Incorporation of information diffusion model for enhancing analyses in HIV molecular surveillance

Kwan, Tsz Ho; Wong, Ngai Sze; Lui, Grace; Chan, Kenny Chi Wai; Tsang, Owen Tak Yin; Leung, Wai Shing; Ho, Kai Man Alexander; Lee, Man Po; Lam, Wilson; Chan, Sze Nga; Chan, David Yiu Leung; Lee, Shui Shan

doi:10.1080/22221751.2020.1718554

Cited by 12 publications

(4 citation statements)

References 25 publications

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“…The positive association between longer lags and acute HCV diagnosis confirmed with this observation. As they also served at important positions in a transmission network (20), more frequent HCV testing among this group of patients is warranted for detecting the infection early to control the spread of HCV among MSM living with HIV.…”

Section: Discussionmentioning

confidence: 99%

Hepatitis C Co-infection in People Living With HIV—Epidemiologic Differences Between Men Who Have Sex With Men MSM and Non-MSM

Kwan

Wong²,

Wong³

et al. 2022

Front. Public Health

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People living with human immunodeficiency virus (PLHIV) constitute a unique group at higher risk of hepatitis C virus (HCV) co-infection. In light of the diverse profiles of PLHIV, we differentiated between men who have sex with men (MSM) and non-MSM in the characterization of the epidemiologic features of HIV/HCV co-infection. Clinical data of HCV co-infection patients from the HIV specialist clinic in Hong Kong were retrospectively collected in conjunction with their HIV subtypes and HCV genotypes. Logistic regression models were used to identify factors associated with HIV/HCV co-infection in MSM. Survival analysis was performed to compare the time lag between HIV and HCV diagnoses between two groups. Latent class analysis was conducted to describe the features of different classes of co-infections. Four classes of HIV/HCV co-infections were identified: local MSM acquiring HCV after HIV diagnosis, local MSM with HIV/HCV co-diagnoses, local non-MSM, and non-local non-MSM. Accounting for over half of the co-infections, MSM were more likely to be younger, local residents, and associated with HCV genotype 3, compared to genotypes 1 and 6 in non-MSM. Overall, MSM had higher odds of achieving HIV viral suppression and co-diagnosing with a sexually transmitted infection at HCV diagnosis, and having a longer time lag between HIV and HCV diagnoses. Drug injection accounted for a majority of non-MSM HCV infection. There were distinctive epidemiologic differences between MSM and non-MSM co-infected with HIV and HCV, the characteristics of which could inform intervention strategies for achieving HCV micro-elimination.

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Section: Discussionmentioning

confidence: 99%

Hepatitis C Co-infection in People Living With HIV—Epidemiologic Differences Between Men Who Have Sex With Men MSM and Non-MSM

Kwan

Wong²,

Wong³

et al. 2022

Front. Public Health

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“…This was a prospective parallel-group open-label randomized controlled study. The study was conducted in Hong Kong, where MSM accounted for a majority of new HIV infections in the past decade [ 17 ]. Through a social network approach, enrolled eligible participants were men who ever had sex with other men, who were aged 18 years or above, and who were either referred by another participant in the study or recruited by the research team as seeds.…”

Section: Methodsmentioning

confidence: 99%

User Experience and Usability of Neumorphism and Gamification User Interface Designs in an HIV Self-Test Referral Program for Men Who Have Sex With Men: Prospective Open-Label Parallel-Group Randomized Controlled Trial

