, H., & Kendall, C. (2009) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31819907de · Cited by 53
Self-citationRao, A., Stahlman, S. L., Hargreaves, J., Weir, S. S., Edwards, J. K., Rice, B. D., Kochelani, D., Mavimbela, M., & Baral, S. (2017) · JMIR Public Health and Surveillance · doi:10.2196/publichealth.8116 · Cited by 54
“In addition, RDS captures the social network sizes of individuals, so that these can also be taken into account and adjusted for in the analyses [28,29,31,32].”
Malekinejad, M., Navadeh, S., Lotfizadeh, A., Rahimi‐Movaghar, A., Amin‐Esmaeili, M., & Noroozi, A. (2015) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2015.09.022 · Cited by 53
Self-citationthe DRUCK Study group, Wenz, B., Nielsen, S., Gassowski, M., Hövener, C., Cai, W., Roß, R. S., Bock, C. –., Ratsch, B. A., Kücherer, C., et al. (2016) · BMC Public Health · doi:10.1186/s12889-016-3545-4 · Cited by 55
“Due to their strong social networks and because PWID often buy from and inject drugs with other PWID, RDS worked well as a recruitment method in the majority of studies [34, 35].”
BackgroundResultMethods for Inference from Respondent-Driven Sampling Data
Gile, K. J., Beaudry, I. S., Handcock, M. S., & Ott, M. Q. (2018) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-031017-100704 · Cited by 53
“…implications and are instrumental in directing aid moneys aimed at addressing the global burden of diseases such as HIV/AIDS (Magnani et al. 2005, Malekinejad et al. 2008), thus creating a critical public health need for improved understanding of and performance of inferential procedures for RDS…”
BackgroundMethodInfluentialPaz‐Bailey, G., Miller, W., Shiraishi, R. W., Jacobson, J. O., Abimbola, T. O., & Chen, S. Y. (2013) · AIDS and Behavior · doi:10.1007/s10461-013-0589-7 · Cited by 51
“Reviews of available methods for surveillance in hardto-reach populations [19, 20] and more than 200 RDS studies in 36 countries [20–23] have concluded that RDS remains a promising and effective sampling method when appropriately designed and implemented.”
Kogan, S. M., Wejnert, C., Chen, Y., Brody, G. H., & Slater, L. M. (2010) · Journal of Adolescent Research · doi:10.1177/0743558410384734 · Cited by 51
“Evidence regarding the promise of RDS for supporting research with hardtoreach and hidden populations is mounting, and it has been adopted by the CDC (Centers for Disease Control and Prevention) for use in HIV surveillance activities (Malekinejad et al., 2008).”
MethodErrors in reported degrees and respondent driven sampling: Implications for bias
Mills, H. L., Johnson, S., Hickman, M., Jones, N. S., & Colijn, C. (2014) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2014.06.015 · Cited by 50
“All rights reserved. et al., 2002, 1998; Des Jarlais et al., 2007; Johnston et al., 2008; Malekinejad et al., 2008; Robinson et al., 2006).”
BackgroundBarrington, C., Wejnert, C., Guardado, M. E., Nieto, A. I., & Paz‐Bailey, G. (2011) · AIDS and Behavior · doi:10.1007/s10461-011-9959-1 · Cited by 52
“Standard RDS methodology was followed for the recruitment and data collection process [26, 27].”
Wei, C., McFarland, W., Colfax, G. N., Fuqua, V., & Raymond, H. F. (2012) · Sexually Transmitted Infections · doi:10.1136/sextrans-2012-050619 · Cited by 51
“3 RDS has become a popular method to recruit MSM around the world including countries in Africa and Asia, many of which have high levels of stigma towards MSM and where MSM venues may be very rare.(4) In the USA, RDS has notably been used to recruit minority MSM and specifically black MSM in various contexts.”
