title: Quantifying the Impact of Floods on Bacillary Dysentery in Dalian City, China, From 2004 to 2010.
abstract: Studies quantifying relationships between floods and diarrheal diseases have mainly been conducted in low-latitude regions. It's therefore increasingly important to examine these relationships in midlatitude regions, where they may have significant public health implications. This study aimed to examine the association between floods and bacillary dysentery in the city of Dalian, China.
  
  
  
  A generalized additive mixed model was applied to examine the association between floods and bacillary dysentery. The relative risk (RR) of flood impact on bacillary dysentery was estimated.
  
  
  
  A total of 18,976 cases of bacillary dysentery were reported in Dalian during the study period. Two weeks' lagged effect was detected from the impact of floods on bacillary dysentery. The RR of flood impact on bacillary dysentery was 1.17 (95% CI: 1.03-1.33).
  
  
  
  Floods have significantly increased the risk of bacillary dysentery in Dalian. More studies should focus on the association between floods and infectious diseases in different regions. Our findings have significant implications for managing the negative health impact of floods in the midlatitude region of China. (Disaster Med Public Health Preparedness. 2017;11:190-195).
authors.affiliation: 1Department of Epidemiology,School of Public Health,Shandong University,Shandong Province,China.
authors.forename: Xin
authors.initials: X
authors.lastname: Xu
authors.affiliation: 3Department of Occupational and Environmental Health,School of Public Health,Taishan Medical College,Taian,Shandong Province,China.
authors.forename: Guoyong
authors.initials: G
authors.lastname: Ding
authors.affiliation: 4School of Public Health,China Studies Centre,The University of Sydney,New South Wales,Australia.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: 1Department of Epidemiology,School of Public Health,Shandong University,Shandong Province,China.
authors.forename: Zhidong
authors.initials: Z
authors.lastname: Liu
authors.affiliation: 2Shandong University Climate Change and Health Center,Jinan,Shandong Province,China.
authors.forename: Qiyong
authors.initials: Q
authors.lastname: Liu
authors.affiliation: 1Department of Epidemiology,School of Public Health,Shandong University,Shandong Province,China.
authors.forename: Baofa
authors.initials: B
authors.lastname: Jiang
mesh_terms: D002681:China / Q000453:epidemiology; D004405:Dysentery, Bacillary / Q000453:epidemiology* / Q000209:etiology*; D055868:Floods / Q000706:statistics & numerical data*; D006801:Humans; D011159:Population Surveillance / Q000379:methods
keywords: bacillary dysentery; floods; generalized additive mixed model; relative risk