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Social media trust predicts lower COVID-19 vaccination rates and higher excess mortality over 2 years.

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Title: Social media trust predicts lower COVID-19 vaccination rates and higher excess mortality over 2 years.
Authors: Chen SX; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Ye FT; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Cheng KL; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Ng JCK; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Lam BCP; Department of Psychology, Counselling and Therapy, La Trobe University, Melbourne, Australia., Hui BPH; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Au AKY; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Wu WCH; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China., Gu D; Independent Researcher, New York, USA., Zeng Y; National School of Development, Peking University, Beijing, China.
Source: PNAS nexus [PNAS Nexus] 2023 Oct 04; Vol. 2 (10), pp. pgad318. Date of Electronic Publication: 2023 Oct 04 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the National Academy of Sciences Country of Publication: England NLM ID: 9918367777906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2752-6542 (Electronic) Linking ISSN: 27526542 NLM ISO Abbreviation: PNAS Nexus Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Social media trust predicts lower COVID-19 vaccination rates and higher excess mortality over 2 years.
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  Data: <searchLink fieldCode="AU" term="%22Chen+SX%22">Chen SX</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ye+FT%22">Ye FT</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Cheng+KL%22">Cheng KL</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Ng+JCK%22">Ng JCK</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Lam+BCP%22">Lam BCP</searchLink>; Department of Psychology, Counselling and Therapy, La Trobe University, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Hui+BPH%22">Hui BPH</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Au+AKY%22">Au AKY</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Wu+WCH%22">Wu WCH</searchLink>; Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong, China.<br /><searchLink fieldCode="AU" term="%22Gu+D%22">Gu D</searchLink>; Independent Researcher, New York, USA.<br /><searchLink fieldCode="AU" term="%22Zeng+Y%22">Zeng Y</searchLink>; National School of Development, Peking University, Beijing, China.
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  Data: <searchLink fieldCode="JN" term="%229918367777906676%22">PNAS nexus</searchLink> [PNAS Nexus] 2023 Oct 04; Vol. 2 (10), pp. pgad318. <i>Date of Electronic Publication: </i>2023 Oct 04 (<i>Print Publication: </i>2023).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press+on+behalf+of+the+National+Academy+of+Sciences%22">Oxford University Press on behalf of the National Academy of Sciences </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918367777906676 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2752-6542 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227526542%22">27526542 </searchLink><i>NLM ISO Abbreviation: </i>PNAS Nexus <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1093/pnasnexus/pgad318
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        Text: English
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              Text: 2023 Oct 04
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