ArticleInfectious diseases of poverty2019
Distribution of and associated factors for dengue burden in the state of Odisha, India during 2010-2016.
Article in Infectious diseases of poverty, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Arboviral infections of the central nervous system: Mechanisms of invasion and long-term consequences.Journal of neurovirology · 2026Review
- Epidemiology of Dengue Virus Infection in Different Geopolitical Zones of Odisha in Relation to Climatic Variation: An Observational Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026Article
- Spatio-temporal Distribution and Relative Risk of Dengue Fever in Peninsular Malaysia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026Article
- A retrospective investigation for the seroprevalence of Chikungunya virus and its co-existence with Dengue virus in Pakistani population, 2014-2015.Scientific reports · 2025Article
- Global burden and socioeconomic impact of knee osteoarthritis: a comprehensive analysis.Frontiers in medicine · 2024Article
- Dengue infections in India: A meta-analysis.Bioinformation · 2024Article
- Trends and Spatial Pattern Analysis of Dengue Cases in Northeast Malaysia.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022Article
- Viral characteristics and clinical presentation in dengue co-infection- Findings from a facility based observational study in Odisha, India.Journal of family medicine and primary care · 2021Article
- Epidemiology of viral disease outbreaks in Odisha, India (2010-2019).Epidemiology and infection · 2020Article
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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.
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