Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; State Key Laboratory of Pathogen and Biosecurity, Beijing 100071, China.
Boston University, 888 Commonwealth Avenue, Boston, MA 02215, USA.
J Infect. 2018 Mar;76(3):295-304. doi: 10.1016/j.jinf.2017.12.015. Epub 2018 Feb 2.
An early steep increase in the number of humans infected with avian influenza A(H7N9) virus was observed in China, raising great public concern domestically and internationally. Little is known about the dynamics of the transmission contacts between poultry and human populations, although such understanding is essential for developing effective strategies to control this zoonosis. In this study, we evaluated the effects of contact reductions from live poultry markets (LPMs) closures on the transmission of H7N9 virus during epidemics in Guangdong Province, China. A mathematical model of the poultry-to-person transmission dynamics of H7N9 virus was constructed. The parameters in the model were estimated from publicly available data on confirmed cases of human infection and information on LPMs closure during 2013-2017. By fitting the model, we measured the time-dependent contact quantity of the susceptible population to LPMs. The results showed that periodic intervention strategies can greatly reduce the magnitude of outbreaks, and the earlier interventions for policy are implemented, the smaller is the outbreak. The control efforts for LPMs to decrease the contact quantity are critical in preventing epidemics in the long term. This model should provide important insights for the development of a national intervention strategy for the long-term control of avian influenza virus epidemics.
在中国,感染甲型禽流感(H7N9)病毒的人数迅速增加,引起了国内外的高度关注。尽管了解禽类和人群之间的传播接触动态对于制定控制这种人畜共患病的有效策略至关重要,但目前对此知之甚少。在这项研究中,我们评估了关闭活禽市场(LPM)对中国广东省疫情期间 H7N9 病毒传播的影响。我们构建了一个用于描述 H7N9 病毒从禽类向人类传播的数学模型。该模型中的参数是根据 2013 年至 2017 年期间已确诊的人类感染病例以及 LPM 关闭的信息,从公开数据中估计得出的。通过拟合模型,我们测量了易感人群与 LPM 接触数量的时间依赖性。结果表明,周期性干预策略可以大大降低疫情的规模,而且越早实施政策干预,疫情规模就越小。从长期来看,减少与 LPM 接触的控制措施对于预防疫情至关重要。该模型可为制定长期控制禽流感病毒疫情的国家干预策略提供重要的见解。