The role of risk perception in reducing cholera vulnerability

Williams, Lorraine; Collins, Andrew; Bauaze, Alberto; Edgeworth, Ross

doi:10.1057/rm.2010.1

Cited by 19 publications

(14 citation statements)

References 54 publications

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“…Perceiving the risk of an infectious disease may trigger behavioral change, as during the 2003 SARS epidemic [4]. Gathering information and experience through multiple sources is essential for increasing disease risk awareness about the disease and taking protective measures [5]. To help prevent epidemics, we need advanced tools that identify the factors that help spread of information about life-threatening diseases and that change individual behavior to curbs the diffusion of disease.…”

Section: Introductionmentioning

confidence: 99%

Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning

et al. 2020

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Modern societies are exposed to a myriad of risks ranging from disease to natural hazards and technological disruptions. Exploring how the awareness of risk spreads and how it triggers a diffusion of coping strategies is prominent in the research agenda of various domains. It requires a deep understanding of how individuals perceive risks and communicate about the effectiveness of protective measures, highlighting learning and social interaction as the core mechanisms driving such processes. Methodological approaches that range from purely physics-based diffusion models to data-driven environmental methods rely on agentbased modeling to accommodate context-dependent learning and social interactions in a diffusion process. Mixing agent-based modeling with data-driven machine learning has become popularity. However, little attention has been paid to the role of intelligent learning in risk appraisal and protective decisions, whether used in an individual or a collective process. The differences between collective learning and individual learning have not been sufficiently explored in diffusion modeling in general and in agent-based models of socioenvironmental systems in particular. To address this research gap, we explored the implications of intelligent learning on the gradient from individual to collective learning, using an agent-based model enhanced by machine learning. Our simulation experiments showed that individual intelligent judgement about risks and the selection of coping strategies by groups with majority votes were outperformed by leader-based groups and even individuals deciding alone. Social interactions appeared essential for both individual learning and group learning. The choice of how to represent social learning in an agent-based model could be driven by existing cultural and social norms prevalent in a modeled society.

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Section: Introductionmentioning

confidence: 99%

Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning

et al. 2020

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“…El riesgo percibido es un fenómeno psicosocial relacionado con las creencias de salud que implica la evaluación subjetiva de que ocurra un evento o accidente y la preocupación de las personas por las consecuencias (11). In-volucra evaluar la probabilidad de que ocurra y los efectos de obtener un resultado negativo, ya que, aunque todos voluntariamente asumimos riesgos, también buscamos reducir la vulnerabilidad ante estos (12).…”

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Severidad, susceptibilidad y normas sociales percibidas como antecedentes de la intención de vacunarse contra COVID-19

Cavazos‐Arroyo

Herrero

2020

Rev. salud pública

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Objetivo Evaluar el efecto del riesgo y las normas sociales percibidos sobre la COVID-19 y sobre la intención de vacunarse si se contara con una vacuna para prevenir la infección.Métodos Se desarrolló una investigación cuantitativa, explicativa y con diseño transversal. Los datos se recopilaron mediante un cuestionario estructurado aplicado de manera electrónica a habitantes de más de 18 años de edad en el estado de Puebla, en México. Se utilizó un análisis con ecuaciones estructurales para identificar los efectos entre las variables estudiadas.Resultados Tanto la severidad como la susceptibilidad percibidas al contraer COVID-19 tuvieron un efecto positivo sobre las normas sociales percibidas sobre el virus. Mientras la severidad percibida tuvo un efecto positivo sobre la intención de vacunarse, la susceptibilidad percibida resultó no significativa sobre la intención de vacunarse contra COVID-19.Conclusiones La intención de vacunarse contra COVID-19 es afectada por la severidad y las normas sociales percibidas por contraer la infección. Sin embargo, la susceptibilidad percibida ante el virus no tiene un efecto sobre la intención de vacunarse.

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“…The research tools and engagement processes varied depending on the identified demand for risk reduction for survivability and well-being. An infectious disease risk reduction project in Mozambique and Bangladesh involving tens of thousands of people caught up in epidemics progressed through integrating community driven infectious disease risk monitoring alongside adapted community and government led responses (Collins et al 2006;Williams et al 2010). A further example was borne out by a community driven natural resources risk mitigation and development project in the upper Zambezi region of Zimbabwe.…”

Section: Disaster and Development As Common Sensementioning

confidence: 99%

Advancing the Disaster and Development Paradigm

Collins

2018

Int J Disaster Risk Sci

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Consolidation of disaster and development studies as an integrated field of action research that influences policy has proved to be fundamental to global disaster risk reduction, sustainable development, climate change, and humanitarian agreements. However, challenges in achieving targets, such as those of the Sendai Framework for Disaster Risk Reduction 2015-2030 and the Sustainable Development Goals, requires further advances of the disaster and development paradigm underpinning these aspirations. This article presents perspectives that grew primarily from local action research, particularly research carried out with marginalized and highly at-risk groups of people in Southern Africa and South Asia. Analytical fronts from these findings emphasize disaster and development risk assessment opportunities that consolidate earlier ideas and extend understanding of disaster and development-related risk intervention options. These acknowledge severe shortcomings in disaster risk reduction progress while including greater use of hope as an active ingredient. This process of paradigm exploration remains fundamental to achieving disaster risk reduction, sustainable development, and associated policy objectives. The analysis presented here reiterates earlier groundings in people-centric perspectives, emphasizing social relations and systems of meaning as essential active ingredients for challenging power structures, technology, education, and human behavior. The analysis proposes some consequent thematic fronts for increased investment. These include investing in early buildup of well-being before a disaster, better living with uncertainty, and overcoming the barriers to desired disaster and development outcomes. The article is intended to contribute to an ever-evolving paradigm of disaster and development risk that requires impetus from personal and collective values beyond calculations of disaster and development.

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The role of risk perception in reducing cholera vulnerability

Cited by 19 publications

References 54 publications

Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning

Risk perception and behavioral change during epidemics: Comparing models of individual and collective learning

Severidad, susceptibilidad y normas sociales percibidas como antecedentes de la intención de vacunarse contra COVID-19

Advancing the Disaster and Development Paradigm

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