Literature DB >> 33874880

Associations between floods and bacillary dysentery cases in main urban areas of Chongqing, China, 2005-2016: a retrospective study.

Yang Ma1, Tong Wen1, Dianguo Xing2, Yan Zhang3.   

Abstract

BACKGROUND: Understanding the association between floods and bacillary dysentery (BD) incidence is necessary for us to assess the health risk of extreme weather events. This study aims at exploring the association between floods and daily bacillary dysentery cases in main urban areas of Chongqing between 2005 and 2016 as well as evaluating the attributable risk from floods.
METHODS: The association between floods and daily bacillary dysentery cases was evaluated by using distributed lag non-linear model, controlling for meteorological factors, long-term trend, seasonality, and day of week. The fraction and number of bacillary dysentery cases attributable to floods was calculated. Subgroup analyses were conducted to explore the association across age, gender, and occupation.
RESULTS: After controlling the impact of temperature, precipitation, relative humidity, long-term trend, and seasonality, a significant lag effect of floods on bacillary dysentery cases was found at 0-day, 3-day, and 4-day lag, and the cumulative relative risk (CRR) over a 7-lag day period was 1.393 (95%CI 1.216-1.596). Male had higher risk than female. People under 5 years old and people aged 15-64 years old had significantly higher risk. Students, workers, and children had significantly higher risk. During the study period, based on 7-lag days, the attributable fraction of bacillary dysentery cases due to floods was 1.10% and the attributable number was 497 persons.
CONCLUSIONS: This study confirms that floods can increase the risk of bacillary dysentery incidence in main urban areas of Chongqing within an accurate time scale, the risk of bacillary dysentery caused by floods is still serious. The key population includes male, people under 5 years old, students, workers, and children. Considering the lag effect of floods on bacillary dysentery, the government and public health emergency departments should advance to the emergency health response in order to minimize the potential risk of floods on public.

Entities:  

Keywords:  Attributable risk; Bacillary dysentery; Distributed lag non-linear model; Floods; Relative risk

Year:  2021        PMID: 33874880     DOI: 10.1186/s12199-021-00971-z

Source DB:  PubMed          Journal:  Environ Health Prev Med        ISSN: 1342-078X            Impact factor:   3.674


  20 in total

1.  Quantitative analysis of burden of bacillary dysentery associated with floods in Hunan, China.

Authors:  Xuena Liu; Zhidong Liu; Ying Zhang; Baofa Jiang
Journal:  Sci Total Environ       Date:  2016-01-11       Impact factor: 7.963

2.  An overview of methods for calculating the burden of disease due to specific risk factors.

Authors:  Kyle Steenland; Ben Armstrong
Journal:  Epidemiology       Date:  2006-09       Impact factor: 4.822

3.  [Study on influence of floods on bacillary dysentery incidence in Liaoning province, 2004 -2010].

Authors:  X Xu; Z D Liu; D B Han; Y Q Xu; B F Jiang
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2016-05

4.  Association between flood and the morbidity of bacillary dysentery in Zibo City, China: a symmetric bidirectional case-crossover study.

Authors:  Feifei Zhang; Guoyong Ding; Zhidong Liu; Caixia Zhang; Baofa Jiang
Journal:  Int J Biometeorol       Date:  2016-04-27       Impact factor: 3.787

5.  Analysis of Risk and Burden of Dysentery Associated with Floods from 2004 to 2010 in Nanning, China.

Authors:  Zhidong Liu; Guoyong Ding; Ying Zhang; Xin Xu; Qiyong Liu; Baofa Jiang
Journal:  Am J Trop Med Hyg       Date:  2015-09-28       Impact factor: 2.345

6.  Nonlinear and threshold of the association between meteorological factors and bacillary dysentery in Beijing, China.

Authors:  Z J Li; X J Zhang; X X Hou; S Xu; J S Zhang; H B Song; H L Lin
Journal:  Epidemiol Infect       Date:  2015-06-01       Impact factor: 4.434

7.  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

8.  Short-term impacts of floods on enteric infectious disease in Qingdao, China, 2005-2011.

Authors:  F Zhang; Z Liu; L Gao; C Zhang; B Jiang
Journal:  Epidemiol Infect       Date:  2016-06-17       Impact factor: 4.434

9.  Impacts of floods on dysentery in Xinxiang city, China, during 2004-2010: a time-series Poisson analysis.

Authors:  Wei Ni; Guoyong Ding; Yifei Li; Hongkai Li; Baofa Jiang
Journal:  Glob Health Action       Date:  2014-08-05       Impact factor: 2.640

Review 10.  Patterns of Bacillary Dysentery in China, 2005-2010.

Authors:  Han Zhang; Yali Si; Xiaofeng Wang; Peng Gong
Journal:  Int J Environ Res Public Health       Date:  2016-01-27       Impact factor: 3.390

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  1 in total

1.  Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China.

Authors:  Hong Zhang; Kun Su; Xiaoni Zhong
Journal:  Int J Environ Res Public Health       Date:  2022-05-29       Impact factor: 4.614

  1 in total

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