Mansor J, Safian N, Razak F, Ismail H, Ghazali M, Ismail N
PeerJ. 2024; 12:e18571.
PMID: 39619183
PMC: 11608564.
DOI: 10.7717/peerj.18571.
Hu S, Jing F, Fan C, Dai Y, Xie Y, Zhou Y
J Int AIDS Soc. 2024; 27(7):e26342.
PMID: 39048927
PMC: 11269052.
DOI: 10.1002/jia2.26342.
Ostermann J, Njau B, van Zwetselaar M, Yamanis T, McClimans L, Mwangi R
JMIR Res Protoc. 2024; 13:e55068.
PMID: 38814692
PMC: 11176874.
DOI: 10.2196/55068.
Terefe B
Front Reprod Health. 2024; 6:1305671.
PMID: 38384397
PMC: 10879555.
DOI: 10.3389/frph.2024.1305671.
Hu S, Jing F, Fan C, Dai Y, Xie Y, Zhou Y
medRxiv. 2023; .
PMID: 37986939
PMC: 10659482.
DOI: 10.1101/2023.11.05.23298135.
HIV testing among women of reproductive age in 28 sub-Saharan African countries: a multilevel modelling.
Zegeye B, Adjei N, Ahinkorah B, Tesema G, Ameyaw E, Budu E
Int Health. 2023; 15(5):573-584.
PMID: 37099414
PMC: 10472880.
DOI: 10.1093/inthealth/ihad031.
On limitations of uniplex networks for modeling multiplex contagion.
Landry N, Adams J
PLoS One. 2023; 18(1):e0279345.
PMID: 36662810
PMC: 9858459.
DOI: 10.1371/journal.pone.0279345.
Early Detection and Control of the Next Epidemic Wave Using Health Communications: Development of an Artificial Intelligence-Based Tool and Its Validation on COVID-19 Data from the US.
Lazebnik T, Bunimovich-Mendrazitsky S, Ashkenazi S, Levner E, Benis A
Int J Environ Res Public Health. 2022; 19(23).
PMID: 36498096
PMC: 9740968.
DOI: 10.3390/ijerph192316023.
Deep learning and social network analysis elucidate drivers of HIV transmission in a high-incidence cohort of people who inject drugs.
Clipman S, Mehta S, Mohapatra S, Srikrishnan A, Zook K, Duggal P
Sci Adv. 2022; 8(42):eabf0158.
PMID: 36260674
PMC: 9581475.
DOI: 10.1126/sciadv.abf0158.
Individual and community-level determinates of risky sexual behaviors among sexually active unmarried men: A multilevel analysis of 2016 Ethiopian Demographic and Health Survey.
Diress G, Adane S, Linger M, Merchaw A, Mengist B
PLoS One. 2022; 17(7):e0270083.
PMID: 35862425
PMC: 9302804.
DOI: 10.1371/journal.pone.0270083.
Extent and implications of omitted ties on network measures in a longitudinal social network survey of people who use drugs.
Upton E, Rudolph A, Ward P, Havens J, Young A
Drug Alcohol Depend. 2022; 238:109554.
PMID: 35850026
PMC: 9514791.
DOI: 10.1016/j.drugalcdep.2022.109554.
Leveraging Dynamic Heterogeneous Networks to Study Transnational Issue Publics. The Case of the European COVID-19 Discourse on Twitter.
Schunemann W, Brand A, Konig T, Ziegler J
Front Sociol. 2022; 7:884640.
PMID: 35846866
PMC: 9280175.
DOI: 10.3389/fsoc.2022.884640.
Social Network Analysis on the Mobility of Three Vulnerable Population Subgroups: Domestic Workers, Flight Crews, and Sailors during the COVID-19 Pandemic in Hong Kong.
Yu W, Alipio C, Wan J, Mane H, Nguyen Q
Int J Environ Res Public Health. 2022; 19(13).
PMID: 35805223
PMC: 9265614.
DOI: 10.3390/ijerph19137565.
Analytic Advances in Social Networks and Health in the Twenty-First Century.
Chapman A, Verdery A, Moody J
J Health Soc Behav. 2022; 63(2):191-209.
PMID: 35392693
PMC: 9149133.
DOI: 10.1177/00221465221086532.
JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook.
Kuchler T, Russel D, Stroebel J
J Urban Econ. 2022; 127:103314.
PMID: 35250112
PMC: 8886493.
DOI: 10.1016/j.jue.2020.103314.
Privacy and Confidentiality Considerations for Collecting HIV Risk Network Data among Men who Have Sex with Men and Implications for Constructing Valid Risk Networks.
Rudolph A, Young A
Soc Networks. 2021; 67:47-54.
PMID: 34712004
PMC: 8547314.
DOI: 10.1016/j.socnet.2019.09.002.
The First 40 Years of AIDS: Promising Programs, Limited Success.
Darrow W
AIDS Behav. 2021; 25(11):3449-3471.
PMID: 34698954
PMC: 8546755.
DOI: 10.1007/s10461-021-03497-1.
Daily Social Life of Older Adults and Vulnerabilities During the COVID-19 Pandemic.
Chen J
Front Public Health. 2021; 9:637008.
PMID: 34485210
PMC: 8416036.
DOI: 10.3389/fpubh.2021.637008.
Role of direct and indirect social and spatial ties in the diffusion of HIV and HCV among people who inject drugs: a cross-sectional community-based network analysis in New Delhi, India.
Clipman S, Mehta S, Srikrishnan A, Zook K, Duggal P, Mohapatra S
Elife. 2021; 10.
PMID: 34342266
PMC: 8370773.
DOI: 10.7554/eLife.69174.
General regression methods for respondent-driven sampling data.
Yauck M, Moodie E, Apelian H, Fourmigue A, Grace D, Hart T
Stat Methods Med Res. 2021; 30(9):2105-2118.
PMID: 34319832
PMC: 8424528.
DOI: 10.1177/09622802211032713.