Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, Beijing, China.
Fogarty International Center, National Institutes of Health, Bethesda, Maryland, United States of America.
PLoS Med. 2013 Nov;10(11):e1001552. doi: 10.1371/journal.pmed.1001552. Epub 2013 Nov 19.
The complexity of influenza seasonal patterns in the inter-tropical zone impedes the establishment of effective routine immunization programs. China is a climatologically and economically diverse country, which has yet to establish a national influenza vaccination program. Here we characterize the diversity of influenza seasonality in China and make recommendations to guide future vaccination programs.
We compiled weekly reports of laboratory-confirmed influenza A and B infections from sentinel hospitals in cities representing 30 Chinese provinces, 2005-2011, and data on population demographics, mobility patterns, socio-economic, and climate factors. We applied linear regression models with harmonic terms to estimate influenza seasonal characteristics, including the amplitude of annual and semi-annual periodicities, their ratio, and peak timing. Hierarchical Bayesian modeling and hierarchical clustering were used to identify predictors of influenza seasonal characteristics and define epidemiologically-relevant regions. The annual periodicity of influenza A epidemics increased with latitude (mean amplitude of annual cycle standardized by mean incidence, 140% [95% CI 128%-151%] in the north versus 37% [95% CI 27%-47%] in the south, p<0.0001). Epidemics peaked in January-February in Northern China (latitude ≥33°N) and April-June in southernmost regions (latitude <27°N). Provinces at intermediate latitudes experienced dominant semi-annual influenza A periodicity with peaks in January-February and June-August (periodicity ratio >0.6 in provinces located within 27.4°N-31.3°N, slope of latitudinal gradient with latitude -0.016 [95% CI -0.025 to -0.008], p<0.001). In contrast, influenza B activity predominated in colder months throughout most of China. Climate factors were the strongest predictors of influenza seasonality, including minimum temperature, hours of sunshine, and maximum rainfall. Our main study limitations include a short surveillance period and sparse influenza sampling in some of the southern provinces.
Regional-specific influenza vaccination strategies would be optimal in China; in particular, annual campaigns should be initiated 4-6 months apart in Northern and Southern China. Influenza surveillance should be strengthened in mid-latitude provinces, given the complexity of seasonal patterns in this region. More broadly, our findings are consistent with the role of climatic factors on influenza transmission dynamics. Please see later in the article for the Editors' Summary.
在热带地区,流感季节性模式的复杂性阻碍了有效的常规免疫接种计划的建立。中国是一个气候和经济多样化的国家,尚未建立国家流感疫苗接种计划。在这里,我们描述了中国流感季节的多样性,并提出了指导未来疫苗接种计划的建议。
我们汇编了 2005-2011 年来自代表中国 30 个省份的哨点医院的实验室确诊的流感 A 和 B 感染的每周报告,以及人口统计学、流动模式、社会经济和气候因素的数据。我们应用具有调和项的线性回归模型来估计流感季节性特征,包括年度和半年度周期性的幅度、它们的比值和峰值时间。分层贝叶斯模型和分层聚类用于识别流感季节性特征的预测因子,并定义具有流行病学意义的区域。流感 A 流行的年度周期性随纬度增加(经发病率标准化的年度周期平均幅度,北部为 140%[95%置信区间 128%-151%],南部为 37%[95%置信区间 27%-47%],p<0.0001)。北部中国(纬度≥33°N)的流行高峰期在 1 月至 2 月,南部地区(纬度<27°N)的高峰期在 4 月至 6 月。纬度在中间的省份存在占主导地位的半年度流感 A 周期性,峰值在 1 月至 2 月和 6 月至 8 月(位于 27.4°N-31.3°N 之间的省份的周期性比值>0.6,纬度与斜率的线性梯度为-0.016[95%置信区间-0.025 至-0.008],p<0.001)。相比之下,流感 B 活动在中国大部分地区主要发生在寒冷的月份。气候因素是流感季节性的最强预测因子,包括最低温度、日照时间和最大降雨量。我们的主要研究局限性包括监测期短和一些南部省份的流感样本稀疏。
中国需要制定区域特异性的流感疫苗接种策略;特别是,北方和南方应相隔 4-6 个月分别启动年度疫苗接种。鉴于该地区季节性模式的复杂性,应加强对中纬度省份的流感监测。更广泛地说,我们的发现与气候因素对流感传播动力学的作用一致。请稍后在文章中查看编辑摘要。