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10.1016/j.idm.2020.10.001 http://scihub22266oqcxt.onion/10.1016/j.idm.2020.10.001 33134612!7585146!33134612     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Dis+Model 2020 ; 5 (ä): 848-854 Nephropedia Template TP {{tp|p=33134612|t=2020. Internet search data could Be used as novel indicator for assessing COVID-19 epidemic |pdf=|usr=}}{{33134612}} gab.com Text Internet search data could Be used as novel indicator for assessing COVID-19 epidemic JO: Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=33134612 #FOAvip The pandemic of the coronavirus disease (COVID-19) poses a huge challenge all countries, since no one is well prepared for it. To be better prepared for future pandemics, we evaluated association between the internet search data with reported COVID-19 cases to verify whether it could become an early indicator for emerging epidemic. After the keyword filtering and Index composition, we found that there were close correlations between Composite Index and suspected cases for COVID-19 (r = 0.921, P < 0.05). The Search Index was applied for the Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model to quantify the relationship. Compared with the model based on surveillance data only, the ARIMAX model had smaller Akaike Information Criterion (AIC = 403.51) and the most accurate predictive values. Overall, the Internet search data could serve as a convenient indicator for predicting the epidemic and to monitor its trends. Twit Text FOAVip Internet search data could Be used as novel indicator for assessing COVID-19 epidemic ????Infect Dis Model http://www.kidney.de/pget.php?&tw=1&pmid=33134612 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33134612 #FOAvip English Wikipedia <ref>{{Cite pmid|33134612}}</ref> Internet search data could Be used as novel indicator for assessing COVID-19 epidemic #MMPMID33134612 Li K; Liang Y; Li J; Liu M; Feng Y; Shao Y Infect Dis Model 2020[]; 5 (ä): 848-854 PMID33134612show ga The pandemic of the coronavirus disease (COVID-19) poses a huge challenge all countries, since no one is well prepared for it. To be better prepared for future pandemics, we evaluated association between the internet search data with reported COVID-19 cases to verify whether it could become an early indicator for emerging epidemic. After the keyword filtering and Index composition, we found that there were close correlations between Composite Index and suspected cases for COVID-19 (r = 0.921, P < 0.05). The Search Index was applied for the Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX) model to quantify the relationship. Compared with the model based on surveillance data only, the ARIMAX model had smaller Akaike Information Criterion (AIC = 403.51) and the most accurate predictive values. Overall, the Internet search data could serve as a convenient indicator for predicting the epidemic and to monitor its trends. äInternet search data could Be used as novel indicator for assessing CO(epmc).pdf DeepDyve Pubget Overpricing