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10.1371/journal.pntd.0008758 http://scihub22266oqcxt.onion/10.1371/journal.pntd.0008758 33001985!7553315!33001985     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\33001985.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       PLoS+Negl+Trop+Dis 2020 ; 14 (10): e0008758 Nephropedia Template TP {{tp|p=33001985|t=2020. Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system |pdf=|usr=}}{{33001985}} gab.com Text Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system JO: PLoS Negl Trop Dis http://www.kidney.de/pget.php?&tw=1&pmid=33001985 #FOAvip Early identification of the emergence of an outbreak of a novel infectious disease is critical to generating a timely response. The traditional monitoring system is adequate for detecting the outbreak of common diseases; however, it is insufficient for the discovery of novel infectious diseases. In this study, we used COVID-19 as an example to compare the delay time of different tools for identifying disease outbreaks. The results showed that both the abnormal spike in influenza-like illnesses and the peak of online searches of key terms could provide early signals. We emphasize the importance of testing these findings and discussing the broader potential to use syndromic surveillance, internet searches, and social media data together with traditional disease surveillance systems for early detection and understanding of novel emerging infectious diseases. Twit Text FOAVip Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system ????PLoS Negl Trop Dis http://www.kidney.de/pget.php?&tw=1&pmid=33001985 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33001985 #FOAvip English Wikipedia <ref>{{Cite pmid|33001985}}</ref> Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system #MMPMID33001985 Dai Y; Wang J PLoS Negl Trop Dis 2020[Oct]; 14 (10): e0008758 PMID33001985show ga Early identification of the emergence of an outbreak of a novel infectious disease is critical to generating a timely response. The traditional monitoring system is adequate for detecting the outbreak of common diseases; however, it is insufficient for the discovery of novel infectious diseases. In this study, we used COVID-19 as an example to compare the delay time of different tools for identifying disease outbreaks. The results showed that both the abnormal spike in influenza-like illnesses and the peak of online searches of key terms could provide early signals. We emphasize the importance of testing these findings and discussing the broader potential to use syndromic surveillance, internet searches, and social media data together with traditional disease surveillance systems for early detection and understanding of novel emerging infectious diseases. |*Sentinel Surveillance[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Communicable Diseases/epidemiology[MESH] |Coronavirus Infections/*epidemiology[MESH] |Disease Notification/*methods[MESH] |Humans[MESH] |Influenza, Human/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*epidemiology[MESH]Identifying the outbreak signal of COVID-19 before the response of the(epmc).pdf DeepDyve Pubget Overpricing