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Peste des petits ruminants in China: Spatial risk analysis.
Jun Ma1, Xiang Gao1, Boyang Liu1
1Department of Veterinary Surgery, Northeast Agricultural University, Harbin, Heilongjiang, China.
A study of peste des petites ruminants (PPR) outbreaks in China (2013-2018) identified three significant disease clusters. Drier precipitation patterns were the key factor predicting the occurrence of this livestock disease.
Area of Science:
- Veterinary Epidemiology
- Disease Ecology
- Animal Health Surveillance
Background:
- Peste des petites ruminants (PPR) is a highly contagious viral disease affecting small ruminants.
- Understanding the spatio-temporal distribution and risk factors of PPR is crucial for effective control.
- Previous studies have highlighted the impact of environmental factors on PPRV (Peste des Petits Ruminants Virus) transmission.
Purpose of the Study:
- To analyze the spatio-temporal patterns of PPR outbreaks in China between 2013 and 2018.
- To identify high-risk areas and time periods for PPR outbreaks.
- To determine the key environmental predictors associated with PPRV occurrence.
Main Methods:
- Spatio-temporal cluster analysis was employed to detect significant aggregations of PPR outbreaks.
- Maximum entropy ecological niche modeling (using presence-only data) was utilized to map high-risk PPR outbreak areas.
- Statistical analysis was performed to identify significant environmental predictors.
Main Results:
- A total of 294 PPR outbreak cases were recorded from November 2013 to November 2018.
- Three statistically significant spatio-temporal clusters of PPR outbreaks were identified.
- The precipitation of the driest month emerged as the most significant predictor for PPRV occurrence.
Conclusions:
- PPR outbreaks in China exhibit distinct spatio-temporal clustering.
- Environmental factors, particularly precipitation, play a critical role in the epidemiology of PPR.
- The findings provide valuable insights for targeted surveillance and control strategies for PPR in China.
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