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10.1002/pra2.397 http://scihub22266oqcxt.onion/10.1002/pra2.397 33173829!7645864!33173829     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33173829&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 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Assoc+Inf+Sci+Technol 2020 ; 57 (1): e397 Nephropedia Template TP {{tp|p=33173829|t=2020. The state of practice of COVID-19 tracking systems: An inventory study |pdf=|usr=}}{{33173829}} gab.com Text The state of practice of COVID-19 tracking systems: An inventory study JO: Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173829 #FOAvip In this poster, we report the preliminary results of an inventory of 149 publicly accessible active COVID-19 tracking systems. Key findings include the frequency distribution of the systems' web domain names, the countries where the systems were created, the languages they support, the visual display format, the map platforms, and the data sources. These findings help to advance the knowledge of the data characteristics and design of pandemic surveillance/tracking systems. Twit Text FOAVip The state of practice of COVID-19 tracking systems: An inventory study ????Proc Assoc Inf Sci Technol http://www.kidney.de/pget.php?&tw=1&pmid=33173829 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33173829 #FOAvip English Wikipedia <ref>{{Cite pmid|33173829}}</ref> The state of practice of COVID-19 tracking systems: An inventory study #MMPMID33173829 Tang R; Erdelez S; May E; Zhang Y Proc Assoc Inf Sci Technol 2020[]; 57 (1): e397 PMID33173829show ga In this poster, we report the preliminary results of an inventory of 149 publicly accessible active COVID-19 tracking systems. Key findings include the frequency distribution of the systems' web domain names, the countries where the systems were created, the languages they support, the visual display format, the map platforms, and the data sources. These findings help to advance the knowledge of the data characteristics and design of pandemic surveillance/tracking systems. äThe state of practice of COVID-19 tracking systems: An inventory study(epmc).pdf DeepDyve Pubget Overpricing