Using Baidu Search Engine to Monitor AIDS Epidemics Inform for Targeted Intervention of HIV/AIDS in China

Scientific Reports - United Kingdom
doi 10.1038/s41598-018-35685-w
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

A Machine Learning Method to Monitor China’s AIDS Epidemics With Data From Baidu Trends

PLoS ONE
Multidisciplinary
2018English

Introduction of Phylo-Dynamics for Controlling HIV/AIDS Epidemics in Korea

Journal of Preventive Medicine and Public Health
MedicineEnvironmentalPublic HealthOccupational Health
2018English

Prospects for Using Pre-Exposure Prophylaxis to Control the Prevalence of HIV/AIDS in China

Drug discoveries & therapeutics
MedicineToxicologyPharmaceuticsPharmacology
2011English

The Readability of HIV/AIDS Educational Materials Targeted to Drug Users.

American Journal of Public Health
EnvironmentalPublic HealthOccupational Health
1997English

Flexible Epidemiological Model for Estimates and Short-Term Projections in Generalised HIV/AIDS Epidemics

Sexually Transmitted Infections
DermatologyInfectious Diseases
2010English

Estimates and Projections of HIV/AIDS for Yunnan Province, China

Population Review
Demography
2004English

Integrating eHealth in HIV/AIDS Intervention Programmes in South Africa

SA Journal of Information Management
2015English

Halting HIV/AIDS With Avatars and Havatars: A Virtual World Approach to Modelling Epidemics

BMC Public Health
EnvironmentalPublic HealthOccupational Health
2009English

Risk of HIV/AIDS in China: Subpopulations of Special Importance

Sexually Transmitted Infections
DermatologyInfectious Diseases
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy