ArticleBMJ open2018
Using internet search data to predict new HIV diagnoses in China: a modelling study.
Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Insights on the implications of COVID-19 mitigation measures for mental health.Economics and human biology · 2021Pooled it
- Artificial intelligence in HIV research, policy, and clinical care.The lancet. HIV · 2026Review
- Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review.Current HIV/AIDS reports · 2023Article
- Dynamic mechanism of eliminating COVID-19 vaccine hesitancy through web search.Frontiers in public health · 2023Article
- Social Media Images as an Emerging Tool to Monitor Adherence to COVID-19 Public Health Guidelines: Content Analysis.Journal of medical Internet research · 2022Article
- Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.AIDS and behavior · 2021Article
- Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain.Heliyon · 2021Article
- Technology-Delivered Intervention Strategies to Bolster HIV Testing.Current HIV/AIDS reports · 2021Review
- Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes.Current HIV/AIDS reports · 2021Review
- Interest in Sexually Transmitted Infections: Analysis of Web Search Data Terms in Eleven Large German Cities from 2015 to 2019.International journal of environmental research and public health · 2021Article
- Internet search and medicaid prescription drug data as predictors of opioid emergency department visits.NPJ digital medicine · 2021Article
- Geolocation, ethics, and HIV research.Health and technology · 2021Article
- The quality of online media reporting of celebrity suicide in India and its association with subsequent online suicide-related search behaviour among general population: An infodemiology study.Asian journal of psychiatry · 2020Article
- Article
- Algorithmic prediction of HIV status using nation-wide electronic registry data.EClinicalMedicine · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectivesInternet data are important sources of abundant information regarding HIV epidemics and risk factors. A number of case studies found an association between internet searches and outbreaks of infectious diseases, including HIV. In this research, we examined the feasibility of using search query data to predict the number of new HIV diagnoses in China.
designWe identified a set of search queries that are associated with new HIV diagnoses in China. We developed statistical models (negative binomial generalised linear model and its Bayesian variants) to estimate the number of new HIV diagnoses by using data of search queries (Baidu) and official statistics (for the entire country and for Guangdong province) for 7 years (2010 to 2016).
resultsSearch query data were positively associated with the number of new HIV diagnoses in China and in Guangdong province. Experiments demonstrated that incorporating search query data could improve the prediction performance in nowcasting and forecasting tasks.
conclusionsBaidu data can be used to predict the number of new HIV diagnoses in China up to the province level. This study demonstrates the feasibility of using search query data to predict new HIV diagnoses. Results could potentially facilitate timely evidence-based decision making and complement conventional programmes for HIV prevention.
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