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10.1016/j.ijid.2020.04.033 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.04.033 32305520!7162745!32305520     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Infect+Dis 2020 ; 95 (ä): 192-197 Nephropedia Template TP {{tp|p=32305520|t=2020. Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis |pdf=|usr=}}{{32305520}} gab.com Text Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32305520 #FOAvip OBJECTIVES: To assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe. METHODS: We performed a Google Trends(TM) search for "Coronavirus" and compared Relative Search Volumes (RSV) indices to the number of reported COVID-19 cases by the European Center for Disease Control (ECDC) using time-lag correlation analysis. RESULTS: Worldwide public interest in Coronavirus reached its first peak end of January when numbers of newly infected patients started to increase exponentially in China. The worldwide Google Trends(TM) index reached its peak on the 12th of March 2020 at a time when numbers of infected patients started to increase in Europe and COVID-19 was declared a pandemic. At this time the general interest in China but also the Republic of Korea has already been significantly decreased as compared to end of January. Correlations between RSV indices and number of new COVID-19 cases were observed across all investigated countries with highest correlations observed with a time lag of -11.5 days, i.e. highest interest in coronavirus observed 11.5 days before the peak of newly infected cases. This pattern was very consistent across European countries but also holds true for the US. In Brazil and Australia, highest correlations were observed with a time lag of -7 days. In Egypt the highest correlation is given with a time lag of 0, potentially indicating that in this country, numbers of newly infected patients will increase exponentially within the course of April. CONCLUSIONS: Public interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic. Public interest is on average highest 11.5 days before the peak of newly infected cases. Twit Text FOAVip Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32305520 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32305520 #FOAvip English Wikipedia <ref>{{Cite pmid|32305520}}</ref> Association of the COVID-19 pandemic with Internet Search Volumes: A Google Trends(TM) Analysis #MMPMID32305520 Effenberger M; Kronbichler A; Shin JI; Mayer G; Tilg H; Perco P Int J Infect Dis 2020[Jun]; 95 (ä): 192-197 PMID32305520show ga OBJECTIVES: To assess the association of public interest in coronavirus infections with the actual number of infected cases for selected countries across the globe. METHODS: We performed a Google Trends(TM) search for "Coronavirus" and compared Relative Search Volumes (RSV) indices to the number of reported COVID-19 cases by the European Center for Disease Control (ECDC) using time-lag correlation analysis. RESULTS: Worldwide public interest in Coronavirus reached its first peak end of January when numbers of newly infected patients started to increase exponentially in China. The worldwide Google Trends(TM) index reached its peak on the 12th of March 2020 at a time when numbers of infected patients started to increase in Europe and COVID-19 was declared a pandemic. At this time the general interest in China but also the Republic of Korea has already been significantly decreased as compared to end of January. Correlations between RSV indices and number of new COVID-19 cases were observed across all investigated countries with highest correlations observed with a time lag of -11.5 days, i.e. highest interest in coronavirus observed 11.5 days before the peak of newly infected cases. This pattern was very consistent across European countries but also holds true for the US. In Brazil and Australia, highest correlations were observed with a time lag of -7 days. In Egypt the highest correlation is given with a time lag of 0, potentially indicating that in this country, numbers of newly infected patients will increase exponentially within the course of April. CONCLUSIONS: Public interest indicated by RSV indices can help to monitor the progression of an outbreak such as the current COVID-19 pandemic. Public interest is on average highest 11.5 days before the peak of newly infected cases. |*Betacoronavirus[MESH] |*Internet[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH] |SARS-CoV-2[MESH]Association of the COVID-19 pandemic with Internet Search Volumes: A G(epmc).pdf DeepDyve Pubget Overpricing