MethodEstimating the Size of Hidden Populations Using Respondent-driven Sampling Data
Johnston, L. G., McLaughlin, K. R., Rhilani, H. E., Latifi, A., Toufik, A., Bennani, A., Alami, K., Omari, B. E., & Handcock, M. S. (2015) · Epidemiology · doi:10.1097/ede.0000000000000362 · Cited by 49
Self-citationZamani, S., Radfar, R., Nematollahi, P., Fadaie, R., Meshkati, M., Mortazavi, S., Sedaghat, A., Ono‐Kihara, M., & Kihara, M. (2010) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2010.04.006 · Cited by 47
“Currently, RDS is being applied in many international settings as an effective method to recruit hard-to-reach populations that are connected through social networks (Frost et al., 2006; Johnston, Khanam, et al., 2008; Johnston et al., 2006;Malekinejad et al., 2008; Stormer et al., 2006; Yeka, Maibani-Michie, Prybylsk…”
MethodWirtz, A. L., Peryshkina, A., Mogilniy, V., Beyrer, C., & Decker, M. R. (2015) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2015.04.017 · Cited by 46
“(Malekinejad et al., 2008) This peer-based, chain recruitment method engaged seeds and enrolled participants as future recruiters.”
MethodBrignol, S., Dourado, I. C., Amorim, L. D. A. F., & Kerr, L. R. F. S. (2015) · Cadernos de Saúde Pública · doi:10.1590/0102-311x00178313 · Cited by 46
Self-citationA comparison of respondent-driven and venue-based sampling of female sex workers in Liuzhou, China
Weir, S. S., Merli, M. G., Li, J., Gandhi, A. D., Neely, W. W., Edwards, J. K., Suchindran, C., Henderson, G. E., & Chen, X. (2012) · Sexually Transmitted Infections · doi:10.1136/sextrans-2012-050638 · Cited by 46
New Evidence on the HIV Epidemic in Libya
Mirzoyan, L., Berendes, S., Jeffery, C., Thomson, J., Othman, H. B., Danon, L., Turki, A. A., Saffialden, R., & Valadez, J. J. (2013) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e318284714a · Cited by 45
Soares, C. C., Georg, I., Lampe, E., Lewis‐Ximenez, L. L., Morgado, M. G., Nicol, A. F., Pinho, A. D. A., Salles, R. C. S., Teixeira, S. L. M., Vicente, A. C. P., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102676 · Cited by 44
“RDS is a relatively recent method (empirical studies started in 2003), now conducted in studies from all five continents [24].”
MethodMcLean, K. J., Monnat, S. M., Rigg, K. K., Sterner, G., & Verdery, A. M. (2019) · Substance Use & Misuse · doi:10.1080/10826084.2018.1552303 · Cited by 44
“From July 2017 to July 2018, we recruited 125 survey respondents, which is within the range of typical studies of hidden populations (Malekinejad et al., 2008).”
BackgroundPaquette, D. M., & de Wit, J. B. F. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9743-7 · Cited by 43
“Recommendations for key data that should be reported for each RDS study were recently made [77].”
BackgroundHIV and STI behavioural surveillance among men who have sex with men in Europe
Elford, J., Jeannin, A., Spencer, B., Gervasoni, J. P., van de Laar, M. J. W., Dubois-Arber, F., & Collective the HIV and STI Behavioural Surveillance Mapping Group (2009) · Eurosurveillance · doi:10.2807/ese.14.47.19414-en · Cited by 43
Townsend, L., Ragnarsson, A., Mathews, C., Johnston, L. G., Ekström, A. M., Thorson, A. E., & Chopra, M. (2010) · Qualitative Health Research · doi:10.1177/1049732310378296 · Cited by 44
“Finally, authors of a recent review of 123 studies conducted internationally concluded that RDS is an effective strategy to sample high-risk, hard-to-reach, and socially networked populations for HIV biological and behavioral surveillance (Malekinejad et al., 2008).”
BackgroundSelf-citationZelenev, A., Long, E. F., Bazazi, A. R., Kamarulzaman, A., & Altice, F. L. (2016) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2016.08.008 · Cited by 42
Kloek, M., Bulstra, C. A., van Noord, L., Al‐Hassany, L., Cowan, F. M., & Hontelez, J. A. C. (2022) · Journal of the International AIDS Society · doi:10.1002/jia2.26022 · Cited by 42
“A study that tested for antiretroviral adherence in 183 HIV-infected MSM and transgender women in several sub-Saharan African countries found that only 34% had antiretroviral residues in their blood, and 18% of those were not virally suppressed [80].”
