Background:Evidence is inefficient about how meteorological factors influence the trends of influenza transmission in different regions of China.Methods:We estimated the time-varying reproduction number(Rt)of influenz...Background:Evidence is inefficient about how meteorological factors influence the trends of influenza transmission in different regions of China.Methods:We estimated the time-varying reproduction number(Rt)of influenza and explored the impact of temperature and relative humidity on Rt using generalized additive quasi-Poisson regression models combined with the distribution lag non-linear model(DLNM).The effect of temperature and humidity interaction on Rt of influenza was explored.The multiple random-meta analysis was used to evaluate region-specific association.The excess risk(ER)index was defined to investigate the correlation between Rt and each meteorological factor with the modification of seasonal and regional characteristics.Results:Low temperature and low relative humidity contributed to influenza epidemics on the national level,while shapes of merged cumulative effect plots were different across regions.Compared to that of median temperature,the merged RR(95%CI)of low tem-perature in northern and southern regions were 1.40(1.24,1.45)and 1.20(1.14,1.27),respectively,while those of high temperature were 1.10(1.03,1.17)and 1.00(0.95,1.04),respectively.There were negative interactions between temperature and relative humidity on national(SI=0.59,95%CI:0.57e0.61),southern(SI=0.49,95%CI:0.17e0.80),and northern regions(SI=0.59,95%CI:0.56,0.62).In general,with the increase of the change of the two meteorological factors,the ER of Rt also gradually increased.Conclusions:Temperature and relative humidity have an effect on the influenza epidemics in China,and there is an interaction between the two meteorological factors,but the effect of each factor is heterogeneous among regions.Meteorological factors may be considered to predict the trend of influenza epidemic.展开更多
General survey ofhypertension has beencarried out in our coun—try for three times.Thelast time was in 1999,with the result showingthat in our country theincidence of hyperten-sion among people over15 years old was11...General survey ofhypertension has beencarried out in our coun—try for three times.Thelast time was in 1999,with the result showingthat in our country theincidence of hyperten-sion among people over15 years old was11.26％.The incidencehas been raised by 25％展开更多
作为海洋生态系统的关键组成部分,鱼类在食物网中的相对重要性直接影响着整个生态系统的稳定性。目前已使用了多个复杂网络中心性指标如Katz指数、PPR指数等来评估鱼类的重要性,但这些指标侧重点各不相同,为确保不同中心性指标对鱼类重...作为海洋生态系统的关键组成部分,鱼类在食物网中的相对重要性直接影响着整个生态系统的稳定性。目前已使用了多个复杂网络中心性指标如Katz指数、PPR指数等来评估鱼类的重要性,但这些指标侧重点各不相同,为确保不同中心性指标对鱼类重要性刻画的适用性,并能够综合评价鱼类对食物网稳定性的影响,本研究系统性定义了包括鱼类度中心性、鱼类信息中心性等的鱼类中心性指标,并提出一种多中心性指标相似度融合(Multi-centrality Index Similarity Fusion,MISF)方法。该方法构建包含多种网络中心性指标的鱼类特征矩阵,提出基于余弦相似度、欧氏距离和相对熵融合的鱼类相似度计算并使用熵权法确定各指标权重,最终实现鱼类综合重要性排序。本研究以2016—2018年珠江口海域鱼类捕食关系网数据为研究对象,开展了鱼类重要性评估,实验结果表明,与Katz指数、PPR指数等方法相比,该方法可以有效评估鱼类在食物网中的相对重要性。在2016和2018年数据集中,MISF方法的精确率和召回率分别达到1.0和0.5,显著优于其他方法,而在2017年数据集中,尽管网络规模增大导致精确率略低于Katz和PPR指数,但召回率表现更佳。此外,根据鱼类在食物网中的不同重要性级别,讨论了它们由于数量变动对网络稳定性产生的影响差异。本研究为鱼类资源管理提供了新的视角。展开更多
基金supported by the National Natural Science Foundation of China(82073673)National Key R&D Program of China(2022YFC2304000).
文摘Background:Evidence is inefficient about how meteorological factors influence the trends of influenza transmission in different regions of China.Methods:We estimated the time-varying reproduction number(Rt)of influenza and explored the impact of temperature and relative humidity on Rt using generalized additive quasi-Poisson regression models combined with the distribution lag non-linear model(DLNM).The effect of temperature and humidity interaction on Rt of influenza was explored.The multiple random-meta analysis was used to evaluate region-specific association.The excess risk(ER)index was defined to investigate the correlation between Rt and each meteorological factor with the modification of seasonal and regional characteristics.Results:Low temperature and low relative humidity contributed to influenza epidemics on the national level,while shapes of merged cumulative effect plots were different across regions.Compared to that of median temperature,the merged RR(95%CI)of low tem-perature in northern and southern regions were 1.40(1.24,1.45)and 1.20(1.14,1.27),respectively,while those of high temperature were 1.10(1.03,1.17)and 1.00(0.95,1.04),respectively.There were negative interactions between temperature and relative humidity on national(SI=0.59,95%CI:0.57e0.61),southern(SI=0.49,95%CI:0.17e0.80),and northern regions(SI=0.59,95%CI:0.56,0.62).In general,with the increase of the change of the two meteorological factors,the ER of Rt also gradually increased.Conclusions:Temperature and relative humidity have an effect on the influenza epidemics in China,and there is an interaction between the two meteorological factors,but the effect of each factor is heterogeneous among regions.Meteorological factors may be considered to predict the trend of influenza epidemic.
文摘General survey ofhypertension has beencarried out in our coun—try for three times.Thelast time was in 1999,with the result showingthat in our country theincidence of hyperten-sion among people over15 years old was11.26％.The incidencehas been raised by 25％
文摘作为海洋生态系统的关键组成部分,鱼类在食物网中的相对重要性直接影响着整个生态系统的稳定性。目前已使用了多个复杂网络中心性指标如Katz指数、PPR指数等来评估鱼类的重要性,但这些指标侧重点各不相同,为确保不同中心性指标对鱼类重要性刻画的适用性,并能够综合评价鱼类对食物网稳定性的影响,本研究系统性定义了包括鱼类度中心性、鱼类信息中心性等的鱼类中心性指标,并提出一种多中心性指标相似度融合(Multi-centrality Index Similarity Fusion,MISF)方法。该方法构建包含多种网络中心性指标的鱼类特征矩阵,提出基于余弦相似度、欧氏距离和相对熵融合的鱼类相似度计算并使用熵权法确定各指标权重,最终实现鱼类综合重要性排序。本研究以2016—2018年珠江口海域鱼类捕食关系网数据为研究对象,开展了鱼类重要性评估,实验结果表明,与Katz指数、PPR指数等方法相比,该方法可以有效评估鱼类在食物网中的相对重要性。在2016和2018年数据集中,MISF方法的精确率和召回率分别达到1.0和0.5,显著优于其他方法,而在2017年数据集中,尽管网络规模增大导致精确率略低于Katz和PPR指数,但召回率表现更佳。此外,根据鱼类在食物网中的不同重要性级别,讨论了它们由于数量变动对网络稳定性产生的影响差异。本研究为鱼类资源管理提供了新的视角。
