Quantifying the Impact of Floods on Bacillary Dysentery in Dalian City, China, From 2004 to 2010

Disaster Med Public Health Prep. 2017 Apr;11(2):190-195. doi: 10.1017/dmp.2016.90. Epub 2016 May 27.

Abstract

Objective: 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.

Methods: 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.

Results: 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).

Conclusions: 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).

Keywords: bacillary dysentery; floods; generalized additive mixed model; relative risk.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Dysentery, Bacillary / epidemiology*
  • Dysentery, Bacillary / etiology*
  • Floods / statistics & numerical data*
  • Humans
  • Population Surveillance / methods