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| Qin,HY; Xiao,JH; Li,JX; Gao,X; Wang,HB. |
| ABSTRACT In recent years, Guangxi has become one of the most severely affected provinces by epidemics of avian cholera in China. To date, the major determinant climatic factors of the disease in the region have remained largely unknown, making it difficult to effectively target countermeasures for avian cholera surveillance and control. This study aimed to quantify the relationship between climatic variables and cases of avian cholera in subtropical areas of China. Data relating to local meteorological variables and notified cases of avian cholera were supplied by the relevant authorities between January 2006 and December 2015. Spearman correlation, co-linearity statistics and cross-correlation analysis were applied to the data, controlling for... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Avian cholera; Climate variables; Guangxi; Time-series Poisson regression.. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2017000200211 |
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