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Developing a Cold-Related Mortality Database in Bangladesh
The aim of this study was to develop a database of historical cold-related mortality in Bangladesh using information obtained from online national newspapers and to analyze such data to understand the spatiotemporal distribution, demographic dynamics, and causes of deaths related to cold temperature...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566719/ https://www.ncbi.nlm.nih.gov/pubmed/36231477 http://dx.doi.org/10.3390/ijerph191912175 |
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author | Alam, Md. Mahbub Mahtab, A.S.M. Ahmed, M. Razu Hassan, Quazi K. |
author_facet | Alam, Md. Mahbub Mahtab, A.S.M. Ahmed, M. Razu Hassan, Quazi K. |
author_sort | Alam, Md. Mahbub |
collection | PubMed |
description | The aim of this study was to develop a database of historical cold-related mortality in Bangladesh using information obtained from online national newspapers and to analyze such data to understand the spatiotemporal distribution, demographic dynamics, and causes of deaths related to cold temperatures in winter. We prepared a comprehensive database containing information relating to the winter months (December to February) of 2009–2021 for the eight administrative divisions of Bangladesh and systematically removed redundant records. We found that 1249 people died in Bangladesh during this period due to cold and cold-related illnesses, with an average of 104.1 deaths per year. The maximum number of cold-related deaths (36.51%) occurred in the Rangpur Division. The numbers were much higher here than in the other divisions because Rangpur has the lowest average monthly air temperature during the winter months and the poorest socioeconomic conditions. The primary peak of cold-related mortality occurred during 21–31 December, when cold fronts from the Himalayas entered Bangladesh through the Rangpur Division in the north. A secondary peak occurred on 11–20 January each year. Our results also showed that most of the cold-related mortality cases occurred when the daily maximum temperature was lower than 21 °C. Demographically, the highest number of deaths was observed in children aged six years and under (50.68%), followed by senior citizens 65 years and above (20.42%). Fewer females died than males, but campfire burns were the primary cause of female deaths. Most mortality in Bangladesh was due to the cold (75.5%), cold-triggered illness (10.65%), and campfire burns (5.8%). The results of this research will assist policymakers in understanding the importance of taking necessary actions that protect vulnerable public health from cold-related hazards in Bangladesh. |
format | Online Article Text |
id | pubmed-9566719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95667192022-10-15 Developing a Cold-Related Mortality Database in Bangladesh Alam, Md. Mahbub Mahtab, A.S.M. Ahmed, M. Razu Hassan, Quazi K. Int J Environ Res Public Health Article The aim of this study was to develop a database of historical cold-related mortality in Bangladesh using information obtained from online national newspapers and to analyze such data to understand the spatiotemporal distribution, demographic dynamics, and causes of deaths related to cold temperatures in winter. We prepared a comprehensive database containing information relating to the winter months (December to February) of 2009–2021 for the eight administrative divisions of Bangladesh and systematically removed redundant records. We found that 1249 people died in Bangladesh during this period due to cold and cold-related illnesses, with an average of 104.1 deaths per year. The maximum number of cold-related deaths (36.51%) occurred in the Rangpur Division. The numbers were much higher here than in the other divisions because Rangpur has the lowest average monthly air temperature during the winter months and the poorest socioeconomic conditions. The primary peak of cold-related mortality occurred during 21–31 December, when cold fronts from the Himalayas entered Bangladesh through the Rangpur Division in the north. A secondary peak occurred on 11–20 January each year. Our results also showed that most of the cold-related mortality cases occurred when the daily maximum temperature was lower than 21 °C. Demographically, the highest number of deaths was observed in children aged six years and under (50.68%), followed by senior citizens 65 years and above (20.42%). Fewer females died than males, but campfire burns were the primary cause of female deaths. Most mortality in Bangladesh was due to the cold (75.5%), cold-triggered illness (10.65%), and campfire burns (5.8%). The results of this research will assist policymakers in understanding the importance of taking necessary actions that protect vulnerable public health from cold-related hazards in Bangladesh. MDPI 2022-09-26 /pmc/articles/PMC9566719/ /pubmed/36231477 http://dx.doi.org/10.3390/ijerph191912175 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alam, Md. Mahbub Mahtab, A.S.M. Ahmed, M. Razu Hassan, Quazi K. Developing a Cold-Related Mortality Database in Bangladesh |
title | Developing a Cold-Related Mortality Database in Bangladesh |
title_full | Developing a Cold-Related Mortality Database in Bangladesh |
title_fullStr | Developing a Cold-Related Mortality Database in Bangladesh |
title_full_unstemmed | Developing a Cold-Related Mortality Database in Bangladesh |
title_short | Developing a Cold-Related Mortality Database in Bangladesh |
title_sort | developing a cold-related mortality database in bangladesh |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566719/ https://www.ncbi.nlm.nih.gov/pubmed/36231477 http://dx.doi.org/10.3390/ijerph191912175 |
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