scholarly journals Paranoia and Belief Updating During a Crisis

Author(s):  
Praveen Suthaharan ◽  
Erin Reed ◽  
Pantelis Leptourgos ◽  
Joshua Kenney ◽  
Stefan Uddenberg ◽  
...  

The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, we investigate paranoia and belief updating in an online sample (N=1,010) in the United States of America (U.S.A). We demonstrate the pandemic increased individuals’ self-rated paranoia and rendered their task-based belief updating more erratic. Local lockdown and reopening policies, as well as culture more broadly, markedly influenced participants’ belief-updating: an early and sustained lockdown rendered people’s belief updating less capricious. Masks are clearly an effective public health measure against COVID-19. However, state-mandated mask wearing increased paranoia and induced more erratic behaviour. Remarkably, this was most evident in those states where adherence to mask wearing rules was poor but where rule following is typically more common. This paranoia may explain the lack of compliance with this simple and effective countermeasure. Computational analyses of participant behaviour suggested that people with higher paranoia expected the task to be more unstable, but at the same time predicted more rewards. In a follow-up study we found people who were more paranoid endorsed conspiracies about mask-wearing and potential vaccines – again, mask attitude and conspiratorial beliefs were associated with erratic task behaviour and changed priors. Future public health responses to the pandemic might leverage these observations, mollifying paranoia and increasing adherence by tempering people’s expectations of other’s behaviour, and the environment more broadly, and reinforcing compliance.

2021 ◽  
Author(s):  
Praveen Suthaharan ◽  
Erin Reed ◽  
Pantelis Leptourgos ◽  
Joshua Kenney ◽  
Stefan Uddenberg ◽  
...  

Abstract The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, we investigate paranoia and belief updating in an online sample (N=1,010) in the United States of America (U.S.A). We demonstrate the pandemic increased individuals’ self-rated paranoia and rendered their task-based belief updating more erratic. Local lockdown and reopening policies, as well as culture more broadly, markedly influenced participants’ belief-updating: an early and sustained lockdown rendered people’s belief updating less capricious. Masks are clearly an effective public health measure against COVID-19. However, state-mandated mask wearing increased paranoia and induced more erratic behaviour. Remarkably, this was most evident in those states where adherence to mask wearing rules was poor but where rule following is typically more common. This paranoia may explain the lack of compliance with this simple and effective countermeasure. Computational analyses of participant behaviour suggested that people with higher paranoia expected the task to be more unstable, but at the same time predicted more rewards. In a follow-up study we found people who were more paranoid endorsed conspiracies about mask-wearing and potential vaccines – again, mask attitude and conspiratorial beliefs were associated with erratic task behaviour and changed priors. Future public health responses to the pandemic might leverage these observations, mollifying paranoia and increasing adherence by tempering people’s expectations of other’s behaviour, and the environment more broadly, and reinforcing compliance.


2020 ◽  
Author(s):  
Kwok Wang Chun ◽  
Wong Chun Ka ◽  
Ma Ting Fung ◽  
Ho Ka Wai ◽  
Fan Wai Tong Louis ◽  
...  

AbstractBackgroundCoronavirus Disease 2019 (COVID-19) led to pandemic that affected almost all countries in the world. Many countries have implemented border restriction as a public health measure to limit local outbreak. However, there is inadequate scientific data to support such a practice, especially in the presence of an established local transmission of the disease.MethodA novel metapopulation Susceptible-Exposed-Infectious-Recovered (SEIR) model with inspected migration was applied to investigate the effect of border restriction between Hong Kong and mainland China on the epidemiological characteristics of COVID-19 in Hong Kong. Isolation facilities occupancy was also studied.ResultsAt R0 of 2·2, the cumulative COVID-19 cases in Hong Kong can be reduced by 13·99% (from 29,163 to 25,084) with complete border closure. At an in-patient mortality of 1·4%, the number of deaths can be reduced from 408 to 351 (57 lives saved). However, border closure alone was insufficient to prevent full occupancy of isolation facilities in Hong Kong; effective public health measures to reduce local R0 to below 1·6 was necessary.ConclusionAs a public health measure to tackle COVID-19, border restriction is effective in reducing cumulative cases and mortality.Article summaryStrengths and limitations of this studyA novel metapopulation SEIR model with inspected migration was developed to investigate the epidemiological characteristics of COVID-19 in Hong Kong, Guangdong and the rest of China (excluding Hubei) in the presence or absence of border restriction.The presented model is also suitable for further analysis of other emerging infectious diseases.Border restriction is an effective public health measure in reducing cumulative cases and mortality for COVID-19.Interaction was assumed to be well-mixed within patch. The spatial effect in disease transmission within each patch is ignored, which can have a non-trivial effect on the dynamic of infectious disease.The proposed model is deterministic in nature which ignores the randomness in migration and in the interactions among people; a stochastic model would be more realistic especially early in the disease.


2012 ◽  
Vol 23 (1) ◽  
pp. 152-157 ◽  
Author(s):  
M. Linden-Bostrom ◽  
C. Persson

2017 ◽  
Vol 5 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Brian J Morris ◽  
John N Krieger ◽  
Jeffrey D Klausner

2022 ◽  
pp. 133-136
Author(s):  
Laila Woc-Colburn ◽  
Daniel Godinez

2021 ◽  
Vol 11 (S1) ◽  
Author(s):  
Aaron Rosenfeld

An initial public health measure enacted in response to the COVID-19 pandemic was the closure of schools.[1] This action was motivated by previous observations regarding school closure and prevention of pandemic flu transmission.[2,3] In response to periodic school closure, many schools in Ontario have adopted a hybrid model of schooling with both in-person and remote learning. However, due to the emerging SARS-CoV-2 variants, considerable concern has been raised regarding in-person learning.[4,5] This is an important discussion to have as additional variants and waves are likely to arise, and school closure poses a substantial burden to the well-being of children —especially those from marginalized populations.


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