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应用于水痘爆发的确定性易感-感染-康复(SIR)模型。

Deterministic SIR (Susceptible-Infected-Removed) models applied to varicella outbreaks.

作者信息

Giraldo J Ospina, Palacio D Hincapié

机构信息

EAFIT (University) Grupo de Lógica y Computación, Medellín, Colombia.

出版信息

Epidemiol Infect. 2008 May;136(5):679-87. doi: 10.1017/S0950268807009260. Epub 2007 Jul 26.

Abstract

Deterministic SIR models were applied to simulate Susceptible-Infected-Removed and to estimate the threshold condition for varicella outbreaks in children, reported in Medellín, Colombia. The expected numbers of susceptible, infected and removed individuals were compared with observed cases from notification of varicella outbreaks to the local Board of Health and from survey data. The threshold condition was estimated by the basic reproductive ratio and by the relative removal rate, through which measures for preventing and curtailing the outbreaks were identified. The model demonstrated a reasonable fit to the observations, except in two of the six outbreaks which probably reflected under-registration of cases. In order to have prevented these outbreaks, between 4.4% and 52.9% of the susceptible population should have been vaccinated assuming an 85% vaccine effectiveness. Similarly, isolation of affected children should have been increased to between 4.3% and 44.8% per week.

摘要

确定性SIR模型被用于模拟易感-感染-康复情况,并估计哥伦比亚麦德林市报告的儿童水痘暴发的阈值条件。将易感、感染和康复个体的预期数量与向当地卫生局报告的水痘暴发通知中的观察病例以及调查数据进行了比较。通过基本繁殖率和相对清除率估计阈值条件,据此确定预防和控制暴发的措施。该模型与观察结果显示出合理的拟合度,但六次暴发中有两次除外,这两次可能反映了病例登记不足的情况。为了预防这些暴发,假设疫苗有效性为85%,则易感人群中4.4%至52.9%的人应接种疫苗。同样,受影响儿童的隔离率应每周提高到4.3%至44.8%。

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