Influence of trust on two different risk perceptions as an affective and cognitive dimension during Middle East respiratory syndrome coronavirus (MERS-CoV) outbreak in South Korea: serial cross-sectional surveys

Jang, Won Mo; Kim, Un-Na; Jang, Deok Hyun; Jung, Hyemin; Cho, Sanghyun; Eun, Sang Jun; Lee, Jin Yong

Given that some hierarchy-specific trends in income level were observed only in the overall model of affective risk perception, these results were consistent with previous studies. [41] [42] [43] The location effect on risk perception also was evaluated in this study, but it was not clear the correlation with risk proximity and risk perception. 44 There were no significant differences in the proportions of those with risk perception according to the major socioeconomic characteristics (education, income level, occupation). It is necessary to further investigate the correlation with demographic factors and risk perception. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 F o r p e e r r e v i e w o n l y 18 This study, which used a serial cross-sectional study design had some limitations. First, the study used a cross-sectional study design. Thus, causal relations between personal characteristics and risk perceptions could not be determined-rather, it could only suggest their relevance. Second, this study could not evaluate the intensity of risk perception, because it only included questions focusing on whether or not participants recognized the risk at the different levels. It would be useful to evaluate risk perceptions of respondents qualitatively if questions about the circumstances and characteristics of risk perception were surveyed in future studies.