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10.5114/aoms/133522 http://scihub22266oqcxt.onion/10.5114/aoms/133522 34025856!8130465!34025856     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34025856&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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       Arch+Med+Sci 2021 ; 17 (3): 829-837 Nephropedia Template TP {{tp|p=34025856|t=2021. Big data driven COVID-19 pandemic crisis management: potential approach for global health |pdf=|usr=}}{{34025856}} gab.com Text Big data driven COVID-19 pandemic crisis management: potential approach for global health JO: Arch Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=34025856 #FOAvip INTRODUCTION: Information has the power to protect against unexpected events and control any crisis such as the COVID-19 pandemic. Since COVID-19 has already rapidly spread all over the world, only technology-driven data management can provide accurate information to manage the crisis. This study aims to explore the potential of big data technologies for controlling COVID-19 transmission and managing it effectively. METHODS: A systematic review guided by PRISMA guidelines has been performed to obtain the key elements. RESULTS: This study identified the thirty-two most relevant documents for qualitative analysis. This study also reveals 10 possible sources and 8 key applications of big data for analyzing the virus infection trend, transmission pattern, virus association, and differences of genetic modifications. It also explores several limitations of big data usage including unethical use, privacy, and exploitative use of data. CONCLUSIONS: The findings of the study will provide new insight and help policymakers and administrators to develop data-driven initiatives to tackle and manage the COVID-19 crisis. Twit Text FOAVip Big data driven COVID-19 pandemic crisis management: potential approach for global health ????Arch Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=34025856 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34025856 #FOAvip English Wikipedia <ref>{{Cite pmid|34025856}}</ref> Big data driven COVID-19 pandemic crisis management: potential approach for global health #MMPMID34025856 Lv Y; Ma C; Li X; Wu M Arch Med Sci 2021[]; 17 (3): 829-837 PMID34025856show ga INTRODUCTION: Information has the power to protect against unexpected events and control any crisis such as the COVID-19 pandemic. Since COVID-19 has already rapidly spread all over the world, only technology-driven data management can provide accurate information to manage the crisis. This study aims to explore the potential of big data technologies for controlling COVID-19 transmission and managing it effectively. METHODS: A systematic review guided by PRISMA guidelines has been performed to obtain the key elements. RESULTS: This study identified the thirty-two most relevant documents for qualitative analysis. This study also reveals 10 possible sources and 8 key applications of big data for analyzing the virus infection trend, transmission pattern, virus association, and differences of genetic modifications. It also explores several limitations of big data usage including unethical use, privacy, and exploitative use of data. CONCLUSIONS: The findings of the study will provide new insight and help policymakers and administrators to develop data-driven initiatives to tackle and manage the COVID-19 crisis. äBig data driven COVID-19 pandemic crisis management: potential approac(epmc).pdf DeepDyve Pubget Overpricing