Impact of meteorological factors on the prevalence of porcine pasteurellosis in the southcentral of Mainland China.

摘要: Using data collected from 2006 to 2014, we applied geographic information system (GIS) mapping and spatial clustering analysis evaluate prevalence of porcine pasteurellosis in all 31 provinces Mainland China. All have been affected, but our results show that there is a very high incidence the southcentral Six comprise area account for 14082 outbreaks or 74.66% total 18862 number: Guangxi (4574), Sichuan (3493), Chongqing (2443), Guangdong (1584), Guizou (1041) Yunnan (947). This study aims relation between meteorological factors number cases Local variables case were provided by authorities. Spearman rank correlation cross-correlation used control collinearity lag effects. A zero-inflated Poisson model was estimate probability an impact epidemiology pasteurellosis. The this indicated ENSO positive effect on occurrence disease. And mean monthly temperature, relative humidity current previous month In contrast, average wind speed negatively correlated newly reported cases. Our findings indicate may exist conditions China increase risk appearance Moreover, these be disease' region.