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Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016
This study is aimed to estimate the epidemiological burden of dengue in Odisha, India using the disability adjusted life year (DALY) methods and to explore the associated factors in the year 2010–2016. During the period of 2010–2016, 27 772 cases (68.4% male) were reported in the state. Mean age (ye...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501402/ https://www.ncbi.nlm.nih.gov/pubmed/31056077 http://dx.doi.org/10.1186/s40249-019-0541-9 |
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author | Swain, Subhashisa Bhatt, Minakshi Pati, Sanghamitra Soares Magalhaes, Ricardo J. |
author_facet | Swain, Subhashisa Bhatt, Minakshi Pati, Sanghamitra Soares Magalhaes, Ricardo J. |
author_sort | Swain, Subhashisa |
collection | PubMed |
description | This study is aimed to estimate the epidemiological burden of dengue in Odisha, India using the disability adjusted life year (DALY) methods and to explore the associated factors in the year 2010–2016. During the period of 2010–2016, 27 772 cases (68.4% male) were reported in the state. Mean age (years) of male and female was 31.63 and 33.82, respectively. Mean district wise disability adjusted life years (DALY) per 100 000 people was higher in the year 2016 (0.45) and mean DALY lost per person was highest in the year 2015 (34.90 years). Adjusted regression model indicates, every unit increase in humidity and population density increases DALY by 1.05 and 1.02 units respectively. Whereas, unit change in sex ratio (females per 1000 males) and forest coverage increases the DALY by 0.98 units. Our results indicate geographical variation of DALY in Odisha, which is associated with population density, humidity and forest cover. Discrepancies identified between standard incidence and DALY maps suggests, latter can be used to present disease burden more effectively. More prevalence among young males suggests the need of strengthening the targeted prevention and control measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-019-0541-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6501402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65014022019-05-10 Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 Swain, Subhashisa Bhatt, Minakshi Pati, Sanghamitra Soares Magalhaes, Ricardo J. Infect Dis Poverty Short Report This study is aimed to estimate the epidemiological burden of dengue in Odisha, India using the disability adjusted life year (DALY) methods and to explore the associated factors in the year 2010–2016. During the period of 2010–2016, 27 772 cases (68.4% male) were reported in the state. Mean age (years) of male and female was 31.63 and 33.82, respectively. Mean district wise disability adjusted life years (DALY) per 100 000 people was higher in the year 2016 (0.45) and mean DALY lost per person was highest in the year 2015 (34.90 years). Adjusted regression model indicates, every unit increase in humidity and population density increases DALY by 1.05 and 1.02 units respectively. Whereas, unit change in sex ratio (females per 1000 males) and forest coverage increases the DALY by 0.98 units. Our results indicate geographical variation of DALY in Odisha, which is associated with population density, humidity and forest cover. Discrepancies identified between standard incidence and DALY maps suggests, latter can be used to present disease burden more effectively. More prevalence among young males suggests the need of strengthening the targeted prevention and control measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40249-019-0541-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-06 /pmc/articles/PMC6501402/ /pubmed/31056077 http://dx.doi.org/10.1186/s40249-019-0541-9 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Swain, Subhashisa Bhatt, Minakshi Pati, Sanghamitra Soares Magalhaes, Ricardo J. Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title | Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title_full | Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title_fullStr | Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title_full_unstemmed | Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title_short | Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010–2016 |
title_sort | distribution of and associated factors for dengue burden in the state of odisha, india during 2010–2016 |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501402/ https://www.ncbi.nlm.nih.gov/pubmed/31056077 http://dx.doi.org/10.1186/s40249-019-0541-9 |
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