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Comparative Study
. 2019 May 6;8(1):31.
doi: 10.1186/s40249-019-0541-9.

Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010-2016

Subhashisa Swain  1   2 , Minakshi Bhatt  3 , Sanghamitra Pati  4 , Ricardo J Soares Magalhaes  5   6
Affiliations
Comparative Study

Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010-2016

Subhashisa Swain et al. Infect Dis Poverty. .

Abstract

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.

Keywords: Burden; Dengue; Disability adjusted life year; Distribution; India.

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Conflict of interest statement

Ethics approval and consent to participate

The study was approved by state research and ethics committee, Department of Health and Family Welfare, Government of Odisha, India with letter number 141/SHRMU.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
a Distribution of cases across age in different years in males. b Distribution of cases across age in different years in females
Fig. 2
Fig. 2
Seasonality of cases per 10 000 population, month wise across three years
Fig. 3
Fig. 3
Incidences of dengue cases per 10 000 persons from 2010 to 2016
Fig. 4
Fig. 4
Death due to dengue per 100 000 persons from 2010 to 2016
Fig. 5
Fig. 5
Distribution of burden (regional DALY per 100 000 persons) from 2013 to 2016
See this image and copyright information in PMC

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