Cargando…
Using search engine big data for predicting new HIV diagnoses
BACKGROUND: A large and growing body of “big data” is generated by internet search engines, such as Google. Because people often search for information about public health and medical issues, researchers may be able to use search engine data to monitor and predict public health problems, such as HIV...
Autores principales: | Young, Sean D., Zhang, Qingpeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042696/ https://www.ncbi.nlm.nih.gov/pubmed/30001360 http://dx.doi.org/10.1371/journal.pone.0199527 |
Ejemplares similares
-
Using internet search data to predict new HIV diagnoses in China: a modelling study
por: Zhang, Qingpeng, et al.
Publicado: (2018) -
Internet search and medicaid prescription drug data as predictors of opioid emergency department visits
por: Young, Sean D., et al.
Publicado: (2021) -
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
por: Huang, Ruonan, et al.
Publicado: (2020) -
Use of social media big data as a novel HIV surveillance tool in South Africa
por: van Heerden, Alastair, et al.
Publicado: (2020) -
Structured Search for Big Data
por: Gilula, Mikhail
Publicado: (2015)