Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China.
Using the Baidu Search Index to Predict the Incidence of HIV/AIDS in China.
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DOI：
10.1038/s41598-018-27413-1
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发表时间：
2018-06-13
影响因子：
4.6
通讯作者：
Min Z
中科院分区：
文献类型：
--
作者：
He G;Chen Y;Chen B;Wang H;Shen L;Liu L;Suolang D;Zhang B;Ju G;Zhang L;Du S;Jiang X;Pan Y;Min Z
Based on a panel of 30 provinces and a timeframe from January 2009 to December 2013, we estimate the association between monthly human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS) incidence and the relevant Internet search query volumes in Baidu, the most widely used search engine among the Chinese. The pooled mean group (PMG) model show that the Baidu search index (BSI) positively predicts the increase in HIV/AIDS incidence, with a 1% increase in BSI associated with a 2.1% increase in HIV/AIDS incidence on average. This study proposes a promising method to estimate and forecast the incidence of HIV/AIDS, a type of infectious disease that is culturally sensitive and highly unevenly distributed in China; the method can be taken as a complement to a traditional HIV/AIDS surveillance system.
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影响因子：
7.7
作者：
Mao Y;Wu Z;Poundstone K;Wang C;Qin Q;Ma Y;Ma W
通讯作者：
Ma W
使用百度搜索指数预测中国登革热疫情。
影响因子：
4.6
作者：
Liu K;Wang T;Yang Z;Huang X;Milinovich GJ;Lu Y;Jing Q;Xia Y;Zhao Z;Yang Y;Tong S;Hu W;Lu J
通讯作者：
Lu J
DOI：
10.1016/s1473-3099(13)70244-5
发表时间：
2014-03
期刊：
The Lancet. Infectious diseases
影响因子：
--
作者：
Milinovich GJ;Williams GM;Clements AC;Hu W
通讯作者：
Hu W
影响因子：
3.7
作者：
Pesaran, MH;Shin, YC;Smith, RP
通讯作者：
Smith, RP
影响因子：
3.7
作者：
Chiu, Alice P. Y.;Lin, Qianying;He, Daihai
通讯作者：
He, Daihai