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A simple approximate mathematical model to predict the number of severe acute respiratory syndrome cases and deaths.一个用于预测严重急性呼吸综合征病例数和死亡数的简单近似数学模型。
J Epidemiol Community Health. 2003 Oct;57(10):831-5. doi: 10.1136/jech.57.10.831.
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Virus pathogens suggest an autumn return.病毒病原体显示秋季可能卷土重来。
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日本对严重急性呼吸综合征潜在应对措施的建模:初始感染规模、预防措施及隔离的作用。

Modelling potential responses to severe acute respiratory syndrome in Japan: the role of initial attack size, precaution, and quarantine.

作者信息

Nishiura H, Patanarapelert K, Sriprom M, Sarakorn W, Sriyab S, Ming Tang I

机构信息

Bangkok School of Tropical Medicine, Mahidol University, Thailand.

出版信息

J Epidemiol Community Health. 2004 Mar;58(3):186-91. doi: 10.1136/jech.2003.014894.

DOI:10.1136/jech.2003.014894
PMID:14966229
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1732706/
Abstract

BACKGROUND

There has been an outbreak of the severe acute respiratory syndrome (SARS) worldwide. With the use of detailed epidemiological data from other countries, this article describes the possible reason for the SARS epidemic not appearing in Japan, and simulates the impact of different control strategies that can break the transmission cycle of SARS associated coronavirus.

METHOD

Mathematical modelling is used for predicting the epidemiological outcome and simultaneously for evaluating the effect of interventions on SARS. The study estimates the initial attack size that would result in failed invasion. Three different interventions have been incorporated into the public health response policies; precautionary public health measures, isolation of infected people, and quarantine of exposed humans.

RESULTS

The maximum number of humans newly infected could be roughly estimated on the basis of the initial attack size, using simple formulas. It is seen that the introduction of only a few cases into certain communities would not lead easily to an epidemic. The possible trajectories of SARS epidemic depend on the levels of public health interventions as quarantine and precautionary public health measures greatly affected the transmissibility of the disease. It is shown that there exist threshold levels of interventions at which the SARS epidemic settles down.

CONCLUSION

Initial attack size is one of the determinants of whether SARS can successfully invade the community or not. Two of the most effective policy procedures to prevent new infections would be to apply stringent precautionary measures and to impose quicker and more effective quarantine of the exposed populace.

摘要

背景

严重急性呼吸综合征(SARS)已在全球爆发。本文利用其他国家的详细流行病学数据,描述了SARS疫情未在日本出现的可能原因,并模拟了不同控制策略对严重急性呼吸综合征相关冠状病毒传播周期的影响。

方法

采用数学建模来预测流行病学结果,并同时评估干预措施对SARS的效果。该研究估计了导致入侵失败的初始攻击规模。三种不同的干预措施已纳入公共卫生应对政策中;预防性公共卫生措施、感染者隔离和接触者检疫。

结果

使用简单公式,可根据初始攻击规模大致估算新感染人类的最大数量。可以看出,在某些社区仅引入少数病例不会轻易引发疫情。SARS疫情的可能轨迹取决于公共卫生干预措施的水平,因为检疫和预防性公共卫生措施极大地影响了疾病的传播性。结果表明,存在使SARS疫情得到控制的干预阈值水平。

结论

初始攻击规模是SARS能否成功侵入社区的决定因素之一。预防新感染的两个最有效政策措施是实施严格的预防措施,以及对接触人群进行更快、更有效的检疫。