2018
DOI: 10.1097/ede.0000000000000836
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Using Search Engine Data as a Tool to Predict Syphilis

Abstract: We 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.

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Cited by 45 publications
(32 citation statements)
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“…Looking at recent studies, GT was used to track infectious disease data on chickenpox [13], Lyme [14], the Ebola epidemic [15], syphilis [16], conjunctivitis [17] dengue fever [18], HIV [19], sepsis [20], plague [21] and track influenza epidemics using climate data. GT is also used to forecast [22], real-time surveillance [23] or to prevent [24] diseases.…”
Section: Arxiv:200111021v1 [Csir] 29 Jan 2020mentioning
confidence: 99%
“…Looking at recent studies, GT was used to track infectious disease data on chickenpox [13], Lyme [14], the Ebola epidemic [15], syphilis [16], conjunctivitis [17] dengue fever [18], HIV [19], sepsis [20], plague [21] and track influenza epidemics using climate data. GT is also used to forecast [22], real-time surveillance [23] or to prevent [24] diseases.…”
Section: Arxiv:200111021v1 [Csir] 29 Jan 2020mentioning
confidence: 99%
“…Looking at recent studies, GT has been used to track infectious disease data on chickenpox [47], Lyme disease [48], the Ebola epidemic [49], syphilis [50], conjunctivitis [51], and dengue fever [52]. Some researchers studied mental health [53] and depression [54] queries.…”
Section: Introductionmentioning
confidence: 99%
“…Social media, chatbots, and mobile apps have been studied across a number of clinical and public health settings, including patient outreach, screening and monitoring; intervention delivery; remote vital sign assessment; as well for providing treatment recommendations and retaining patients in care. For example, social media discussions about HIV and syphilis-related risk behaviors can be modeled with artificial intelligence to monitor and predict future cases within regions, helping to inform interventions that can be digitally delivered and tailored to at-risk populations [4]. Social media and mobile apps can also be used to engage and retain patients at risk for and living with HIV, helping to keep them connected to clinical care during times when non-essential in-person visits are discouraged.…”
Section: Social Media Mobile Apps and Chatbotsmentioning
confidence: 99%