Title |
Increasing the provision of mental health care for vulnerable, disaster-affected people in Bangladesh
|
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Published in |
BMC Public Health, July 2014
|
DOI | 10.1186/1471-2458-14-708 |
Pubmed ID | |
Authors |
Nazmun Nahar, Yulia Blomstedt, Beidi Wu, Istiti Kandarina, Laksono Trisnantoro, John Kinsman |
Abstract |
Bangladesh has the highest natural disaster mortality rate in the world, with over half a million people lost to disaster events since 1970. Most of these people have died during floods or cyclones, both of which are likely to become more frequent due to global climate change. To date, the government's post-disaster response strategy has focused, increasingly effectively, on the physical needs of survivors, through the provision of shelter, food and medical care. However, the serious and widespread mental health consequences of natural disasters in Bangladesh have not yet received the attention that they deserve. This Debate article proposes a practical model that will facilitate the provision of comprehensive and effective post-disaster mental health services for vulnerable Bangladeshis on a sustainable basis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 306 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 52 | 17% |
Researcher | 33 | 11% |
Lecturer | 30 | 10% |
Student > Bachelor | 22 | 7% |
Student > Ph. D. Student | 21 | 7% |
Other | 60 | 19% |
Unknown | 90 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 51 | 17% |
Nursing and Health Professions | 40 | 13% |
Social Sciences | 30 | 10% |
Psychology | 18 | 6% |
Environmental Science | 14 | 5% |
Other | 53 | 17% |
Unknown | 102 | 33% |