Identifying Flood-Related Infectious Diseases in Anhui Province, China: A Spatial and Temporal Analysis

• DOI: 10.4269/ajtmh.15-0338
• Publication Date: 2016-02-23T03:43:42Z
• Authors: Lu Gao; Ying Zhang; Guoyong Ding; Qiyong Liu; Baofa Jiang
• Keywords: Diarrhea; China; Models, Statistical; Incidence; Communicable Diseases; Floods; 6. Clean water; Malaria; 3. Good health; Disasters; 03 medical and health sciences; Spatio-Temporal Analysis; 0302 clinical medicine; 13. Climate action; 11. Sustainability; Humans; Regression Analysis; Poisson Distribution; Weather; Dysentery, Bacillary

The aim of this study was to explore infectious diseases related the 2007 Huai River flood in Anhui Province, China. based on notified incidences between June 29 and July 25 from 2004 2011. Daily were compared with corresponding daily during same period other years (from 2011, except 2007) by Poisson regression analysis. Spatial autocorrelation analysis used test distribution pattern diseases. models then performed examine association incidence each disease flood, considering lag effects confounders. After controlling meteorological socioeconomic factors, malaria (odds ratio [OR] = 3.67, 95% confidence interval [CI] 1.77–7.61), diarrhea (OR 2.16, CI 1.24–3.78), hepatitis A virus (HAV) infection 6.11, 1.04–35.84) significantly both spatial temporal analyses. Special attention should be given develop public health preparation interventions a focus malaria, diarrhea, HAV infection, region.