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| 1 | 全球变化对人类传染病发生与传播的影响显示文摘在自然条件与人类活动加速全球变化的驱动下,传染病发生和传播的模式也在发生改变.自然因素尤其是气候变化将直接或间接影响许多传染病的暴发和传播.气温、降水、湿度和光照等气象要素通过影响病原体、宿主和疾病的传播媒介,从而改变传染病的发生和传播;极端气候事件引起的干旱、洪涝等气象灾害会直接对人类造成伤害并影响传染病的发生与传播;地表生态系统包括下垫面类型和植被分布也会间接对传染病的暴发产生影响.人类活动也是影响传染病传播的间接动力.其中,国际化、普遍化的旅行以及农村向城市的人口迁移所造成的人口流动是传染病大规模传播的根本原因;快速城市化伴随的城市基础设施滞后以及城市边缘传染病的高风险将改变传染病及其造成死亡的模式;农业侵占、森林砍伐等土地利用变化,已经引发了一系列疾病暴发并改变了许多地方病的传播方式;飞速发展的航空、公路和铁路交通运输,不但加快了疾病传播的速度,也扩大了疾病传播的范围.另外,频繁的经济贸易增加了传染病暴发的可能性,为病原体远距离扩散、新型病毒随牲畜贸易沿途扩散等提供了途径. | 吴晓旭 田怀玉 周森 陈丽凡 徐冰 | 2013 | 中国科学:地球科学2013,43,11: | 47 |
| 2 | 职业暴露人群人感染高致病性禽流感H5N1风险研究进展显示文摘当前,全球高致病性禽流感[PHAI(H5N1)]疫情形式仍十分严峻,人间HPAI(H5N1)疫情风险将持续存在,从事禽类养殖及活禽市场交易工作的人员是HPAI(H5N1)禽流感病毒感染的高危人群。以发生疫情后的应急应对模式难以应对当前和未来不断增大的疫情风险挑战。开展职业暴露人群人感染PHAI(H5N1)风险管理,在减少人感染病例的发生显得更为重要。本课题组在查阅分析相关文献基础上,归纳职业暴露中人感染HPAI(H5N1)的风险因子及风险评估方法,为加强职业暴露人群人感染HPAI(H5N1)风险管理提供参考。 | 朱军礼 张子根 王凤英 吴晓虹 | 2012 | 中国预防医学杂志2012,13,10: | 25 |
| 3 | Impact of global change on transmission of human infectious diseases显示文摘Global change,which refers to large-scale changes in the earth system and human society,has been changing the outbreak and transmission mode of many infectious diseases.Climate change affects infectious diseases directly and indirectly.Meteorological factors including temperature,precipitation,humidity and radiation influence infectious disease by modulating pathogen,host and transmission pathways.Meteorological disasters such as droughts and floods directly impact the outbreak and transmission of infectious diseases.Climate change indirectly impacts infectious diseases by altering the ecological system,including its underlying surface and vegetation distribution.In addition,anthropogenic activities are a driving force for climate change and an indirect forcing of infectious disease transmission.International travel and rural-urban migration are a root cause of infectious disease transmission.Rapid urbanization along with poor infrastructure and high disease risk in the rural-urban fringe has been changing the pattern of disease outbreaks and mortality.Land use changes,such as agricultural expansion and deforestation,have already changed the transmission of infectious disease.Accelerated air,road and rail transportation development may not only increase the transmission speed of outbreaks,but also enlarge the scope of transmission area.In addition,more frequent trade and other economic activities will also increase the potential risks of disease outbreaks and facilitate the spread of infectious diseases. | WU XiaoXu TIAN HuaiYu ZHOU Sen CHEN LiFan XU Bing | 2014 | Science China Earth Sciences2014,57,2: | 6 |
| 4 | Spatial prediction and analysis of Himalayan marmot plague natural epidemic foci in China based on HJ-1 satellite data显示文摘Plague,caused by the gram-negative bacterium Yersinia pestis,is a serious and rapidly progressing illness in humans that can be fatal if not treated effectively.The Qinghai-Tibet Plateau is the largest area of natural Himalayan marmot(Marmota himalayana) plague foci in China and covers more than 630000 km2.Akesai County in Gansu Province is a part of this natural focus of plague and was chosen as a study area.Our study used an ecological niche modeling(ENM) approach to predict the potential distribution of the Himalayan marmot.Environment and Disaster Monitor Satellite(HJ-1) data was used to investigate environment factors that affect plague host animal activity.Host animal point data from active surveillance was combined with environmental variables from the HJ-1 satellite and other databases,and the models of the potential distribution of Himalayan marmot were produced with the Genetic Algorithm for Rule-Set Production(GARP).The probability of marmot presence was divided into 0-5%,5%-20%,20%-40%,40%-80%,and 80%-100% subgroups.Areas with 80%-100% probability exhibited the greatest potential for the presence of Himalayan marmot.According to the predicted potential distribution of Himalayan marmot in the study area,active surveillance of plague hosts and plague control and prevention could be more efficient. | GAO MengXu1,4,LI XiaoWen1,2,CAO ChunXiang1,ZHANG Hao1,LI Qun3,ZHOU Hang3 HE QiSheng1,4,XU Min1,4,ZHAO Jian1,4,ZHENG Sheng1,4 & CHEN Wei1,4 1State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China 2School of Geography,Beijing Normal University,Beijing 100875,China 3Office for Disease Control and Emergency Response,Chinese Center for Disease Control and Prevention,Beijing 102206,China 4Graduate University of Chinese Academy of Sciences,Beijing 100049,China | 2010 | Science China Earth Sciences2010,53,S1: | 5 |
