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10.3390/s20236764 http://scihub22266oqcxt.onion/10.3390/s20236764 33256085!7729752!33256085     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       Sensors+(Basel) 2020 ; 20 (23): ä Nephropedia Template TP {{tp|p=33256085|t=2020. An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application |pdf=|usr=}}{{33256085}} gab.com Text An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application JO: Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33256085 #FOAvip Timely detection and diagnosis are essentially needed to guide outbreak measures and infection control. It is vital to improve healthcare quality in public places, markets, schools and airports and provide useful insights into the technological environment and help researchers acknowledge the choices and gaps available in this field. In this narrative review, the detection of coronavirus disease 2019 (COVID-19) technologies is summarized and discussed with a comparison between them from several aspects to arrive at an accurate decision on the feasibility of applying the best of these techniques in the biosensors that operate using laser detection technology. The collection of data in this analysis was done by using six reliable academic databases, namely, Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar and PubMed. This review includes an analysis review of three highlights: evaluating the hazard of pandemic COVID-19 transmission styles and comparing them with Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) to identify the main causes of the virus spreading, a critical analysis to diagnose coronavirus disease 2019 (COVID-19) based on artificial intelligence using CT scans and CXR images and types of biosensors. Finally, we select the best methods that can potentially stop the propagation of the coronavirus pandemic. Twit Text FOAVip An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application ????Sensors (Basel) http://www.kidney.de/pget.php?&tw=1&pmid=33256085 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33256085 #FOAvip English Wikipedia <ref>{{Cite pmid|33256085}}</ref> An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application #MMPMID33256085 Taha BA; Al Mashhadany Y; Hafiz Mokhtar MH; Dzulkefly Bin Zan MS; Arsad N Sensors (Basel) 2020[Nov]; 20 (23): ä PMID33256085show ga Timely detection and diagnosis are essentially needed to guide outbreak measures and infection control. It is vital to improve healthcare quality in public places, markets, schools and airports and provide useful insights into the technological environment and help researchers acknowledge the choices and gaps available in this field. In this narrative review, the detection of coronavirus disease 2019 (COVID-19) technologies is summarized and discussed with a comparison between them from several aspects to arrive at an accurate decision on the feasibility of applying the best of these techniques in the biosensors that operate using laser detection technology. The collection of data in this analysis was done by using six reliable academic databases, namely, Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar and PubMed. This review includes an analysis review of three highlights: evaluating the hazard of pandemic COVID-19 transmission styles and comparing them with Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) to identify the main causes of the virus spreading, a critical analysis to diagnose coronavirus disease 2019 (COVID-19) based on artificial intelligence using CT scans and CXR images and types of biosensors. Finally, we select the best methods that can potentially stop the propagation of the coronavirus pandemic. |Animals[MESH] |Artificial Intelligence[MESH] |Biosensing Techniques/*methods/statistics & numerical data[MESH] |COVID-19 Testing/*methods/statistics & numerical data[MESH] |COVID-19/*diagnosis/transmission/virology[MESH] |Environmental Microbiology[MESH] |Environmental Monitoring[MESH] |Humans[MESH] |Pandemics[MESH] |SARS-CoV-2/isolation & purification[MESH]An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Ba(epmc).pdf DeepDyve Pubget Overpricing