The Mental and Physical Human Health Impacts of Residential Basement Flooding and Associated Financial Costs: Interviews with Households in Southern Ontario, Canada
Notice bibliographique
Résumé
This thesis summarizes primary research conducted on the mental and physical health impacts associated with residential basement flooding and their associated financial costs (e.g. days off work, visits to health services, medication use). This thesis focuses on residential basement flooding because flooding has become the costliest of all extreme weather events in Canada, as it increases in frequency and severity. The three research questions of this thesis are: \n1.\tWhat are the short-term and long-term mental and physical health impacts associated with residential basement flooding? \n2.\tWhat are the attributes affecting vulnerability to identified health impacts? \n3.\tWhat are the mental and physical health financial costs associated with residential basement flooding? \nThis author interviewed 100 residents in flood-impacted neighbourhoods in Burlington, Ontario, a city where over 3,500 homes were flooded in August 2014 (Conservation Halton, 2015). The author interviewed 58 residents, who had experienced basement flooding, in reference to health impacts realized within the first 30 days of flooding, and those realized anytime after those first 30 days. A total of 42 residents who lived in the same neighbourhood but had not experienced flooding in their home formed the control, and the author interviewed them in reference to specific health impacts realized in the last three years since flooding. \n \nIn response to the first research question, the thesis found that there were significant mental health impacts (increased worry and stress) realized both in the first 30 days of experiencing flooding and approximately three years later. This suggests that there are both short-term and long-term mental health impacts associated with residential basement flooding. \n \nIn response to the second research question, there were several attributes identified in this study that significantly correlated with higher worry and stress. These attributes included age (adults and seniors from flooded households exhibited higher worry and stress than adults and seniors in the control), water height, difficulty contacting an insurance provider, and worsening of existing health issues. \n \nIn response to the third research question, the study found that over half (56%) of flooded households that had at least one working member (n=25) took time off work, and the average time off work was seven person days per household. This is substantially higher than the average for Ontario in 2014 (<1 day), suggesting that residential basement flooding significantly affects productivity for workers. Almost half (49%) of flooded households did not have full property and casualty insurance coverage. \nAdditional research could build on this study through examination of medical data and health claims in flood-impacted communities to further explore financial costs resulting from the health impacts of flooding. Additional research in another community with a different socio-economic background could help to determine the breadth of applicability of the study findings. \n \nThis thesis provides insight into the real worry, stress and financial impact that flooding can cause for households. As flooding increases in frequency and severity (Insurance Bureau of Canada, 2017a), this thesis provides additional urgency and rationale to implement flood mitigation measures in Canada to secure homeowners’ peace of mind and reduce financial costs that otherwise may escalate in the years to come.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,018 | 0,003 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».