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Sponsor: Massachusetts General Hospital
Conditions: HIV Prevention, HIV Preexposure Prophylaxis
Countries: Kenya
The impact of effective HIV prevention tools is limited because many people do not know that they are at risk for HIV acquisition, despite the availability of various risk assessment scores and criteria. This proposal aims to use a novel data science approach to assessing HIV prevention needs among 400 young women in Kisumu, Kenya- namely, topic modeling and network analysis of text and/or social media messages (e.g., WhatsApp, Instagram, Twitter). The study will involve in-depth assessment of relevant ethical and logistical factors to ensure appropriate and optimized use of a sentiment analysis tool for implementation in routine clinical care.
Sex: FEMALE
Age: 18 Years to 24 Years
Healthy volunteers: Yes
Study type: OBSERVATIONAL
Inclusion Criteria: * Identifying as a young woman (age 18-24 years) * Attending clinic for any health services, including PrEP and HIV testing * Smart phone ownership * Ability to understand Kiswahili, DhoLuo, and/or English * Use of SMS, WhatsApp, and/or other types of social media Exclusion Criteria: • Inability to provide informed consent (e.g., intoxication, developmental delay)
- Kisumu, Kenya