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10.3389/fpubh.2021.685141 http://scihub22266oqcxt.onion/10.3389/fpubh.2021.685141 34026721!8131679!34026721     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Front+Public+Health 2021 ; 9 (ä): 685141 Nephropedia Template TP {{tp|p=34026721|t=2021. Baidu Index and COVID-19 Epidemic Forecast: Evidence From China |pdf=|usr=}}{{34026721}} gab.com Text Baidu Index and COVID-19 Epidemic Forecast: Evidence From China JO: Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34026721 #FOAvip With the global spread of the Coronavirus epidemic, search engine data can be a practical tool for decision-makers to understand the epidemic's trends. This article uses trend analysis data from the Baidu search engine, the most widely used in China, to analyze the public's attention to the epidemic and the demand for N95 masks and other anti-epidemic materials and information. This kind of analysis has become an important part of information epidemiology. We have analyzed the use of the keywords "Coronavirus epidemic," "N95 mask," and "Wuhan epidemic" to judge whether the introduction of real-time search data has improved the efficiency of the Coronavirus epidemic prediction model. In general, the introduction of the Baidu index, whether in-sample or out-of-sample, significantly improves the prediction efficiency of the model. Twit Text FOAVip Baidu Index and COVID-19 Epidemic Forecast: Evidence From China ????Front Public Health http://www.kidney.de/pget.php?&tw=1&pmid=34026721 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34026721 #FOAvip English Wikipedia <ref>{{Cite pmid|34026721}}</ref> Baidu Index and COVID-19 Epidemic Forecast: Evidence From China #MMPMID34026721 Fang J; Zhang X; Tong Y; Xia Y; Liu H; Wu K Front Public Health 2021[]; 9 (ä): 685141 PMID34026721show ga With the global spread of the Coronavirus epidemic, search engine data can be a practical tool for decision-makers to understand the epidemic's trends. This article uses trend analysis data from the Baidu search engine, the most widely used in China, to analyze the public's attention to the epidemic and the demand for N95 masks and other anti-epidemic materials and information. This kind of analysis has become an important part of information epidemiology. We have analyzed the use of the keywords "Coronavirus epidemic," "N95 mask," and "Wuhan epidemic" to judge whether the introduction of real-time search data has improved the efficiency of the Coronavirus epidemic prediction model. In general, the introduction of the Baidu index, whether in-sample or out-of-sample, significantly improves the prediction efficiency of the model. |*COVID-19[MESH] |*Epidemics[MESH] |China/epidemiology[MESH] |Humans[MESH] |SARS-CoV-2[MESH]Baidu Index and COVID-19 Epidemic Forecast: Evidence From China (epmc).pdf DeepDyve Pubget Overpricing