scholarly journals Geographic variability of post-disaster mental health: case study after the 2017 flood in Bangladesh

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Khandakar Hasan Mahmud ◽  
Raju Ahmed ◽  
Jannatun Hussna Tuya
Keyword(s):  
Mental Health ◽  
Spatial Distribution ◽  
Posttraumatic Stress ◽  
Disaster Management ◽  
Psychological Aspects ◽  
Disaster Mental Health ◽  
Psychological Dimension ◽  
Psychological Vulnerability ◽  
The Government ◽  
Post Disaster

Every year Bangladesh faces enormous damages due to flooding. Facing these damages the Government adopts various recovery approaches. However, the psychological dimension of any disaster is generally overlooked in disaster management. Researchers have found that the spatial distribution of post-disaster mental health can help the authorities to apply recovery procedures where they are most needed. For this research, Posttraumatic Stress Checklist (PCL-5), Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to estimate posttraumatic stress, major depressive disorder and anxiety following three episodes of severe floods in 2017 that affected at least 8 million people. To better understand the spatial pattern of psychological vulnerability and reach a comprehensive scenario of post-disaster mental health, Moran’s I was applied for spatial autocorrelation and Pearson’s correlation and regression analysis for a study of the relationship between the psychological aspects. It was found that psychological vulnerability showed a spatial clustering pattern and that there was a strong positive linear relationship among psychological aspects in the study area. This research might help to adopt disaster management policies that consider the psychological dimension and spatial distribution of various psychological aspects to identify areas characterized by high vulnerability and risk so that they can be reached without delay.

Social organizational stressors and post-disaster mental health disturbances: A longitudinal study

2014 ◽  
Vol 219 (1) ◽  
pp. 177-182 ◽  
Author(s):  
Peter G. van der Velden ◽  
Mark W.G. Bosmans ◽  
Stefan Bogaerts ◽  
Marc J.P.M. van Veldhoven
Keyword(s):  
Mental Health ◽  
Longitudinal Study ◽  
Disaster Mental Health ◽  
Organizational Stressors ◽  
Social Organizational ◽  
Post Disaster

scholarly journals “We can help ourselves”: does community resilience buffer against the negative impact of flooding on mental health?

2019 ◽  
Vol 19 (11) ◽  
pp. 2371-2384 ◽  
Author(s):  
Torsten Masson ◽  
Sebastian Bamberg ◽  
Michael Stricker ◽  
Anna Heidenreich
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Negative Impact ◽  
Negative Relationship ◽  
Community Resilience ◽  
Disaster Mental Health ◽  
Stress Buffering ◽  
Buffering Effect ◽  
The Relationship ◽  
Post Disaster

Abstract. Empirical evidence of the relationship between social support and post-disaster mental health provides support for a general beneficial effect of social support (main-effect model; Wheaton, 1985). From a theoretical perspective, a buffering effect of social support on the negative relationship between disaster-related stress and mental health also seems plausible (stress-buffering model; Wheaton, 1985). Previous studies, however, (a) have paid less attention to the buffering effect of social support and (b) have mainly relied on interpersonal support (but not collective-level support such as community resilience) when investigating this issue. This previous work might have underestimated the effect of support on post-disaster mental health. Building on a sample of residents in Germany recently affected by flooding (N=118), we show that community resilience to flooding (but not general interpersonal social support) buffered against the negative effects of flooding on post-disaster mental health. The results support the stress-buffering model and call for a more detailed look at the relationship between support and resilience and post-disaster adjustment, including collective-level variables.

Using Ethnographic Methods in the Selection of Post-Disaster, Mental Health Interventions

2004 ◽  
Vol 19 (1) ◽  
pp. 97-101 ◽  
Author(s):  
Paul Bolton ◽  
Alice M. Tang
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Community Support ◽  
Ethnographic Study ◽  
Health Interventions ◽  
Disaster Mental Health ◽  
Study Approach ◽  
Mental Health Interventions ◽  
Post Disaster ◽  
Selection Of

AbstractThis paper describes a short, ethnographic study approach for understanding how people from non-Western cultures think about mental health and mental health problems, and the rationale for using such an approach in designing and implementing mental health interventions during and after disasters. It describes how the resulting data can contribute to interventions that are more acceptable to local people, and therefore, more effective and sustainable through improved community support.

scholarly journals Sample and design considerations in post-disaster mental health needs assessment tracking surveys

