An indirect estimation of the population size of students with high-risk behaviors in select universities of medical sciences: A network scale-up study
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In: PLoS ONE, Vol. 13, No. 5, 08.05.2018, p. e0195364.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - An indirect estimation of the population size of students with high-risk behaviors in select universities of medical sciences: A network scale-up study
AU - Sajjadi, Homeira
AU - Jorjoran Shushtari, Zahra
AU - Shati, Mohsen
AU - Salimi, Yahya
AU - Dejman, Masoomeh
AU - Vameghi, Meroe
AU - Karimi, Salahedin
AU - Mahmoodi, Zohreh
PY - 2018/5/8
Y1 - 2018/5/8
N2 - Network scale-up is one of the most important indirect methods of estimating the size of clandestine populations and people with high-risk behaviors. The present study is an indirect estimation of the population size of students with high-risk behaviors in select universities of medical sciences.
AB - Network scale-up is one of the most important indirect methods of estimating the size of clandestine populations and people with high-risk behaviors. The present study is an indirect estimation of the population size of students with high-risk behaviors in select universities of medical sciences.
U2 - 10.1371/journal.pone.0195364
DO - 10.1371/journal.pone.0195364
M3 - Article
VL - 13
SP - e0195364
JO - PLoS ONE
JF - PLoS ONE
SN - 1932-6203
IS - 5
ER -