Literature DB >> 22130387

Projected Years Lost due to Disabilities (YLDs) for bacillary dysentery related to increased temperature in temperate and subtropical cities of China.

Ying Zhang1, Peng Bi, Yuwei Sun, Janet E Hiller.   

Abstract

The impact of climate change on enteric infection has been a concern in recent years. This study aims to project disability burdens of bacillary dysentery (BD) associated with increasing temperature in different climatic zones in China. Years Lost due to Disabilities (YLDs) were used as the measure of burden of bacillary dysentery in this study. A temperate city in northern China and a subtropical city in southern China were selected as the study areas. The quantitative relationship between temperature and the number of cases in each city was base on the regression models developed in our previous studies. YLDs for bacillary dysentery in 2000 were used as the baseline data. Projection of YLDs for bacillary dysentery in 2020 and 2050 under future temperature scenarios were conducted. Demographic changes over the next 20 to 50 years in study cities were considered in the projections. Under the temperature scenarios alone, the YLDs for bacillary dysentery may increase by up to 80% by 2020 and 174% by 2050 in the temperate city and up to 75% increase in the YLDs by 2020 and a 147% increase by 2050 in the tropical city. Considering potential changes in both temperature and population size and structure, if other factors remain constant, compared with the YLDs observed in 2000, the YLDs for bacillary dysentery may double by 2020 and triple by 2050 in both the temperate and subtropical cities in China. The temperature-related health burden of enteric infection in China may greatly increase in the future if there is no effective intervention. Relevant public health strategies should be developed at an earlier stage to prevent and reduce the impact of infectious disease associated with climate change.

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Year:  2011        PMID: 22130387     DOI: 10.1039/c1em10391a

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  16 in total

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3.  Effects of Floods on the Incidence of Acute Hemorrhagic Conjunctivitis in Mengshan, China, from 2005 to 2012.

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Journal:  Am J Trop Med Hyg       Date:  2020-06       Impact factor: 2.345

4.  Impacts of exposure to ambient temperature on burden of disease: a systematic review of epidemiological evidence.

Authors:  Jian Cheng; Zhiwei Xu; Hilary Bambrick; Hong Su; Shilu Tong; Wenbiao Hu
Journal:  Int J Biometeorol       Date:  2019-04-22       Impact factor: 3.787

5.  Impacts of ambient temperature on the burden of bacillary dysentery in urban and rural Hefei, China.

Authors:  J Cheng; M Y Xie; K F Zhao; J J Wu; Z W Xu; J Song; D S Zhao; K S Li; X Wang; H H Yang; L Y Wen; H Su; S L Tong
Journal:  Epidemiol Infect       Date:  2017-03-15       Impact factor: 4.434

6.  High mean water vapour pressure promotes the transmission of bacillary dysentery.

Authors:  Guo-Zheng Li; Feng-Feng Shao; Hao Zhang; Chun-Pu Zou; Hui-Hui Li; Jue Jin
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

7.  Spatio-temporal trends and risk factors for Shigella from 2001 to 2011 in Jiangsu Province, People's Republic of China.

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8.  The impact of temperature extremes on mortality: a time-series study in Jinan, China.

Authors:  Jing Han; Shouqin Liu; Jun Zhang; Lin Zhou; Qiaoling Fang; Ji Zhang; Ying Zhang
Journal:  BMJ Open       Date:  2017-05-02       Impact factor: 2.692

9.  Applied mixed generalized additive model to assess the effect of temperature on the incidence of bacillary dysentery and its forecast.

Authors:  Weiping Ma; Xiaodong Sun; Yanyan Song; Fangfang Tao; Wei Feng; Yi He; Naiqing Zhao; Zhengan Yuan
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

10.  Socio-economic factors of bacillary dysentery based on spatial correlation analysis in Guangxi Province, China.

Authors:  Chengjing Nie; Hairong Li; Linsheng Yang; Gemei Zhong; Lan Zhang
Journal:  PLoS One       Date:  2014-07-18       Impact factor: 3.240

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