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Your search keyword '"Aral, Sevgi O."' showing total 553 results
Start Over Author "Aral, Sevgi O." Publication Type Academic Journals
553 results on '"Aral, Sevgi O."'

1. Programme Science: a route to transformative change to improve population‐level impact for global HIV and sexually transmitted infections

Author

Becker, Marissa L., Shahmanesh, Maryam, and Aral, Sevgi O.

Subjects
HIV (Viruses) -- Care and treatment, Sexually transmitted diseases -- Care and treatment, Infection -- Care and treatment, Disease transmission -- Care and treatment, Health
Abstract

Tremendous progress has been made in managing the global HIV epidemic, both in terms of reducing new HIV acquisitions and in improving coverage of treatment for people living with HIV [...]

Published
2024
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5. Using Search Engine Data as a Tool to Predict Syphilis

Author

Young, Sean D, Torrone, Elizabeth A, Urata, John, and Aral, Sevgi O

Subjects
Public Health, Health Sciences, Prevention, Good Health and Well Being, Centers for Disease Control and Prevention, U.S., Forecasting, Humans, Incidence, Population Surveillance, Search Engine, Social Media, Syphilis, United States, Primary and secondary syphilis, Google Trends, Linear mixed model, Social media, Data science, Prediction, Disease detection, Statistics, Public Health and Health Services, Epidemiology, Public health
Abstract

BackgroundResearchers have suggested that social media and online search data might be used to monitor and predict syphilis and other sexually transmitted diseases. Because people at risk for syphilis might seek sexual health and risk-related information on the internet, we investigated associations between internet state-level search query data (e.g., Google Trends) and reported weekly syphilis cases.MethodsWe obtained weekly counts of reported primary and secondary syphilis for 50 states from 2012 to 2014 from the US Centers for Disease Control and Prevention. We collected weekly internet search query data regarding 25 risk-related keywords from 2012 to 2014 for 50 states using Google Trends. We joined 155 weeks of Google Trends data with 1-week lag to weekly syphilis data for a total of 7750 data points. Using the least absolute shrinkage and selection operator, we trained three linear mixed models on the first 10 weeks of each year. We validated models for 2012 and 2014 for the following 52 weeks and the 2014 model for the following 42 weeks.ResultsThe models, consisting of different sets of keyword predictors for each year, accurately predicted 144 weeks of primary and secondary syphilis counts for each state, with an overall average R of 0.9 and overall average root mean squared error of 4.9.ConclusionsWe used Google Trends search data from the prior week to predict cases of syphilis in the following weeks for each state. Further research could explore how search data could be integrated into public health monitoring systems.

Published
2018

6. Cognitive Testing of an Instrument to Evaluate Acceptability and Use of Pre-Exposure Prophylaxis Products among Women

Author

Zissette, Seth, Atujuna, Millicent, Tolley, Elizabeth E., Okumu, Eunice, Auerbach, Judith D., Hodder, Sally L., Aral, Sevgi O., and Adimora, Adaora A.

Abstract

Given the range of pre-exposure prophylaxis (PrEP) products currently being tested to prevent HIV in women, a standardized Acceptability and Use of PrEP Products Among Women Tool may facilitate comparisons of product acceptability and use across different geographies, trials, and users. We conducted three rounds of cognitive interviewing over 2 months in 2016, with 28 South African women who had experience participating in a range of PrEP product trials. The final instrument contained 41 items, including five new items that improved construct validity and 22 items modified for clarity. Changes were made due to unclear wording, difficulty answering, participant embarrassment, low response variability, and administrative formatting. Cognitive interviewing provided a means to address issues that would have inhibited this tool's ability to accurately collect data otherwise. This rapid, low-cost study provided valuable insight into participants' understanding of questions and demonstrated the utility of cognitive interviewing in international clinical trials.

Published
2020
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