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中国广西洪灾导致的细菌性痢疾疾病负担预测。

Projected burden of disease for bacillary dysentery due to flood events in Guangxi, China.

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, PR China; Center for Climate Change and Health, School of Public Health, Shandong University, Jinan City, Shandong Province, PR China.

Department of Epidemiology and Health Statistics, School of Public Health, Taishan Medical University, Taian City, Shandong Province, PR China.

出版信息

Sci Total Environ. 2017 Dec 1;601-602:1298-1305. doi: 10.1016/j.scitotenv.2017.05.020. Epub 2017 Jun 9.

Abstract

Many researchers have been studying the influence of floods on intestinal infection in recent years. This study aimed to project the future disease burden of bacillary dysentery associated with floods in Guangxi, China. Relying on the longitudinal data, a generalized additive mixed model was applied to quantify the relationship between the monthly morbidity of bacillary dysentery and floods with two severity levels from 2004 to 2010, controlling for other meteorological variables. Years Lived with Disability (YLDs) was used as the measure of the burden of bacillary dysentery in the future of Guangxi, China. According to the generalized additive mixed model, the relative risks (RR) of moderate and severe floods on the morbidity of bacillary dysentery were 1.17 (95% CI: 1.03-1.33) and 1.39 (95% CI: 1.14-1.70), respectively. The regression analysis also indicated that the flood duration was negatively associated with the morbidity of bacillary dysentery (with RR: 0.63, 95% CI: 0.44-0.90). Considering the effects of floods only, compared with the YLDs in 2010, increasing flood events may lead to a 4.0% increase in the YLDs for bacillary dysentery by 2020, 2100, 0.0% by 2050, and an 8.0% increase by 2030 in Guangxi, if other factors remain constant. Considering all potential changes include floods, temperature and population size, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 0.0% by 2100, compared to that in 2010 under the moderate flood scenario; Under the severe flood scenario, the YLDs for bacillary dysentery may increase by up to 16.0% by 2020, 20.0% by 2030, 2050, and 4.0% by 2100.

摘要

近年来,许多研究人员一直在研究洪水对肠道感染的影响。本研究旨在预测未来广西细菌性痢疾与洪水相关的疾病负担。本研究基于纵向数据,应用广义加性混合模型来量化 2004 年至 2010 年期间,每月细菌性痢疾发病率与两种严重程度的洪水之间的关系,同时控制其他气象变量。伤残调整生命年(YLDs)被用作衡量中国广西细菌性痢疾未来负担的指标。根据广义加性混合模型,中度和重度洪水对细菌性痢疾发病率的相对风险(RR)分别为 1.17(95%CI:1.03-1.33)和 1.39(95%CI:1.14-1.70)。回归分析还表明,洪水持续时间与细菌性痢疾发病率呈负相关(RR:0.63,95%CI:0.44-0.90)。仅考虑洪水的影响,与 2010 年 YLDs 相比,到 2020 年,洪水事件增加可能导致细菌性痢疾 YLDs 增加 4.0%,到 2100 年增加 0.0%,到 2030 年增加 8.0%;如果其他因素保持不变。如果考虑到所有潜在的变化,包括洪水、温度和人口规模,在中度洪水情景下,与 2010 年相比,到 2020 年、2030 年、2050 年,细菌性痢疾的 YLDs 可能增加多达 16.0%,到 2100 年增加 0.0%;在重度洪水情景下,与 2010 年相比,到 2020 年、2030 年、2050 年,细菌性痢疾的 YLDs 可能增加多达 16.0%,到 2100 年增加 4.0%。

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