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10.1016/j.cgh.2020.06.058 http://scihub22266oqcxt.onion/10.1016/j.cgh.2020.06.058 32629121!7834024!32629121     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 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       Clin+Gastroenterol+Hepatol 2020 ; 18 (12): 2833-2834.e3 Nephropedia Template TP {{tp|p=32629121|t=2020. Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots |pdf=|usr=}}{{32629121}} gab.com Text Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots JO: Clin Gastroenterol Hepatol http://www.kidney.de/pget.php?&tw=1&pmid=32629121 #FOAvip Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time.(1)(,)(2) It has previously correlated well with infectious disease incidence and has demonstrated utility in disease forecasting, especially with influenza data.(3) We utilized Google Trends to investigate whether search interest in common gastrointestinal (GI) symptoms would correlate with coronavirus disease 2019 (COVID-19) incidence data. Twit Text FOAVip Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots ????Clin Gastroenterol Hepatol http://www.kidney.de/pget.php?&tw=1&pmid=32629121 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32629121 #FOAvip English Wikipedia <ref>{{Cite pmid|32629121}}</ref> Increased Internet Search Interest for GI Symptoms May Predict COVID-19 Cases in US Hotspots #MMPMID32629121 Ahmad I; Flanagan R; Staller K Clin Gastroenterol Hepatol 2020[Nov]; 18 (12): 2833-2834.e3 PMID32629121show ga Google Trends is an online tool that allows measurement of search term popularity on Google, spatially and temporally. While not an epidemiological tool for determining incidence, it can estimate the popularity of a certain disease by search volume over time.(1)(,)(2) It has previously correlated well with infectious disease incidence and has demonstrated utility in disease forecasting, especially with influenza data.(3) We utilized Google Trends to investigate whether search interest in common gastrointestinal (GI) symptoms would correlate with coronavirus disease 2019 (COVID-19) incidence data. |*Betacoronavirus[MESH] |*Pandemics[MESH] |COVID-19[MESH] |Comorbidity[MESH] |Coronavirus Infections/*epidemiology[MESH] |Gastrointestinal Diseases/*diagnosis/epidemiology[MESH] |Humans[MESH] |Incidence[MESH] |Internet/*statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology[MESH] |Prognosis[MESH] |SARS-CoV-2[MESH]Increased Internet Search Interest for GI Symptoms May Predict COVID-1(epmc).pdf DeepDyve Pubget Overpricing