Kwan¹,

Chan²,

Lee³

2022

JMIR Serious Games

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Background Digital interventions have been applied for promoting HIV prevention and care among men who have sex with men (MSM). As user interface (UI) design plays a role in determining usability and user experience (UX), the intervention outcome could be affected. Objective In this study, we hypothesized that 2 UI design styles, namely gamification and neumorphism, could impact usability and be differentially preferred by distinct groups of MSM. Methods A prospective parallel-group open-label randomized controlled trial was conducted in Hong Kong. Eligible participants were adult MSM recruited by the research team or referred by enrolled participants, who followed instructions for performing an HIV self-test and promoted its use within their social network. Participants were randomized in a 1:1 ratio into either a gamification or neumorphism arm, with primarily visual differences in the UI only. The primary outcome was usability measured by the System Usability Scale (SUS) between the 2 arms. Distinct characteristics of promoters in the 2 arms who gave an SUS score of 80 or above were identified. Results Of 463 MSM registered in the study, 232 and 231 were randomized to the gamification and neumorphism arms, respectively. Excluding those who did not request a self-test kit, data from 218 and 216 participants in the gamification and neumorphism arms, respectively, were analyzed (totally 434 participants). With a median SUS score of 80 overall, participants in the neumorphism arm gave a higher score (P<.001), with a higher proportion giving a promoter-level SUS score (P=.002). Promoters used social media for sex networking (P=.02), used pre-exposure prophylaxis in the preceding year (P=.006), had higher satisfaction in UI design (P<.001), and had made a self-test referral (P=.04). In general, higher usability was recorded among participants who were confident in performing the HIV self-test (P<.001), and this was associated with a promoter-level SUS score in both arms. While no other personal characteristics were associated with promoters in the neumorphism arm, those in the gamification arm had higher HIV-related knowledge (P=.01), preferred a specific partner body image type (P=.03), and progressed toward peer referral by completing online training (P=.04). Conclusions Both gamified and neumorphic UI designs were well-accepted by MSM. UX and satisfaction of UI were both crucial in influencing the willingness of MSM to promote the application by referring their peers in the community to participate. The simplistic visual design of neumorphism conferred a more general acceptance in the community, whereas gamification was preferred in certain MSM subcommunities. Appropriate UI/UX design should be considered when developing digital interventions targeting the MSM community. Trial Registration ClinicalTrials.gov NCT04379206; https://clinicaltrials.gov/ct2/show/NCT04379206

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“…Zhan et al in [9] analyzed the process of virus propagation both in real world and on the Internet, then constructed a nonlinear model based on the SIS model to explore the coupling effect. Kwan et al integrated newly diagnosed HIV patients' phylogenetic, clinical and behavioral data, and incorporated an information diffusion model to analyze transmission dynamics [10].…”

Section: Related Workmentioning

confidence: 99%

Predicting User Retweeting Behavior in Social Networks With a Novel Ensemble Learning Approach

Chen

Deng

2020

IEEE Access

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Information sharing through online social networks has become a main mechanism by which people share information with their friends through retweeting behaviors, which may result in a variety of information diffusion cascades on social media such as Facebook, Twitter, and Weibo. Predicting user retweeting behavior in those social networks is extremely challenging. To complete the prediction task, identifying factors that affect retweeting behavior and constructing efficient model are necessary. In this paper, we study heterogeneous relation networks by considering various social interactions, which reflect how a particular retweeting action is affected by the social behaviors performed by the sender and the receiver of the retweet. We then generate various features from our identified factors belonging to three dimensionscontent semantics, user diffusion behavior, and network structure. Moreover, we cast our prediction problem as an ensemble learning problem and propose a novel ensemble learning approach to solve the problem. Combing the generated features and the novel ensemble learning approach, we then propose a model named Retweeting Behavior on Multiple Heterogeneous Diffusion Relation Networks (RBMHDRN) to predict user retweeting behavior in social networks. Experiments on a real dataset extracted from a social network site Weibo demonstrate the effectiveness of our proposed model, indicating that our generated features and proposed approach can significantly improve the performance of predicting user retweeting behavior occurring in the process of information diffusion in social networks.

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Incorporation of information diffusion model for enhancing analyses in HIV molecular surveillance

Cited by 12 publications

References 25 publications

Hepatitis C Co-infection in People Living With HIV—Epidemiologic Differences Between Men Who Have Sex With Men MSM and Non-MSM

Hepatitis C Co-infection in People Living With HIV—Epidemiologic Differences Between Men Who Have Sex With Men MSM and Non-MSM

User Experience and Usability of Neumorphism and Gamification User Interface Designs in an HIV Self-Test Referral Program for Men Who Have Sex With Men: Prospective Open-Label Parallel-Group Randomized Controlled Trial

Predicting User Retweeting Behavior in Social Networks With a Novel Ensemble Learning Approach

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