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Individual and community resilience in natural disaster risks and pandemics (covid-19): risk and crisis communication

ABSTRACT: Civil Protection and disaster risk specific agencies legally responsible to enhance individual and community resilience, still utilize in their risk and crisis communication efforts, the “deficit model” even though its basic assumption and approach have been criticized. Recent studies indicate that information seeking behavior is not necessarily a measure of enhanced individual preparedness. A qualitative change from “blindly” following directions to practicing emergency planning and becoming your own disaster risk manager is required. For pandemics, the challenge is even more complicated due to their unique characteristics. Community based exercises (CBEx), a framework concept encompassing a variety of interactive activities, have recently started being utilized to develop resilience amongst citizens. Existing models of resilience can pinpoint to the required knowledge, skills and attitude. Research in the factors influencing behavioral change could offer new understanding of the interplay between cognitive and demographic drivers/factors of resilience. Such knowledge could be utilized for setting targeted objectives, developing appropriate activities and the corresponding training for the CBEx facilitators. Despite the importance of preparation, the current covid-19 crisis indicates that high levels of adaptive resilience can be displayed even in the absence of any risk communication effort beforehand by utilizing a pre-existing collective understanding of the system situation.

SUBMITTER: Katsikopoulos P

PROVIDER: S-EPMC7481542 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Project description:Rationale Due to lack of vaccine or cure, the COVID-19 pandemic presents a threat to all human beings, undermining people's basic sense of safety and increasing distress symptoms. Objective To investigate the extent to which individual resilience, well-being and demographic characteristics may predict two indicators of Coronavirus pandemic: distress symptoms and perceived danger. Method Two independent samples were employed: 1) 605 respondents recruited through an internet panel company; 2) 741 respondents recruited through social media, using snowball sampling. Both samples filled a structured online questionnaire. Correlations between psychological/demographic variables and distress and perceived danger were examined. Path analysis was conducted to identify predictive indicators of distress and perceived danger. Results Significant negative correlations were found between individual/community resilience and sense of danger (?0.220 and ?0.255 respectively; p < .001) and distress symptoms (- 0.398 and ?0.544 respectively; p < .001). Significant positive correlations were found between gender, community size, economic difficulties and sense of danger (0.192, 0.117 and 0.244 respectively; p < .001). Gender and economic difficulties also positively correlated with distress symptoms (0.130 and 0.214 respectively; p < .001). Path analysis revealed that all paths were significant (p < .008 to .001) except between family income and distress symptoms (p = .12). The seven predictors explained 20% of sense of danger variance and 34% the distress symptoms variance. The most highly predictive indicators were the two psychological characteristics, individual resilience, and well-being. Age, gender, community size, and economic difficulties due to COVID-19 further add to predicting distress, while community and national resilience do not. . Conclusions Individual resilience and well-being have been found as the first and foremost predictors of COVID-19 anxiety. Though both predictors are complex and may be influenced by many factors, given the potential return of COVID-19 threat and other future health pandemic threats to our world, we must rethink and develop ways to reinforce them. Highlights • Current study was conducted during a peak in the COVID-19 pandemic, 1st wave.• Two pandemic effects, distress symptoms and perceived danger, were examined.• Best pandemic effect psychological predictors: individual resilience well-being.• Best pandemic effect’ demographic predictors: age, gender, economic difficulties.• Community and national resilience did not significantly add to predictions.

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Individual and community resilience in natural disaster risks and pandemics (covid-19): risk and crisis communication

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