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10.2196/23805 http://scihub22266oqcxt.onion/10.2196/23805 33302250!7800906!33302250     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Med+Internet+Res 2021 ; 23 (1): e23805 Nephropedia Template TP {{tp|p=33302250|t=2021. COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey |pdf=|usr=}}{{33302250}} gab.com Text COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey JO: J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=33302250 #FOAvip BACKGROUND: Misinformation about COVID-19 is common and has been spreading rapidly across the globe through social media platforms and other information systems. Understanding what the public knows about COVID-19 and identifying beliefs based on misinformation can help shape effective public health communications to ensure efforts to reduce viral transmission are not undermined. OBJECTIVE: This study aimed to investigate the prevalence and factors associated with COVID-19 misinformation in Australia and their changes over time. METHODS: This prospective, longitudinal national survey was completed by adults (18 years and above) across April (n=4362), May (n=1882), and June (n=1369) 2020. RESULTS: Stronger agreement with misinformation was associated with younger age, male gender, lower education level, and language other than English spoken at home (P<.01 for all). After controlling for these variables, misinformation beliefs were significantly associated (P<.001) with lower levels of digital health literacy, perceived threat of COVID-19, confidence in government, and trust in scientific institutions. Analyses of specific government-identified misinformation revealed 3 clusters: prevention (associated with male gender and younger age), causation (associated with lower education level and greater social disadvantage), and cure (associated with younger age). Lower institutional trust and greater rejection of official government accounts were associated with stronger agreement with COVID-19 misinformation. CONCLUSIONS: The findings of this study highlight important gaps in communication effectiveness, which must be addressed to ensure effective COVID-19 prevention. Twit Text FOAVip COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey ????J Med Internet Res http://www.kidney.de/pget.php?&tw=1&pmid=33302250 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33302250 #FOAvip English Wikipedia <ref>{{Cite pmid|33302250}}</ref> COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey #MMPMID33302250 Pickles K; Cvejic E; Nickel B; Copp T; Bonner C; Leask J; Ayre J; Batcup C; Cornell S; Dakin T; Dodd RH; Isautier JMJ; McCaffery KJ J Med Internet Res 2021[Jan]; 23 (1): e23805 PMID33302250show ga BACKGROUND: Misinformation about COVID-19 is common and has been spreading rapidly across the globe through social media platforms and other information systems. Understanding what the public knows about COVID-19 and identifying beliefs based on misinformation can help shape effective public health communications to ensure efforts to reduce viral transmission are not undermined. OBJECTIVE: This study aimed to investigate the prevalence and factors associated with COVID-19 misinformation in Australia and their changes over time. METHODS: This prospective, longitudinal national survey was completed by adults (18 years and above) across April (n=4362), May (n=1882), and June (n=1369) 2020. RESULTS: Stronger agreement with misinformation was associated with younger age, male gender, lower education level, and language other than English spoken at home (P<.01 for all). After controlling for these variables, misinformation beliefs were significantly associated (P<.001) with lower levels of digital health literacy, perceived threat of COVID-19, confidence in government, and trust in scientific institutions. Analyses of specific government-identified misinformation revealed 3 clusters: prevention (associated with male gender and younger age), causation (associated with lower education level and greater social disadvantage), and cure (associated with younger age). Lower institutional trust and greater rejection of official government accounts were associated with stronger agreement with COVID-19 misinformation. CONCLUSIONS: The findings of this study highlight important gaps in communication effectiveness, which must be addressed to ensure effective COVID-19 prevention. |*Attitude to Health/ethnology[MESH] |*COVID-19/psychology[MESH] |*Communication[MESH] |*Consumer Health Information[MESH] |*Social Media/statistics & numerical data[MESH] |Adult[MESH] |Australia[MESH] |Computer Literacy[MESH] |Female[MESH] |Health Literacy[MESH] |Humans[MESH] |Longitudinal Studies[MESH] |Male[MESH] |Multivariate Analysis[MESH] |SARS-CoV-2[MESH] |Socioeconomic Factors[MESH] |Surveys and Questionnaires[MESH]COVID-19 Misinformation Trends in Australia: Prospective Longitudinal (epmc).pdf DeepDyve Pubget Overpricing