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Developing a Novel Mobile App to Support HIV Testing and Pre-Exposure Prophylaxis Uptake Among Men Who Have Sex With Men: Formative and Technical Pilot Study

Developing a Novel Mobile App to Support HIV Testing and Pre-Exposure Prophylaxis Uptake Among Men Who Have Sex With Men: Formative and Technical Pilot Study

A participant in Chicago said the following: I do think that’s kind of useful, so you can keep track of what you’re doing, or you know, if you need to “slow your ho down”—I feel like you can be able to hide it, so people don’t see it, or call your 5-star person up. Another participant in Chicago commented the following: The diary makes it fun, and not just a health app. I would look forward to looking back at it because of all the fun comments I made in it. It makes being safe fun to me.

Albert Y Liu, Thiago S Torres, Cat-Dancing Alleyne, Janie Vinson, Kelly Bojan, Pedro Alonso Serrano, Temitope Oyedele, Elizabeth Enriquez-Bruce, Patricia Emmanuel, Jeb Jones, Kathryn E Muessig, Susan P Buchbinder, Patrick Sullivan, Lisa B Hightow-Weidman, Hyman Scott

JMIR Hum Factors 2025;12:e62830

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective

Based on x, the data points in S are divided into K childnode S1, S2, ..., SK, with the number of points in each child node being m1, m2, ..., m K, respectively. Next, we define the information gain based on the attribute x, as given by equation 5. G(x, S) = H(S) – H(x,S) (5) Let the selected attribute be x. Based on x, the data points in S are divided into K childnode S1, S2, ..., SK, with the number of points in each child node being m1, m2, ..., m K, respectively.

Dung Nguyen Tien, Huong Thi Thu Bui, Tram Hoang Thi Ngoc, Thuy Thi Pham, Dac Trung Nguyen, Huyen Nguyen Thi Thu, Thi Thu Hang Vu, Thi Lan Anh Luong, Lan Thu Hoang, Ho Cam Tu, Nina Körber, Tanja Bauer, Lam Khanh Ho

JMIR Form Res 2025;9:e69838

Public Health Messaging About Dengue on Facebook in Singapore During the COVID-19 Pandemic: Content Analysis

Public Health Messaging About Dengue on Facebook in Singapore During the COVID-19 Pandemic: Content Analysis

Using the keywords “Dengue,” “dengue,” “Mozzie,” “mozzie,” “mosquito,” “breed,” “wolbachia,” “Wolbachia,” “aedes,” “BLOCK,” “B-L-O-C-K,” “SAW,” “S-A-W,” “#mozziewipeout,” “#Mozziewipeout,” “repellent,” “insecticide,” “vase,” “pails,” “pot,” and “soil,” we crawled Facebook posts of the 5 Singapore governmental institutions. We used the Python Web Crawler to crawl the Facebook posts, starting from January 1, 2020.

Shirley S Ho, Mengxue Ou, Nova Mengxia Huang, Agnes SF Chuah, Vanessa S Ho, Sonny Rosenthal, Hye Kyung Kim

JMIR Form Res 2025;9:e66954