Using the Internet Big Data to Investigate the Epidemiological Characteristics of Allergic Rhinitis and Allergic Conjunctivitis.

Huijun QiuRui ZhengXinyue WangZhuang-Gui ChenPeiying FengXuekun HuangYuqi ZhouJin TaoMin DaiLianxiong YuanXiangdong WangLuo ZhangQintai Yang

Published in: Risk management and healthcare policy (2021)

The BDI could reflect the real-world situation to some extent and has the potential to predict the epidemiological characteristics of AR and AC. The BDI and OV of AR decreased significantly, but those of AC were still at a high level, during the COVID-19 pandemic, in the environment where most people in Beijing and Guangzhou wore masks without eye protection.

Keyphrases

allergic rhinitis
big data
artificial intelligence
machine learning
air pollution
health information
particulate matter
human health