Indian Institute of Public Health-Bhubaneswar, Public Health Foundation of India, Bhubaneswar, Odisha, India.
School of Medicine, University of Nottingham, Nottingham, UK.
Infect Dis Poverty. 2019 May 6;8(1):31. doi: 10.1186/s40249-019-0541-9.
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.
本研究旨在使用伤残调整生命年（DALY）方法评估印度奥里萨邦 2010-2016 年登革热的流行病学负担，并探讨相关因素。在 2010-2016 年期间，该州报告了 27772 例（68.4%为男性）病例。男性和女性的平均年龄（岁）分别为 31.63 岁和 33.82 岁。按地区计算，每 10 万人的伤残调整生命年（DALY）平均值在 2016 年较高（0.45），人均损失的 DALY 在 2015 年最高（34.90 年）。调整后的回归模型表明，湿度和人口密度每增加一个单位，DALY 分别增加 1.05 和 1.02 个单位。而性别比例（每 1000 名男性中的女性）和森林覆盖率每单位变化都会使 DALY 增加 0.98 个单位。我们的结果表明奥里萨邦的 DALY 存在地域差异，这与人口密度、湿度和森林覆盖有关。标准发病率和 DALY 地图之间存在差异，后者可以更有效地呈现疾病负担。年轻男性中的患病率较高表明需要加强有针对性的预防和控制措施。
