Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-021-87837-0 http://scihub22266oqcxt.onion/10.1038/s41598-021-87837-0 33883601!8060276!33883601     free     free     free 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 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 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 8581 Nephropedia Template TP {{tp|p=33883601|t=2021. A social network analysis of the spread of COVID-19 in South Korea and policy implications |pdf=|usr=}}{{33883601}} gab.com Text A social network analysis of the spread of COVID-19 in South Korea and policy implications JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33883601 #FOAvip This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3283 confirmed patients in Seoul metropolitan areas from January 20, 2020 to July 19, 2020, this study created an infection network and analyzed its structural characteristics. The main results are as follows: (i) out-degrees follow an extremely positively skewed distribution; (ii) removing the top nodes on the out-degree significantly decreases the size of the infection network, and (iii) the indicators that express the infectious power of the network change according to governmental measures. Efforts to collect network data and analyze network structures are urgently required for the efficiency of governmental responses to COVID-19. Implications for better use of a metric such as R0 to estimate infection spread are also discussed. Twit Text FOAVip A social network analysis of the spread of COVID-19 in South Korea and policy implications ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33883601 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33883601 #FOAvip English Wikipedia <ref>{{Cite pmid|33883601}}</ref> A social network analysis of the spread of COVID-19 in South Korea and policy implications #MMPMID33883601 Jo W; Chang D; You M; Ghim GH Sci Rep 2021[Apr]; 11 (1): 8581 PMID33883601show ga This study estimates the COVID-19 infection network from actual data and draws on implications for policy and research. Using contact tracing information of 3283 confirmed patients in Seoul metropolitan areas from January 20, 2020 to July 19, 2020, this study created an infection network and analyzed its structural characteristics. The main results are as follows: (i) out-degrees follow an extremely positively skewed distribution; (ii) removing the top nodes on the out-degree significantly decreases the size of the infection network, and (iii) the indicators that express the infectious power of the network change according to governmental measures. Efforts to collect network data and analyze network structures are urgently required for the efficiency of governmental responses to COVID-19. Implications for better use of a metric such as R0 to estimate infection spread are also discussed. |*Social Network Analysis[MESH] |COVID-19/*transmission[MESH] |Contact Tracing/*methods[MESH] |Health Policy[MESH] |Humans[MESH] |Republic of Korea[MESH]A social network analysis of the spread of COVID-19 in South Korea and(epmc).pdf DeepDyve Pubget Overpricing