BackgroundGirault, P., Green, K., Clement, N. F., Rahman, Y. A. A., Adams, B., & Wambugu, S. (2015) · AIDS and Behavior · doi:10.1007/s10461-015-1069-z · Cited by 42
“In addition, the RDS method recommends a dual-incentives scheme to increase recruitment [21].”
ResultInfluentialJarlais, D. C. D., Arasteh, K., Semaan, S., & Wood, E. (2009) · Current Opinion in HIV and AIDS · doi:10.1097/coh.0b013e32832bbc6f · Cited by 42
Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science Toolbox
Khoury, R. B. (2019) · Perspectives on Politics · doi:10.1017/s1537592719003864 · Cited by 45
“A review of RDS for biological and behavioral surveillance of populations at risk for HIV counted 123 surveys as of 2007 (Malekinejad et al. 2008).”
BackgroundMontealegre, J. R., Johnston, L. G., Murrill, C., & Monterroso, E. (2013) · AIDS and Behavior · doi:10.1007/s10461-013-0466-4 · Cited by 40
“RDS has been widely used for BBSS in international settings [10, 11], with 123 studies conducted in 28 countries by 2008, including 14 studies in LAC.”
MethodSelf-citationJohnston, L. G., Saumtally, A., Corceal, S., Mahadoo, I., & Oodally, F. (2011) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2011.05.007 · Cited by 39
Self-citationValadez, J. J., Berendes, S., Jeffery, C., Thomson, J., Othman, H. B., Danon, L., Turki, A. A., Saffialden, R., & Mirzoyan, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066701 · Cited by 39
“Slow FSW recruitment has also been reported elsewhere [19,42,43].”
BackgroundMethodCorrelates of Unprotected Receptive Anal Intercourse Among Gay and Bisexual Men: Kampala, Uganda
Raymond, H. F., Kajubi, P., Kamya, M. R., Rutherford, G. W., Mandel, J. S., & McFarland, W. (2009) · AIDS and Behavior · doi:10.1007/s10461-009-9557-7 · Cited by 39
“(Heckathorn 1997; Magnani et al. 2005; Malekinejad et al. 2008).”
BackgroundMethodSelf-citationZhou, C., Raymond, H. F., Ding, X., Lu, R., Xu, J., Wu, G., Feng, L., Fan, S., Li, X., McFarland, W., et al. (2012) · Archives of Sexual Behavior · doi:10.1007/s10508-012-0008-6 · Cited by 38
“Participants Participants were recruited using Respondent-driven Sampling (RDS) a sampling method commonly used with hidden populations for HIV research worldwide (Heckathorn, 1997; Magnani, Sabin, Saidel, & Heckathorn, 2005; Malekinejad et al., 2008).”
MethodLahuerta, M., Patnaik, P., Ballo, T., Telly, N., Knox, J., Traoré, B., Doumbia, S., & Hakim, A. J. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1793-7 · Cited by 38
“Despite its potential limitations, RDS has been described as the preferred sampling method for populations without a readily available sampling frame [32].”
Sampling and Surveying Hard-to-Reach Populations for Demographic Research
Agadjanian, V., & Zotova, N. (2012) · Demographic Research · doi:10.4054/demres.2012.26.5 · Cited by 38
“…to epidemiologists or substance abuse researchers) (e.g., Heckathorn et al. 2002; Kanouse et al. 1999; MacKellar et al. 2007; Magnani et al. 2005; Malekinejad et al. 2008; Pollack et al. 2005; Wang et al. 2005), the target group of our study represents a fairly large and growing segment of the…”
BackgroundSun, Y., Lu, H., Ye, J., Li, D., & Li, G. (2023) · Scientific Reports · doi:10.1038/s41598-023-27485-8 · Cited by 36
Montealegre, J. R., Risser, J., Selwyn, B. J., McCurdy, S., & Sabin, K. M. (2012) · AIDS and Behavior · doi:10.1007/s10461-012-0306-y · Cited by 37
“and internationally for HIV behavioral research among SW, MSM, IDU, and high-risk heterosexuals [4, 5].”
