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Examining the themes of STD-related Internet searches to increase specificity of disease forecasting using Internet search terms

https://doi.org/10.1038/srep36503
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.amepre.2014.05.020openalex-snapshot
What Can Digital Disease Detection Learn from (an External Revision to) Google Flu Trends?
inferredcites →https://doi.org/10.1038/nature07634openalex-snapshot
Detecting influenza epidemics using search engine query data
inferredcites →https://doi.org/10.1038/srep12760openalex-snapshot
Advances in nowcasting influenza-like illness rates using search query logs
inferredcites →https://doi.org/10.1086/630200openalex-snapshot
Google Trends: A Web‐Based Tool for Real‐Time Surveillance of Disease Outbreaks
inferredcites →https://doi.org/10.1097/olq.0000000000000065openalex-snapshot
A Comparison of Internet Search Trends and Sexually Transmitted Infection Rates Using Google Trends
inferredcites →https://doi.org/10.1126/science.1248506openalex-snapshot
The Parable of Google Flu: Traps in Big Data Analysis
inferredcites →https://doi.org/10.1136/bmj.322.7294.1115openalex-snapshot
Checklists for improving rigour in qualitative research: a case of the tail wagging the dog?
inferredcites →https://doi.org/10.1145/1124772.1124877openalex-snapshot
A large scale study of wireless search behavior
inferredcites →https://doi.org/10.1177/0049124113500475openalex-snapshot
Coding In-depth Semistructured Interviews
inferredcites →https://doi.org/10.1257/jep.28.2.3openalex-snapshot
Big Data: New Tricks for Econometrics
inferredcites →https://doi.org/10.1371/journal.pntd.0001206openalex-snapshot
Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance
inferredcites →https://doi.org/10.2196/jmir.2911openalex-snapshot
Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks
inferredcites →https://doi.org/10.3201/eid1508.090299openalex-snapshot
More Diseases Tracked by Using Google Trends

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4190263openalex-extracted
Effects of Online Health Information-Seeking Behavior on Sexually Transmitted Disease in China: An Infodemiology Study Based on the Baidu Index
inferred← citeshttps://doi.org/10.1007/s10508-022-02428-yopenalex-snapshot
Monkeypox Prevention and Protecting Sex Workers: A Call to Action
inferred← citeshttps://doi.org/10.1016/j.puhe.2023.03.007openalex-snapshot
Population well-being and the COVID-19 vaccination program in Chile: evidence from Google Trends
inferred← citeshttps://doi.org/10.1071/sh17198openalex-snapshot
Factors associated with online sexually transmissible infection information seeking among young people in Malaysia: an observational study
inferred← citeshttps://doi.org/10.1097/ede.0000000000000836openalex-snapshot
Using Search Engine Data as a Tool to Predict Syphilis
inferred← citeshttps://doi.org/10.1109/access.2020.2983799openalex-snapshot
Using Partial Least Squares Regression to Fit Small Data of H7N9 Incidence Based on the Baidu Index
inferred← citeshttps://doi.org/10.1136/bmjopen-2017-018335openalex-snapshot
Using internet search data to predict new HIV diagnoses in China: a modelling study
inferred← citeshttps://doi.org/10.1136/bmjopen-2019-036098openalex-snapshot
Using Baidu search index to monitor and predict newly diagnosed cases of HIV/AIDS, syphilis and gonorrhea in China: estimates from a vector autoregressive (VAR) model
inferred← citeshttps://doi.org/10.1186/s12879-024-10285-4openalex-snapshot
Accuracy of symptom checker for the diagnosis of sexually transmitted infections using machine learning and Bayesian network algorithms
inferred← citeshttps://doi.org/10.1371/journal.pone.0239304openalex-snapshot
Use of social media big data as a novel HIV surveillance tool in South Africa
inferred← citeshttps://doi.org/10.2196/20588openalex-snapshot
Nowcasting Sexually Transmitted Infections in Chicago: Predictive Modeling and Evaluation Study Using Google Trends
inferred← citeshttps://doi.org/10.2196/37258openalex-snapshot
Sexually Transmitted Disease–Related Reddit Posts During the COVID-19 Pandemic: Latent Dirichlet Allocation Analysis
inferred← citeshttps://doi.org/10.2196/43046openalex-snapshot
The Effects of Online Health Information–Seeking Behavior on Sexually Transmitted Disease in China: Infodemiology Study of the Internet Search Queries
inferred← citeshttps://doi.org/10.2196/preprints.37258openalex-snapshot
“Is this Herpes or Syphilis?”: Latent Dirichlet Allocation Analysis of Sexually Transmitted Disease-Related Reddit Posts During the COVID-19 Pandemic (Preprint)
inferred← citeshttps://doi.org/10.3390/forecast5010015openalex-snapshot
Assessing Spurious Correlations in Big Search Data
inferred← citeshttps://doi.org/10.4018/978-1-5225-3373-3.ch008openalex-snapshot
Senses of “Selfie” Around the World From Web Search Patterns Over Extended Time
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