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10.1016/j.physa.2021.125788 http://scihub22266oqcxt.onion/10.1016/j.physa.2021.125788 33551542!7845521!33551542     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 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Physica+A 2021 ; 570 (ä): 125788 Nephropedia Template TP {{tp|p=33551542|t=2021. COVID-19 information contact and participation analysis and dynamic prediction in the Chinese Sina-microblog |pdf=|usr=}}{{33551542}} gab.com Text COVID-19 information contact and participation analysis and dynamic prediction in the Chinese Sina-microblog JO: Physica A http://www.kidney.de/pget.php?&tw=1&pmid=33551542 #FOAvip The outbreak of a novel coronavirus (COVID-19) aroused great public opinion in the Chinese Sina-microblog. To help in designing effective communication strategies during a major public health emergency, we analyze the real data of COVID-19 information and propose a comprehensive susceptible-reading-forwarding-immune (SRFI) model to understand the patterns of key information propagation considering both public contact and participation. We develop the SRFI model, based on the public reading quantity and forwarding quantity that denote contact and participation respectively, and take into account the behavior that users may re-enter another related topic during the attention phase or the participation phase freely. Data fitting using the real data of both reading quantity and forwarding quantity obtained from Chinese Sina-microblog can parameterize the model to make an accurate prediction of the COVID-19 public opinion trend until the next major news item occurs, and the sensitivity analysis provides the basic strategies for communication. Twit Text FOAVip COVID-19 information contact and participation analysis and dynamic prediction in the Chinese Sina-microblog ????Physica A http://www.kidney.de/pget.php?&tw=1&pmid=33551542 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33551542 #FOAvip English Wikipedia <ref>{{Cite pmid|33551542}}</ref> COVID-19 information contact and participation analysis and dynamic prediction in the Chinese Sina-microblog #MMPMID33551542 Yin F; Pang H; Xia X; Shao X; Wu J Physica A 2021[May]; 570 (ä): 125788 PMID33551542show ga The outbreak of a novel coronavirus (COVID-19) aroused great public opinion in the Chinese Sina-microblog. To help in designing effective communication strategies during a major public health emergency, we analyze the real data of COVID-19 information and propose a comprehensive susceptible-reading-forwarding-immune (SRFI) model to understand the patterns of key information propagation considering both public contact and participation. We develop the SRFI model, based on the public reading quantity and forwarding quantity that denote contact and participation respectively, and take into account the behavior that users may re-enter another related topic during the attention phase or the participation phase freely. Data fitting using the real data of both reading quantity and forwarding quantity obtained from Chinese Sina-microblog can parameterize the model to make an accurate prediction of the COVID-19 public opinion trend until the next major news item occurs, and the sensitivity analysis provides the basic strategies for communication. äCOVID-19 information contact and participation analysis and dynamic pr(epmc).pdf DeepDyve Pubget Overpricing