BACKGROUND AND OBJECTIVE: Hard to reach populations such as injecting drug users (IDU) is one, among the most at risk, for HIV infection in Thailand. This study examined an indirect methodfor estimating the size of IDU population in Thailand. MATERIAL AND METHOD: A household survey was conducted among 3,790 individuals who were 12-65 years old, stayed at least 3 months in the sample households. Through, reference groups and summation procedure, personal network size was estimated. The participants were asked to identify the number of their acquaintances whom they perceived to be IDU. Using the survey results with the network scale-up method, the IDU population size was estimated. RESULTS: The personal network size was estimated to be 71,000 ID Us. The estimated prevalence of total population in Thailand was 110 IDUs in 100,000 population. CONCLUSION: Estimating population sizes through the network scale-up method appeared to be an effective method in terms of time, simplicity, and low cost as compared with more-conventional methods.
BACKGROUND AND OBJECTIVE: Hard to reach populations such as injecting drug users (IDU) is one, among the most at risk, for HIV infection in Thailand. This study examined an indirect methodfor estimating the size of IDU population in Thailand. MATERIAL AND METHOD: A household survey was conducted among 3,790 individuals who were 12-65 years old, stayed at least 3 months in the sample households. Through, reference groups and summation procedure, personal network size was estimated. The participants were asked to identify the number of their acquaintances whom they perceived to be IDU. Using the survey results with the network scale-up method, the IDU population size was estimated. RESULTS: The personal network size was estimated to be 71,000 ID Us. The estimated prevalence of total population in Thailand was 110 IDUs in 100,000 population. CONCLUSION: Estimating population sizes through the network scale-up method appeared to be an effective method in terms of time, simplicity, and low cost as compared with more-conventional methods.
Authors: Myrtille Prouté; Sophie Le Coeur; Métrey H Tiv; Timothée Dub; Parinya Jongpaijitsakul; Anantika Ratnamhin; Chaisiri Angkurawaranon; Apinun Aramrattana; Marc Lallemant Journal: BMC Public Health Date: 2020-09-24 Impact factor: 3.295