Cyclone-Disaster Preparedness in Fishing Community: A Study on Shah Porir Dwip, Bangladesh DOI
Md. Mostafizur Rahman,

Jinat Ara Nasrin,

Ifta Alam Shobuj

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер unknown, С. 105100 - 105100

Опубликована: Дек. 1, 2024

Язык: Английский

Impact of extreme weather events on mental health in South and Southeast Asia: A two decades of systematic review of observational studies DOI
Muhammad Mainuddin Patwary, Mondira Bardhan, M Atiqul Haque

и другие.

Environmental Research, Год журнала: 2024, Номер 250, С. 118436 - 118436

Опубликована: Фев. 12, 2024

Язык: Английский

Процитировано

17

“Not enough”: A qualitative analysis of community perceptions of neighborhood government flood management plans using the case of Houston, Texas DOI Creative Commons
Nicole Hart, Kathryn Freeman Anderson, Hanadi S. Rifai

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 104, С. 104354 - 104354

Опубликована: Фев. 23, 2024

Язык: Английский

Процитировано

4

A Critical Review of Emerging Technologies for Flash Flood Prediction: Examining Artificial Intelligence, Machine Learning, Internet of Things, Cloud Computing, and Robotics Techniques DOI Open Access
Ghazi Al-Rawas, Mohammad Reza Nikoo, Malik Al-Wardy

и другие.

Water, Год журнала: 2024, Номер 16(14), С. 2069 - 2069

Опубликована: Июль 22, 2024

There has been growing interest in the application of smart technologies for hazard management. However, very limited studies have reviewed trends such context flash floods. This study reviews innovative as artificial intelligence (AI)/machine learning (ML), Internet Things (IoT), cloud computing, and robotics used flood early warnings susceptibility predictions. Articles published between 2010 2023 were manually collected from scientific databases Google Scholar, Scopus, Web Science. Based on review, AI/ML applied to warning prediction 64% papers, followed by IoT (19%), computing (6%), (2%). Among most common methods predictions are random forests support vector machines. further optimization emerging technologies, computer vision, required improve these technologies. algorithms demonstrated accurate performance, with receiver operating characteristics (ROC) areas under curve (AUC) greater than 0.90. there is a need current models large test datasets. Through AI/ML, IoT, can be disseminated targeted communities real time via electronic media, SMS social media platforms. In spite this, systems issues internet connectivity, well data loss. Additionally, Al/ML number topographical variables (such slope), geological lithology), hydrological stream density) predict susceptibility, but selection lacks clear theoretical basis inconsistencies. To generate more reliable risk assessment maps, future should also consider sociodemographic, health, housing data. Considering climate change impacts, or may projected different scenarios help design long-term adaptation strategies.

Язык: Английский

Процитировано

4

Assessment of gendered vulnerability, climate change awareness, and resilience patterns among coastal women regarding urban flooding disasters in Bozkurt, Türkiye DOI

Gamze DOGDU. YUCETURK

International Journal of Disaster Risk Reduction, Год журнала: 2025, Номер unknown, С. 105380 - 105380

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Flood impact on men’s mental health: evidence from flood-prone areas of Bangladesh DOI Creative Commons
Md. Mostafizur Rahman, Ifta Alam Shobuj, Md. Tanvir Hossain

и другие.

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Апрель 3, 2025

Disasters can pose significant risks to mental health, often resulting in both temporary and long-lasting psychological distress. This study explores the impact of floods on health. A survey was conducted shortly after 2022 flash flood, which 452 male participants from Ajmiriganj Dharmapasha Upazilas Bangladesh were surveyed. Mental health assessed using DASS-21 instrument, we examined variables associated with issues. Descriptive statistics multiple linear regression analysis employed. Around 47% reported severe or extremely depression, 41% anxiety, 36% stress. Factors such as age, marital status, type home, occupation, flood safety rating, property loss during all found be depression. Anxiety linked safety, housing type, education level, status. Additionally, anxiety-related also issues more prevalent among older, married, illiterate living kacha (temporary) housing, well agricultural workers fishers low ratings. Psychological interventions disaster risk reduction strategies could help mitigate floods. The findings this have important implications for global management public

Язык: Английский

Процитировано

0

Climate Change and Mental Health in Bangladesh: Vulnerability, Inequality, and the Crucial Need for Intervention on the Frontlines of the Climate Crisis DOI
Syed Shabab Wahid, Md. Nurul Islam, Wameq A. Raza

и другие.