2008 ◽  
Vol 17 (S2) ◽  
pp. S6-S20 ◽  
Author(s):  
Ronald C. Kessler ◽  
Terence M. Keane ◽  
Robert J. Ursano ◽  
Ali Mokdad ◽  
Alan M. Zaslavsky
Keyword(s):  
Mental Health ◽  
Needs Assessment ◽  
Health Needs ◽  
Disaster Mental Health ◽  
Mental Health Needs ◽  
Health Needs Assessment ◽  
Design Considerations ◽  
Post Disaster

scholarly journals Differences in post-disaster mental health among Vietnamese and African Americans living in adjacent urban communities flooded by Katrina

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0255303
Author(s):  
Mengxi Zhang ◽  
Mark VanLandingham ◽  
Yoon Soo Park ◽  
Philip Anglewicz ◽  
David M. Abramson
Keyword(s):  
Mental Health ◽  
African American ◽  
African Americans ◽  
Hurricane Katrina ◽  
New Orleans ◽  
Housing Stock ◽  
Short Form ◽  
Vietnamese Americans ◽  
Disaster Mental Health ◽  
Post Disaster

Some communities recover more quickly after a disaster than others. Some differentials in recovery are explained by variation in the level of disaster-related community damage and differences in pre-disaster community characteristics, e.g., the quality of housing stock. But distinct communities that are similar on the above characteristics may experience different recovery trajectories, and, if so, these different trajectories must be due to more subtle differences among them. Our principal objective is to assess short-term and long-term post-disaster mental health for Vietnamese and African Americans living in two adjacent communities in eastern New Orleans that were similarly flooded by Hurricane Katrina. We employ data from two population-based cohort studies that include a sample of African American adults (the Gulf Coast Child and Family Health [GCAFH study]) and a sample of Vietnamese American adults (Katrina Impacts on Vietnamese Americans [KATIVA NOLA study]) living in adjacent neighborhoods in eastern New Orleans who were assessed near the second and thirteenth anniversaries of the disaster. Using the 12-Item Short Form Survey (SF-12) as the basis of our outcome measure, we find in multivariate analysis a significant advantage in post-disaster mental health for Vietnamese Americans over their African American counterparts at the two-year mark, but that this advantage had disappeared by the thirteenth anniversary of the Katrina disaster.

Social media in aid of post disaster management

2020 ◽  
Vol 14 (2) ◽  
pp. 237-260 ◽  
Author(s):  
Ajree Ducol Malawani ◽  
Achmad Nurmandi ◽  
Eko Priyo Purnomo ◽  
Taufiqur Rahman
Keyword(s):  
Social Media ◽  
Big Data ◽  
Content Analysis ◽  
Disaster Management ◽  
Practical Implication ◽  
Legal Framework ◽  
Topic Modelling ◽  
Content Type ◽  
The Government ◽  
Post Disaster

Purpose This paper aims to examine tweet posts regarding Typhoon Washi to contend the usefulness of social media and big data as an aid of post-disaster management. Through topic modelling and content analysis, this study examines the priorities of the victims expressed in Twitter and how the priorities changed over a year. Design/methodology/approach Social media, particularly Twitter, was where the data gathered. Using big data technology, the gathered data were processed and analysed according to the objectives of the study. Topic modelling was used in clustering words from different topics. Clustered words were then used for content analysis in determining the needs of the victims. Word frequency count was also used in determining what words were repeatedly used during the course period. To validate the gathered data online, government documents were requested and concerned government agencies were also interviewed. Finding Findings of this study argue that housing and relief goods have been the top priorities of the victims. Victims are seeking relief goods, especially when they are in evacuation centres. Also, the lack of legal basis hinders government officials from integrating social media information unto policymaking. Research limitation This study only reports Twitter posts containing keywords either, Sendong, SendongPH, Washi or TyphoonWashi. The keywords were determined based on the words that trended after Typhoon Washi struck. Practical implication For social media and big data to be adoptable and efficacious, supporting and facilitating conditions are necessary. Structural, technical and financial support, as well as legal framework, should be in place. Maintaining and sustaining positive attitude towards it should be taken care of. Originality/value Although many studies have been conducted on the usefulness of social media in times of disaster, many of these focused on the use of social media as medium that can efficiently spread information, and little has been done on how the government can use both social media and big data in collecting and analysing the needs of the victims. This study fills those gaps in social big data literature.

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