BackgroundPutting Respondent-Driven Sampling on the Map: Insights from Rio de Janeiro, Brazil
Toledo, L. D. S. G., Codeço, C. T., Bertoni, N., de Albuquerque, E. M., Malta, M., & Bastos, F. I. (2011) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0b013e31821e9981 · Cited by 37
“weighted estimates aiming to compensate for the nonrandomness of the sampling process.(6) As of 2005, the Brazilian Ministry of Health (BMoH), in partnership with the Centers for Disease Control and Prevention, introduced this methodology in Brazil.”
BackgroundMen Who Have Sex with Men in Mozambique: Identifying a Hidden Population at High-risk for HIV
Nalá, R., Cummings, B., Horth, R., Inguane, C., Benedetti, M., Chissano, M., Sathane, I., Young, P. W., da Silva, D., Mirjahangir, J., et al. (2014) · AIDS and Behavior · doi:10.1007/s10461-014-0895-8 · Cited by 37
“An increasing interest in the role of HIV transmission through male-to-male sexual contact in sub-Saharan Africa (SSA) is evidenced by a growing number of research studies seeking to better understand the biological, behavioral and structural factors that affect HIV risk for men who have sex with men (MSM).”
InfluentialReliability and Validity of the Haitian Creole PHQ-9
Marc, L. G., Henderson, W. R., Desrosiers, A., Testa, M. A., Jean, S. E., & Akom, E. E. (2014) · Journal of General Internal Medicine · doi:10.1007/s11606-014-2951-5 · Cited by 38
Wirtz, A. L., Mehta, S. H., Latkin, C. A., Zelaya, C. E., Galai, N., Peryshkina, A., Mogilniy, V., Dzhigun, P., Kostetskaya, I., & Beyrer, C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155519 · Cited by 36
Huik, K., Avi, R., Pauskar, M., Kallas, E., Jõgeda, E., Karki, T., Marsh, K., Jarlais, D. D., Uusküla, A., & Lutsar, I. (2013) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2013.08.008 · Cited by 35
“A total of 345 Caucasian IDUs were recruited by using a respondent-driven sampling methodology (Malekinejad et al., 2008) in the syringe-exchange program in the capital of Estonia, Tallinn in 2011.”
MethodTransfer of sampling methods for studies on most-at-risk populations (MARPs) in Brazil
Barbosa, A., Pascom, A. R. P., Szwarcwald, C. L., Kendall, C., & McFarland, W. (2011) · Cadernos de Saúde Pública · doi:10.1590/s0102-311x2011001300005 · Cited by 35
Self-citation
Metadata
- Authors
- Malekinejad, M., Johnston, L. G., Kendall, C., Kerr, L. R. F. S., Rifkin, M. R., & Rutherford, G. W.
- Affiliations
- University of California, San Francisco (US)
- Tulane University (US)
- New Mexico State University (US)
- Corresponding author
- Malekinejad, Mohsen
- Venue
- AIDS and Behavior
- Published
- 2008-06-17
- Volume
- 12
- Issue
- S1
- Pages
- 105-130
- ISSN
- 1090-7165 (ISSN-L)
- 1573-3254
- OpenAlex
- W2123624310
- Cited by
- 433
- References
- 36
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 14 · 2022: 9 · 2021: 18 · 2020: 19 · 2019: 20 · 2018: 22 · 2017: 25 · 2016: 38 · 2015: 36 · 2014: 43 · 2013: 44 · 2012: 37
- FWCI
- 3.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- AIDS and Behavior (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- Topics
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Physical Sciences › Mathematics › Statistics and Probability › Survey Sampling and Estimation Techniques
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- respondent-driven sampling, HIV surveillance, most-at-risk populations, people who inject drugs, sex workers, recruitment, HIV behavioral surveillance
- MeSH terms
- Data Collection, Female, Humans, Male, Population Surveillance, Risk-Taking, Sampling Studies, Sexual Behavior, HIV Infections, Internationality
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