Distributed lag effects and vulnerable groups of floods on bacillary dysentery in Huaihua, China.

ABSTRACT: Understanding the potential links between floods and bacillary dysentery in China is important to develop appropriate intervention programs after floods. This study aimed to explore the distributed lag effects of floods on bacillary dysentery and to identify the vulnerable groups in Huaihua, China. Weekly number of bacillary dysentery cases from 2005-2011 were obtained during flood season. Flood data and meteorological data over the same period were obtained from the China Meteorological Data Sharing Service System. To examine the distributed lag effects, a generalized linear mixed model combined with a distributed lag non-linear model were developed to assess the relationship between floods and bacillary dysentery. A total of 3,709 cases of bacillary dysentery were notified over the study

SUBMITTER: Liu ZD 

PROVIDER: S-EPMC4947917 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature