Drivers of airborne human-to-human pathogen transmission.
Drivers of airborne human-to-human pathogen transmission.
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DOI：
10.1016/j.coviro.2016.11.006
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发表时间：
2017-03
影响因子：
5.9
通讯作者：
Menge C
中科院分区：
文献类型：
--
作者：
Herfst S;Böhringer M;Karo B;Lawrence P;Lewis NS;Mina MJ;Russell CJ;Steel J;de Swart RL;Menge C
建立了个体供体和受体之间的病原体传播链模型。对比了相关的高效和低效的“空气传播”病原体。驱动程序在组织、个人、社区、国家和全球层面上运行。病原体的进化和宿主相互作用的变化加剧了大流行的风险。最终驱动因素包括社会经济发展和气候变化。空气传播的病原体-通过气溶胶或飞沫传播-包括各种高度传染性和危险的微生物，如天花病毒、麻疹病毒、甲型流感病毒、结核分枝杆菌、肺炎链球菌和百日咳杆菌。新出现的人畜共患病病原体，例如MERS冠状病毒、禽流感病毒、柯克斯体和弗朗西斯菌，如果获得有效的人传人，将具有大流行的潜力。在这里，我们综合了来自微生物，医学，社会和经济科学的见解，以提供已知的雾化传播机制，并确定限制应急准备计划的知识差距。特别是，我们提出了一个框架的司机促进人与人之间的传输与个人之间的空域作为中间阶段。该模型有望加强新型病原体的识别和风险评估。
Chain of pathogen transmission between individual donor and recipient is modeled. Related pairs of efficient and inefficient ‘airborne’ pathogens are contrasted. Drivers operate on tissue, individual, community, country, and global levels. Pandemic risk is heightened by pathogen evolution and changes in host interaction. Ultimate drivers include socio-economic developments and climate changes. Airborne pathogens — either transmitted via aerosol or droplets — include a wide variety of highly infectious and dangerous microbes such as variola virus, measles virus, influenza A viruses, Mycobacterium tuberculosis, Streptococcus pneumoniae, and Bordetella pertussis. Emerging zoonotic pathogens, for example, MERS coronavirus, avian influenza viruses, Coxiella, and Francisella, would have pandemic potential were they to acquire efficient human-to-human transmissibility. Here, we synthesize insights from microbiological, medical, social, and economic sciences to provide known mechanisms of aerosolized transmissibility and identify knowledge gaps that limit emergency preparedness plans. In particular, we propose a framework of drivers facilitating human-to-human transmission with the airspace between individuals as an intermediate stage. The model is expected to enhance identification and risk assessment of novel pathogens.
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影响因子：
2.6
作者：
Fernstrom A;Goldblatt M
通讯作者：
Goldblatt M
影响因子：
64.5
作者：
Linster M;van Boheemen S;de Graaf M;Schrauwen EJA;Lexmond P;Mänz B;Bestebroer TM;Baumann J;van Riel D;Rimmelzwaan GF;Osterhaus ADME;Matrosovich M;Fouchier RAM;Herfst S
通讯作者：
Herfst S
影响因子：
3.1
作者：
CROWLE, AJ;ELKINS, N
通讯作者：
ELKINS, N
影响因子：
5.9
作者：
Borderia, Antonio V.;Stapleford, Kenneth A.;Vignuzzi, Marco
通讯作者：
Vignuzzi, Marco
影响因子：
4.2
作者：
Cheng, Y. -H.;Wang, C. -H.;Liao, C. -M.
通讯作者：
Liao, C. -M.