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Good news reduces trust in government and its efficacy: The case of the Pfizer/BioNTech vaccine announcement.

ABSTRACT: The announcement of Pfizer/BioNTech's COVID-19 vaccine success on November 9, 2020 led to a global stock market surge. But how did the general public respond to such good news? We leverage the unexpected vaccine announcement to assess the effect of good news on citizens' government evaluations, anxiety, beliefs and elicited behaviors in the US and the UK. While most outcomes were unaffected by the news, trust in government and elected politicians (and their competency) saw a significant decline in both countries. As the news did not concern the governments, and the governments did not have time to act on the news, our results suggest that the decline of trust is more likely explained by the psychological impact of good news on reasoning style. In particular, we suggest two possible styles of reasoning that might explain our results: a form of motivated reasoning and a reasoning heuristic of relative comparison.

SUBMITTER: Hargreaves Heap SP

PROVIDER: S-EPMC8659308 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:The Pfizer-BioNTech coronavirus disease 2019 (COVID-19) vaccine has been offered to nonallergic ≥16-year-old Israeli adults since December 19, 2020. Data regarding factors associated with vaccine ineffectiveness are limited. The aim of this study is to assess the impact of hepatic fibrosis on the efficacy of the BioNTech vaccine. Serum severe acute respiratory syndrome coronavirus 2 spike immunoglobulins (S IgG) obtained at least 7 days following vaccination completion was correlated with the prevaccine calculated Fibrosis-4 (FIB-4) score among 719 employees in the Hadassah Medical Center, Jerusalem. Positive vaccine response (S IgG levels ≥ 19 AU/mL) was found in 708 of 719 individuals (98.5%). Vaccine failure (S IgG levels < 19) was found in 11 (1.5%); of these, 7 were immunosuppressed. Mean FIB-4 available in 501 of 708 vaccine responders was 1.13 ± 0.66, mean age 51.4 ± 12.4 years (29.3% males), and mean S IgG titers 239.7 ± 86.1 AU/mL. Similar to the general population, 70.5% had normal FIB-4 (<1.3), 26.8% undetermined FIB-4 (1.3-2.67), and 2.7% advanced FIB-4 (>2.67). When divided into response subgroups, 158 of 501 individuals (30.1%) with IgG titers 19-100 AU/mL had a mean FIB-4 of 1.48 ± 0.82; 198 (39.5%) with IgG titers 101-200 AU/mL had mean FIB-4 of 1.22 ± 0.76; 83 (16.6%) with titers 201-300 AU/mL had mean FIB-4 of 1.04 ± 0.48; 38 (7.6%) individuals with IgG titers 301-400 AU/ml had a mean FIB-4 of 1.08 ± 0.63; and 121 (24.2%) with IgG titers >400 AU/mL had mean FIB-4 of 1.18 ± 0.87. Increased FIB-4, age, and male gender significantly correlated with lower postvaccine IgG titers (P < 0.001). FIB-4 results were confirmed using FibroScan data displaying advanced fibrosis impact on weakened COVID-19 vaccine response. Conclusion: Immune suppression, older age, male gender, and advanced chronic liver disease are risk factors for lower vaccine response. The FIB-4 provides a simple tool to prioritize candidates for third-dose vaccine booster.

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Good news reduces trust in government and its efficacy: The case of the Pfizer/BioNTech vaccine announcement.

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