Factors influencing risk perception during Public Health Emergencies of International Concern (PHEIC): a scoping review

Abstract The unknownness and dread potential of a risk event shapes its perceived risk. A public health emergency of international concern (PHEIC) declaration by the World Health Organisation (WHO) is a signal for such an event. Understanding perceived risk then shapes risk-avoiding behaviours, impo...

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Main Authors: Jason Dean-Chen Yin (Author), Juliana Nga-Man Lui (Author)
Format: Book
Published: BMC, 2024-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Jason Dean-Chen Yin  |e author 
700 1 0 |a Juliana Nga-Man Lui  |e author 
245 0 0 |a Factors influencing risk perception during Public Health Emergencies of International Concern (PHEIC): a scoping review 
260 |b BMC,   |c 2024-05-01T00:00:00Z. 
500 |a 10.1186/s12889-024-18832-z 
500 |a 1471-2458 
520 |a Abstract The unknownness and dread potential of a risk event shapes its perceived risk. A public health emergency of international concern (PHEIC) declaration by the World Health Organisation (WHO) is a signal for such an event. Understanding perceived risk then shapes risk-avoiding behaviours, important for health prevention. The review aims to consolidate the determinants of risk perception during a PHEIC, underscoring the need for grounding in context and theory. Studies published from 2010 until end-2020, searching PubMed, PsycINFO, MedlinePlus, PubPsych, and CINAHL, were included. Studies with only biological conceptualisations of risk, or no association to risk perception, were excluded. A total of 65 studies were included. Quality of the cross-sectional studies was assessed using Newcastle Ottawa Scale (NOS), yielding an average of 5.4 stars (out of 10). Factors were classified into three broad categories - individual, contextual, and media. Individual risk factors include emotions; beliefs, trust, and perceptions; immutable physical traits (sex, age, ethnicity); mutable traits (education, income, etc.); and knowledge, with no definitive correlation to risk perception. Contextual traits include pandemic experience, time, and location, with only time negatively correlated to risk perception. Media traits include exposure, attention, and framing of media, with no clear association to risk perception. One limitation is excluding a portion of COVID-19 studies due to censoring. Still, this lack of consensus highlights the need to better conceptualise "risk perception". Specifying the context and timing is also important since jurisdictions experience different outbreaks depending on outbreak histories. Using theories to ground risk perception research assists with these tasks. 
546 |a EN 
690 |a Risk perception 
690 |a Pandemics 
690 |a Scoping review 
690 |a PHEIC 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n BMC Public Health, Vol 24, Iss 1, Pp 1-31 (2024) 
787 0 |n https://doi.org/10.1186/s12889-024-18832-z 
787 0 |n https://doaj.org/toc/1471-2458 
856 4 1 |u https://doaj.org/article/3ed1c29829544e14a144f9a365d13a3f  |z Connect to this object online.