{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T19:38:09Z","timestamp":1790710689891,"version":"4.1.0"},"reference-count":56,"publisher":"PAGEPress Publications","issue":"2","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geospat Health"],"abstract":"<jats:p>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\u2019s I was applied for spatial autocorrelation and Pearson\u2019s 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.<\/jats:p>","DOI":"10.4081\/gh.2021.1018","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T11:29:04Z","timestamp":1635420544000},"source":"Crossref","is-referenced-by-count":10,"title":["Geographic variability of post-disaster mental health: case study after the 2017 flood in Bangladesh"],"prefix":"10.4081","volume":"16","author":[{"given":"Khandakar Hasan","family":"Mahmud","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raju","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1111-9413","authenticated-orcid":false,"given":"Jannatun Hussna","family":"Tuya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2549","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"4205","doi-asserted-by":"crossref","unstructured":"Agaibi CE, Wilson JP, 2005. 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