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10.1080/17538157.2021.1905642 http://scihub22266oqcxt.onion/10.1080/17538157.2021.1905642 33877944!ä!33877944 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Inform+Health+Soc+Care 2021 ; 46 (4): 443-454 Nephropedia Template TP {{tp|p=33877944|t=2021. Use of social media data for disease based social network analysis and network modeling: A Systematic Review |pdf=|usr=}}{{33877944}} gab.com Text Use of social media data for disease based social network analysis and network modeling: A Systematic Review JO: Inform Health Soc Care http://www.kidney.de/pget.php?&tw=1&pmid=33877944 #FOAvip Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions. Twit Text FOAVip Use of social media data for disease based social network analysis and network modeling: A Systematic Review ????Inform Health Soc Care http://www.kidney.de/pget.php?&tw=1&pmid=33877944 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33877944 #FOAvip English Wikipedia <ref>{{Cite pmid|33877944}}</ref> Use of social media data for disease based social network analysis and network modeling: A Systematic Review #MMPMID33877944 Ramamoorthy T; Karmegam D; Mappillairaju B Inform Health Soc Care 2021[Dec]; 46 (4): 443-454 PMID33877944show ga Burden due to infectious and noncommunicable disease is increasing at an alarming rate. Social media usage is growing rapidly and has become the new norm of communication. It is imperative to examine what is being discussed in the social media about diseases or conditions and the characteristics of the network of people involved in discussion. The objective is to assess the tools and techniques used to study social media disease networks using network analysis and network modeling. PubMed and IEEEXplore were searched from 2009 to 2020 and included 30 studies after screening and analysis. Twitter, QuitNet, and disease-specific online forums were widely used to study communications on various health conditions. Most of the studies have performed content analysis and network analysis, whereas network modeling has been done in six studies. Posts on cancer, COVID-19, and smoking have been widely studied. Tools and techniques used for network analysis are listed. Health-related social media data can be leveraged for network analysis. Network modeling technique would help to identify the structural factors associated with the affiliation of the disease networks, which is scarcely utilized. This will help public health professionals to tailor targeted interventions. |*COVID-19[MESH] |*Social Media[MESH] |Humans[MESH] |Public Health[MESH] |SARS-CoV-2[MESH]Use of social media data for disease based social network analysis and(epmc).pdf DeepDyve Pubget Overpricing