Опубликована: Янв. 1, 2024

Climate-vulnerable countries such as Bangladesh will experience disproportionate impacts on health and well-being climate change continues to worsen over the upcoming decades. The country's unique geographic location climactic conditions make it highly vulnerable effects of change—drought, floods, sea water rise, land inundation salt intrusion, extreme temperatures humidity, heatwaves, cyclones, all comprise a constellation critical risk factors that threaten mental Bangladeshi populations. There have been observed depression, anxiety, post-traumatic stress disorder, suicidality, substance abuse, result. Climate is poised exacerbate existing vulnerabilities outcomes for all, but especially already disadvantaged populations, poorer women, migrants. Community driven solutions are emerging there has progress adaptation policies. However, need continued focus holistic policy, interventions, research, fully understand respond issue safeguard millions citizens living in precarious frontlines change.

Язык: Английский

Процитировано

3

Flood preparedness in rural flood-prone area: a holistic assessment approach in Bangladesh DOI Creative Commons
Md. Mostafizur Rahman, Ifta Alam Shobuj, M. R. Islam

и другие.

Geomatics Natural Hazards and Risk, Год журнала: 2024, Номер 15(1)

Опубликована: Июль 21, 2024

Despite the many fatalities and injuries, Bangladesh lacks holistic individual flood preparedness studies. This study evaluates in flood-prone rural region of Dowarabazar Upazila, Sunamganj District, Bangladesh. The field survey had 596 respondents. As required, we implemented Spearman's rank correlation multiple linear regression. Flooding affected population, which made people feel extremely unsafe. Most respondents warned that floods might affect their homes. Many participants reported receiving flood-related information from locals. not being notified forecasts warnings area. majority indicated they sought refuge shelters. A significant portion were unaware preparedness. Loss minimization adaptability are deficiencies. Concerning preparedness, gender, age, occupation, monthly income, sources house type all determinants. According to research, females less prepared for flooding than males. Individuals with pucca housing better equipped those unsafe (kacha). Authorities should thus take these factors into account while enhancing In addition implementing measures such as improving livelihood patterns conducting educational campaigns, it is imperative construct

Язык: Английский

Процитировано

3

Climate Risk and Vulnerability Assessment in Informal Settlements of the Global South: A Critical Review DOI Creative Commons
Emal Ahmad Hussainzad, Zhonghua Gou

Land, Год журнала: 2024, Номер 13(9), С. 1357 - 1357

Опубликована: Авг. 25, 2024

This study investigated the climatic risks and vulnerabilities of informal settlements in Global South, as well extent to which these impact vulnerabilities. Using Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) 2009 methodology deductive content analysis, this critically examined 69 documents, including 28 scholarly journal articles obtained from Scopus ScienceDirect 41 web-based releases identified through Google search engine snowballing technique. Document inclusion criteria focused on relevance climate vulnerabilities, excluding non-peer-reviewed, non-English, unreliable sources, irrelevant studies. Seven major impacting were identified: floods (44), temperature changes (41), storms (31), sea level rise (30), drought (28), rainfall (23), landslides (14). The primary highlighted poor housing conditions (64), health (50), lack basic services (49), inadequate sanitation hygiene (39), limited access water (38). combination creates considerable direct, indirect, low-level threats settlements. Despite Asia, Africa, Latin America’s vulnerability, most studies formal developed areas. findings highlight critical need adaptation strategies South ensure United Nations Sustainable Development Goals (SDGs) are met.

Язык: Английский

Процитировано

3

Understanding mental health challenges and associated risk factors of post-natural disasters in Bangladesh: a systematic review DOI Creative Commons

Md. Zawadul Karim,

Md. Al‐Mamun,

Maliha Azad Eva

и другие.

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Дек. 16, 2024

Natural disasters are harmful occurrences caused by the Earth's geological and meteorological processes. Bangladesh is recognized as one of country's most vulnerable to natural disasters. Therefore, people remain at high risk However, no study has been conducted in provide an overall perspective on mental health issues that arise after Thus, this systematic review aims identify all related factors brought Bangladesh.

Язык: Английский

Процитировано

2

Factors Affecting the Intention to Prepare for Flash Floods in the Philippines DOI

Lorraine Anne Cielo A. Pascual,

Ardvin Kester S. Ong, Chad M. Briggs

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 112, С. 104794 - 104794

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

2