| Literature DB >> 31050188 |
Jun Ma1, Xiang Gao1, Boyang Liu1, Hao Chen1, Jianhua Xiao1, Hongbin Wang1.
Abstract
During the period spanning November 2013 to November 2018, 294 outbreak cases of PPR were diagnosed. Spatio-temporal cluster analysis was performed to determine whether or not areas and time periods with significant aggregation of PPR outbreaks occurred. High-risk areas for PPR outbreaks in China were detected using the presence-only maximum entropy ecological niche model. The analysis identified three statistically significant disease clusters. Precipitation of driest month was identified as the most important predictor for PPRV occurrence.Entities:
Keywords: MaxEnt; Peste des petits ruminants; risk; spatio-temporal cluster
Mesh:
Year: 2019 PMID: 31050188 DOI: 10.1111/tbed.13217
Source DB: PubMed Journal: Transbound Emerg Dis ISSN: 1865-1674 Impact factor: 5.005