Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Ovalle, Anaelia; Goldstein, Orpaz; Kachuee, Mohammad; Wu, Elizabeth; Hong, Chenglin; Holloway, Ian W.; Sarrafzadeh, Majid

doi:10.2196/22042

Cited by 18 publications

(17 citation statements)

References 32 publications

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“…Virtual services such as eHealth, telehealth, and technology-based intervention may mitigate the negative impacts of the COVID-19 pandemic on PrEP-related services[ 71 , 72 ]. In addition, recent literature also suggests utilizing data science approaches to predict HIV risk behaviors and deliver individualized messages and interventions[ 73 , 74 ]. Such novel approach may have the potential to maintain comprehensive HIV and PrEP prevention service delivery and address potential COVID-19 related service interruptions.…”

Section: Discussionmentioning

confidence: 99%

Characterizing the Impact of the COVID-19 Pandemic on HIV PrEP care: A Review and Synthesis of the Literature

Hong¹

2022

AIDS Behav

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The global COVID-19 pandemic and associated lockdown measures have caused disruptions to sexual health services and created additional barriers to the continuity of HIV pre-exposure prophylaxis (PrEP) among key populations. This review provides an examination of the influences of the pandemic on engagement in the PrEP care continuum. Using the PRISMA guideline, 46 studies were included in this review and the synthesis. Most of the studies were conducted in high-income settings through quantitative analysis. A majority of studies examining the changes in PrEP use suggested a decline or discontinuation in PrEP uptake during the pandemic. The most common reasons for stopping using PrEP were perceived barriers to PrEP-related care, having reduced sexual behaviors and fewer sexual partners, and reduced perceived risk of HIV infection. Limited studies documenting an increase in PrEP uptake were all in specific PrEP optimizing programs. During the pandemic, there is also an emerging trend of switching to on-demand PrEP from daily oral PrEP. Future studies should understand the mechanism of strategies that facilitated the improvements during the pandemic. PrEP implementation programs should consider alternative PrEP modalities and provide consistent and comprehensive knowledge about correct information.

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Section: Discussionmentioning

confidence: 99%

Characterizing the Impact of the COVID-19 Pandemic on HIV PrEP care: A Review and Synthesis of the Literature

Hong¹

2022

AIDS Behav

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“…During pandemic times, face-to-face classes may be prohibited or discouraged. Thus, social media is a relatively low-cost, direct, and flexible approach for nutrition educators to reach and motivate target populations [ 28 , 29 ]. The study participants were interested in nutrition education and used social media as a resource to meet their specific nutritional needs.…”

Section: Discussionmentioning

confidence: 99%

Perceived Effects of Socio-Economics and Social Media Variables on Body Mass Index in Saudi Young Adults

Tami¹

2022

Cureus

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This study aimed to measure the extent to which Saudi young adults used social media as a source for nutrition information and assess the perception of those networks on their dietary behaviors. The study also investigated the association between participants' socio-economic variables, social media variables, and body mass index. A cross-sectional survey was used and distributed via social media. This study included 228 participants (20-24 years old) who lived in AL-Ahssa Province. Over 50% of the participants were single females with bachelor's degrees. Among the participants, 70% were interested in increasing their nutrition knowledge, and 95% agreed that they obtained their nutrition information through social media. The participants surfed social media for at least one hour per day. Over 70% responded that exposure to social media had influenced their dietary behaviors (adopting new positive dietary behaviors, including selecting healthy foods and reading nutrition labels). Instagram was the most used application of all social media networks, with over 50% of the participants following 2-4 Instagram accounts related to nutrition. A majority of participants (78%) preferred obtaining nutrition information through visual methods, such as videos (49.1%) and infographic images (28.9%). Challenges to using nutrition information on social media were unproven or misleading topics and provided by non-nutrition experts. Social media may therefore be an effective tool to increase nutrition awareness and assist in disseminating nutrition intervention programs by nutrition educators and experts.

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“…Similarly, the research performed by [5] explored the use of textual mining of social media messages and visualization to identify health risk behaviors about HIV/AIDS.…”

Section: A Social Media Machine Learning and Textual Data Miningmentioning

confidence: 99%

Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets

et al. 2023

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There are millions of People Living with HIV/AIDS (PLWHA) globally and over the years, addressing their concerns has been topical for many stakeholders. It is a well-known and established fact that PLWHA are at increased risk of victimization and stigmatization. Unfortunately, the world experienced an outbreak of the COVID-19 pandemic that has led to strict social measures in many states. Thus, it is the goal of this research to study the impact that the outbreak and its mitigation measures have had on the PLWHA. Specifically, we sought to highlight their concerns from sentiments expressed on social media based on posted tweets. By combining machine learning (ML) techniques such as textual mining and thematic analysis, we determined 14 major themes as factors that are worth exploring. In this work, we originally extracted 2,839,091 tweets related to HIV/AIDS posted from March 2020 to April 2022. After initially doing data cleaning and preprocessing, we performed topic modeling using the Latent Dirichlet Allocation (LDA) topic model to extract 25 topics that are made up of 30 keywords each. The topics were then narrowed into 14 themes. The paper details the negative, positive, and neutral sentiment polarities which we highlight as concerning. These sentiments were determined using the Valence Aware Dictionary and sEntiment Reasoner (VADER) Sentiment Analysis Library with a 90% F1-score compared to TextBlob which showed a 53% F1score. The research findings highlight issues affecting PLWHA during and post-pandemic such as high cost of medical care, late diagnosis of HIV, limited access to medications, stigmatization and victimization, absence of testing kits in hospitals, and lack of urgency in the development of vaccines or cure for HIV.

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Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study

Cited by 18 publications

References 32 publications

Characterizing the Impact of the COVID-19 Pandemic on HIV PrEP care: A Review and Synthesis of the Literature

Characterizing the Impact of the COVID-19 Pandemic on HIV PrEP care: A Review and Synthesis of the Literature

Perceived Effects of Socio-Economics and Social Media Variables on Body Mass Index in Saudi Young Adults

Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets

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