Model-based Respondent-driven sampling analysis for HIV prevalence in brazilian MSM
نویسندگان
چکیده
منابع مشابه
Diagnostics for Respondent-driven Sampling.
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially populations at higher risk for HIV. Data are collected through peer-referral over social networks. RDS has proven practical for data collection in many difficult settings and is widely used. Inference from RDS data requires many strong assumptions because the sampling design is...
متن کاملhiv, hsv2 and syphilis prevalence in female sex workers in kerman, south-east iran; using respondent-driven sampling.
we estimated the prevalence of hiv, sexually transmitted infections (stis), and risky behaviors among female sex workers (fsw) in kerman city, iran.women, 18 years or older, who reported selling sex for at least 6 months during their lifetime and had at least one sexual contact with a client in the recent 12 months were sampled using responding driven sampling (rds). participants were interview...
متن کاملRespondent Driven Sampling
Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sa...
متن کاملAssessing respondent-driven sampling.
Respondent-driven sampling (RDS) is a network-based technique for estimating traits in hard-to-reach populations, for example, the prevalence of HIV among drug injectors. In recent years RDS has been used in more than 120 studies in more than 20 countries and by leading public health organizations, including the Centers for Disease Control and Prevention in the United States. Despite the widesp...
متن کاملRespondent-Driven Sampling in Online Social Networks
Abstract. Respondent-driven sampling (RDS) is a commonly used method for acquiring data on hidden communities, i.e., those that lack unbiased sampling frames or face social stigmas that make their members unwilling to identify themselves. Obtaining accurate statistical data about such communities is important because, for instance, they often have different health burdens from the greater popul...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2020
ISSN: 2045-2322
DOI: 10.1038/s41598-020-59567-2