Kwok Kin On, Tang Arthur, Wei Vivian W I, Park Woo Hyun, Yeoh Eng Kiong, Riley Steven
The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China.
Comput Struct Biotechnol J. 2019 Jan 26;17:186-194. doi: 10.1016/j.csbj.2019.01.003. eCollection 2019.
The emergence and reemergence of coronavirus epidemics sparked renewed concerns from global epidemiology researchers and public health administrators. Mathematical models that represented how contact tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.
冠状病毒疫情的出现和再次出现引发了全球流行病学研究人员和公共卫生管理人员新的担忧。为评估不同的感染控制干预措施、估计可能的感染人数以及促进对其可能的流行病学的理解,开发了代表接触者追踪和后续跟进如何控制严重急性呼吸综合征(SARS)和中东呼吸综合征(MERS)传播的数学模型。我们回顾了用于SARS和MERS传播的接触者追踪和后续控制措施的数学模型。总结了七项研究的数学模型中使用的模型特征、流行病学参数和干预参数。在未来的疫情中发现的一个主要问题是,公共卫生管理人员能否在疫情爆发的早期阶段短时间内收集到构建流行病学模型所需的所有数据。此外,目前可用的模型没有明确模拟有限的资源。我们敦促公共卫生管理人员和建模研究人员进行闭环沟通,以制定指导方针,在疫情爆发期间划定所需数据的收集,并在未来类似模型中纳入更多后勤细节。