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| Effect of meteorological factors on rodent density |
| WANG Jin-na*，LAO Jia-hui，HOU Juan，GUO Song，WU Yu-yan，MA Xiao，XU Rong，GONG Zhen-yu
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| *Department of Communicable Disease Control and Prevention，Zhejiang Provincial Center for Disease Control and Prevention，Hangzhou，Zhejiang 310051，China |
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Abstract Objective To analyse the correlation between rodent density and the meteorological factors from 2004 to 2016 in Ningbo，Zhejiang Province，and to provide theoretical basis for the prevention and control of the rodent-borne disease. Methods Data on rodent density and meteorological factors of Ningbo from January 2004 to December 2016 were collected. Pearson correlation or Spearman correlation analysis was used to analyze the correlation of meteorological variables and rodent density. The generalized additive model (GAM) was used to analyze the effects of meteorological factors on rodent density and its lag effect. Results The overall density of the rodents showed a gradual downward trend in recent years in Ningbo（P<0.05），with an average density of 0.59%. Rattus norvegicus was the dominant species in Ningbo. The monthly average temperature showed nonlinear smooth function relation with the rodent density of the current month （P<0.05），and negative correlation with the rodent density lagging three months （P<0.05）. The monthly sunshine duration showed negative correlation with the rodent density of the current month （P<0.05）. The monthly average water vapor pressure showed positive correlation with the rodent density lagging one month （P<0.05）. Conclusion The monthly average temperature and the monthly sunshine duration can influence the rodent density of the current month，and the monthly average temperature and the monthly average water vapor pressure might have lag effect.
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Published: 04 September 2018
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[1] 吴文有，吴冬霞，雷永良，等. 庆元县历史疫区鼠疫流行风险评估[J] . 浙江预防医学，2015，27（11）：1144-1146.
[2] 柴程良，孙继民，陆群英，等. 浙江省鼠形动物蜱源立克次体感染状况调查[J] . 浙江预防医学，2014，26（7）：659-663.
[3] 黄金波，蓝玉清，柳付明，等. 丽水市肾综合征出血热监测结果[J] . 浙江预防医学，2015，27（2）：162-166.
[4] 高文，黄钢，马丽华，等. 差分自回归移动平均模型在河北省鼠密度监测信息系统中的应用研究[J] . 中国媒介生物学及控制杂志，2017，28（3）：265-268.
[5] 牛艳芬，康晓平，闫东，等. 河北省2001—2013年长爪沙鼠疫源地长爪沙鼠密度相关因素分析[J] . 中华流行病学杂志，2016，37（8）：1108-1111.
[6] 刘晓东. 中国肾综合征出血热时空分布及气候因素对辽宁省HFRS影响的研究[D] . 济南：山东大学，2012.
[7] BAI Y T，XU Z G，LU B，et al. Effects of climate and rodent factors on hemorrhagic fever with renal syndrome in Chongqing，China，1997-2008[J] . PLoS ONE，2015，10（7）：e0133218.
[8] JIANG F，WANG L，WANG S，et al. Meteorological factors affect the epidemiology of hemorrhagic fever with renal syndrome via altering the breeding and hantavirus-carrying states of rodents and mites：a 9 years' longitudinal study[J] . Emerg Microbes Infect，2017，6（11）：e104.
[9] 张云权，朱耀辉，李存禄，等. 广义相加模型在R软件中的实现[J] . 中国卫生统计，2015，32（6）：1073-1075.
[10] SONG Y Z，YANG H L，PENG J H，et al. Estimating PM2.5 concentrations in Xi'an City using a generalized additive model with multi-source monitoring data[J] . PLoS One，2015，10（11）： e0142149.
[11] 吴海磊，钱吉生，阮治安，等. 鼠密度与气象因素的响应面分析研究[J] . 中国媒介生物学及控制杂志，2009，20（2）：129- 132.
[12] BI P，TONG S，DONALD K，et al. Climatic，reservoir and occupational variables and the transmission of haemorrhagic fever with renal syndrome in China[J] . Int J Epidemiol，2002，31（1）：189-193.
[13] LIN H，ZHANG Z，LU L，et al. Meteorological factors are associated with hemorrhagic fever with renal syndrome in Jiaonan County，China，2006-2011[J] . Int J Biometeorol，2014，58（6）：1031-1037.
[14] 费蕾，汪祖国，姚瑶，等. 上海奉贤区农田鼠类种群数量变动以及气候和耕作因素的影响[J] . 应用生态学报，2015，26（2）： 579-587.
[15] 罗成旺，刘起勇，侯建林. 黑龙江省黑河市肾综合征出血热流行因素相关分析及回归模型的建立[J] . 疾病监测，2009，24（2）： 118-120.
[16] 刘自远. 气象因素对农田鼠类数量影响的典型相关分析[J] . 中国媒介生物学及控制杂志，2011，22（4）：372-374.
[17] 赵岩，杨明. 达乌尔黄鼠室内繁殖的可能影响因素[J] . 沈阳师范大学学报（自然科学版），2010，28（1）：94-97.
[18] 闫东，刘冠纯，兰晓宇，等. 气象因素对河北省鼠疫疫源地长爪沙鼠种群密度的影响[J] .中华卫生杀虫药械，2017，23（2）：159-161.
[19] 李顺德， 普文林. 滇中农田褐家鼠种群繁殖规律研究[J] . 植保技术与推广，1998，18（5）：24-26. |
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