| 5 | Influenza A (H1N1) transmission by road traffic between cities and towns显示文摘Influenza A (H1N1) was spread widely between cities and towns by road traffic and had a major impact on public health in China in 2009. Understanding regulation of its transmission is of great significance with urbanization ongoing and for mitigation of damage by the epidemic. We analyzed influenza A (H1N1) spatiotemporal transmission and risk factors along roads in Changsha, and combined diffusion velocity and floating population size to construct an epidemic diffusion model to simulate its transmission between cities and towns. The results showed that areas along the highways and road intersections had a higher incidence rate than other areas. Expressways and county roads played an important role in the rapid development stage and the epidemic peak, respectively, and intercity bus stations showed a high risk of disease transmission. The model simulates the intensity and center of disease outbreaks in cities and towns, and provides a more complete simulation of the disease spatiotemporal process than other models. | XIAO Hong TIAN HuaiYu ZHAO Jian ZHANG XiXing LI YaPin LIU Yi LIU RuChun CHEN TianMu | 2011 | Chinese Science Bulletin2011,56,24: | 4 |
| 6 | 成都市2021年秋季重组禽流感(H5+H7) 三价灭活苗免疫抗体水平的监测与分析显示文摘为监测成都市重组禽流感(H5+H7)三价灭活苗(H5N2 rSD57株+rFJ56株,H7N9 rLN79株)的免疫抗体水平,从成都市15个区(市)县的部分规模化养殖场、散养户中采集禽血清样本1320份,利用血凝和血凝抑制(HA-HI)试验监测H5和H7亚型禽流感的免疫抗体水平。结果得出:2021年秋季成都地区15个区(市)县禽流感的免疫抗体合格率为93.9%~99.8%;规模场H5亚型禽流感(rFJ56株、rSD57株)、H7亚型禽流感(rLN79株)的免疫抗体合格率分别为93.6%(674/720)、99.0%(713/720)、99.7%(718/720),散养户免疫抗体合格率分别为94.3%(566/600)、98.2%(589/600)、100.0%(600/600),各区(市)县之间免疫抗体合格率差异较小。本研究结果表明,重组禽流感(H5+H7)三价灭活苗能够使禽群产生有效的抗体水平,该结果为做好H5、H7亚型高致病性禽流感的预防与控制工作提供了参考。 | 陈雯 林鑫 王凤艺 雷玉 黄云川 李桂黎 李敏 | 2022 | 四川畜牧兽医2022,49,11: | 2 |
| 7 | District prediction of cholera risk in China based on environmental factors显示文摘The epidemics of cholera are impacted by many climatic and environmental factors such as precipitation, temperature, elevation and so on. The paper analyzed the suitable degree of V. cholerae in China using MaxEnt based on some geographic and climatic factors, and predicted the cholera risk in each district of China according to the suitable degree. The result shows that the areas in coastal southeast, central China and western Sichuan Basin are relatively suitable for V. cholerae and the suitable degree is higher in the Xinjiang Basin than in surrounding areas. The variables of precipitation, temperature and DEM are three main environmental risky factors that affecting the distribution of cholera in China. The variables of relative humidity, the distance to the sea and air pressure also have impacts on cholera, but sunshine duration and drainage density have little impact. The AUC value of MaxEnt based model is above 0.9 which indicates a high accuracy. | XU Min CAO ChunXiang WANG DuoChun KAN Biao JIA HuiCong XU YunFei LI XiaoWen | 2013 | Chinese Science Bulletin2013,58,23: | 1 |
| 8 | Methodologies and applications in Digital China显示文摘This article portrays a concise review on an extensive range of state-of-art advancement in methodologies and applications for Digital China,which includes models,algorithms,theory framework,engineering technology,science methodology,practice applications,etc. | WENG JingNong RAFIQUE Irfan ABBASI Maissom Qanber | 2012 | Chinese Science Bulletin2012,57,28: | 0 |
| 9 | Modeling of epidemic spreading with white Gaussian noise显示文摘Motivated by the need to include the different characteristics of individuals and the damping effect in predictions of epidemic spreading, we build a model with variant coefficients and white Gaussian noise based on the traditional SIR model. The analytic and simulation results predicted by the model are presented and discussed. The simulations show that using the variant coefficients results in a higher percentage of susceptible individuals and a lower percentage of removed individuals. When the noise is included in the model, the percentage of infected individuals has a wider peak and more fluctuations than that predicted using the traditional SIR model. | GU Jiao GAO ZongMao Li Wei | 2011 | Chinese Science Bulletin2011,56,34: | 0 |