<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Swine erysipelas (SE) is one of the best-known and most serious diseases that affect domestic pigs, which is caused by <italic>Erysipelothrix rhusiopathiae</italic>. It is endemic in Nanning and has been circulating for decades, causing considerable economic losses. The aim of this study was to investigate the effect of meteorological-related variations on the epidemiology of swine erysipelas in Nanning City, a subtropical city of China. Data on monthly counts of reported swine erysipelas and climate data in Nanning are provided by the authorities over the period from 2006 to 2015. Cross-correlation analysis was applied to identify the lag effects of meteorological variables. A zero-inflated negative binomial (ZINB) regression model was used to evaluate the independent contribution of meteorological factors to SE transmission. After controlling seasonality, autocorrelation and lag effects, the results of the model indicated that Southern Oscillation Index (SOI) has a positive effect on SE transmission. Moreover, there is a positive correlation between monthly mean maximum temperature and relative humidity at 0-1 month lag and the number of cases. Furthermore, there is a positive association between the number of SE incidences and precipitation, with a lagged effect of 2 months. In contrast, monthly mean wind velocity negatively correlated with SE of the current month. These findings indicate that meteorological variables may play a significant role in SE transmission in southern China. Finally, more public health actions should be taken to prevent and control the increase of SE disease with consideration of local weather variations.</p></abstract>

Swine erysipelas (SE) is one of the best-known and most serious diseases that affect domestic pigs, which is caused by Erysipelothrix rhusiopathiae. It is endemic in Nanning and has been circulating for decades, causing considerable economic losses. The aim of this study was to investigate the effect of meteorological-related variations on the epidemiology of swine erysipelas in Nanning City, a subtropical city of China. Data on monthly counts of reported swine erysipelas and climate data in Nanning are provided by the authorities over the period from 2006 to 2015. Cross-correlation analysis was applied to identify the lag effects of meteorological variables. A zero-inflated negative binomial (ZINB) regression model was used to evaluate the independent contribution of meteorological factors to SE transmission. After controlling seasonality, autocorrelation and lag effects, the results of the model indicated that Southern Oscillation Index (SOI) has a positive effect on SE transmission. Moreover, there is a positive correlation between monthly mean maximum temperature and relative humidity at 0-1 month lag and the number of cases. Furthermore, there is a positive association between the number of SE incidences and precipitation, with a lagged effect of 2 months. In contrast, monthly mean wind velocity negatively correlated with SE of the current month. These findings indicate that meteorological variables may play a significant role in SE transmission in southern China. Finally, more public health actions should be taken to prevent and control the increase of SE disease with consideration of local weather variations.

Meteorological Factors and Swine Erysipelas Transmission in Southern China

Jilin Agricultural Science and Technology University

Acta Veterinaria

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Meteorological Factors and Swine Erysipelas Transmission in Southern China"}

Swine erysipelas (SE) is one of the best-known and most serious diseases that affect domestic pigs, which is caused by Erysipelothrix rhusiopathiae. It is...

Meteorological Factors and Swine Erysipelas Transmission in Southern China

Published Online: Apr 03, 2020

Page range: 37 - 50

Received: Aug 29, 2019

Accepted: Jan 06, 2020

DOI: https://doi.org/10.2478/acve-2020-0002

Keywords
swine, swine erysipelas, Nanning, meteorological factors, zero-inflated negative binomial

© 2020 Hong-Yu Qin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Meteorological Factors and Swine Erysipelas Transmission in Southern China

Published Online: Apr 03, 2020

Page range: 37 - 50

Received: Aug 29, 2019

Accepted: Jan 06, 2020

DOI: https://doi.org/10.2478/acve-2020-0002

Keywordsswine, swine erysipelas, Nanning, meteorological factors, zero-inflated negative binomial

© 2020 Hong-Yu Qin et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
swine, swine erysipelas, Nanning, meteorological factors, zero-inflated negative binomial