Economic evaluation of mental health effects of flooding using Bayesian networks

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dc.contributor.authorSedighi, Tabassom
dc.contributor.authorVarga, Liz
dc.contributor.authorHosseinian-Far, Amin
dc.contributor.authorDaneshkhah, Alireza
dc.date.accessioned2021-07-23T11:27:29Z
dc.date.available2021-07-23T11:27:29Z
dc.date.issued2021-07-13
dc.description.abstractThe appraisal of appropriate levels of investment for devising flooding mitigation and to support recovery interventions is a complex and challenging task. Evaluation must account for social, political, environmental and other conditions, such as flood state expectations and local priorities. The evaluation method should be able to quickly identify evolving investment needs as the incidence and magnitude of flood events continue to grow. Quantification is essential and must consider multiple direct and indirect effects on flood related outcomes. The method proposed is this study is a Bayesian network, which may be used ex-post for evaluation, but also ex-ante for future assessment, and near real-time for the reallocation of investment into interventions. The particular case we study is the effect of flood interventions upon mental health, which is a gap in current investment analyses. Natural events such as floods expose people to negative mental health disorders including anxiety, distress and post-traumatic stress disorder. Such outcomes can be mitigated or exacerbated not only by state funded interventions, but by individual and community skills and experience. Success is also dampened when vulnerable and previously exposed victims are affected. Current measures evaluate solely the effectiveness of interventions to reduce physical damage to people and assets. This paper contributes a design for a Bayesian network that exposes causal pathways and conditional probabilities between interventions and mental health outcomes as well as providing a tool that can readily indicate the level of investment needed in alternative interventions based on desired mental health outcomes.en_UK
dc.identifier.citationSedighi T, Varga L, Hosseinian-Far A, Daneshkhah A. (2021) Economic evaluation of mental health effects of flooding using Bayesian networks,.International Journal of Environmental Research and Public Health, Volume 18, Issue 14, July 2021, Article number 7467en_UK
dc.identifier.issn1661-7827
dc.identifier.urihttps://doi.org/10.3390/ijerph18147467
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/16932
dc.language.isoenen_UK
dc.publisherMDPIen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBayesian networken_UK
dc.subjectcost-effectiveness interventionen_UK
dc.subjectflood risk managementen_UK
dc.subjectmental health impactsen_UK
dc.subjectQALYen_UK
dc.titleEconomic evaluation of mental health effects of flooding using Bayesian networksen_UK
dc.typeArticleen_UK

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