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2
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本文引用的文献

1
The analysis of infection rates in diseases in which superinfection occurs.对发生重复感染的疾病的感染率分析。
Trop Dis Bull. 1950 Oct;47(10):907-15.

一个在非洲稀树草原进行测试的疟疾模型。

A malaria model tested in the African savannah.

作者信息

Dietz K, Molineaux L, Thomas A

出版信息

Bull World Health Organ. 1974;50(3-4):347-57.

PMID:4613512
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2481186/
Abstract

A new mathematical model of malaria has been developed for comparing the effects of alternative control measures. It describes both the temporal changes of the P. falciparum infection rate and the immunity level of the population as a function of the dynamics and characteristics of the vector populations, which are summarized in the concept of vectorial capacity. A critical vectorial capacity is specified, below which malaria cannot maintain itself at an endemic level. The model has been tested with epidemiological data collected in a WHO research project in the African Savannah, Kano State, Northern Nigeria, since October 1970. The estimates of the model parameters were obtained by minimizing the chi(2) function that measures the discrepancy between the observed and expected age-specific parasite rates in the two villages with the highest and the lowest vectorial capacity, respectively, at five surveys during one year of baseline data collection and between the observed and expected infant inoculation rates, in the main transmission seasons, in the same two villages. The model describes three aspects of immunity: loss of infectivity, loss of detectability, and increase of recovery rate. It is assumed that loss of infectivity precedes loss of detectability and increase of recovery rate. Superinfections are slowing down the recovery for high inoculation rates but do not reduce them to zero. They do not increase infectivity.

摘要

一种新的疟疾数学模型已被开发出来,用于比较不同控制措施的效果。它描述了恶性疟原虫感染率的时间变化以及人群免疫力水平,将其作为病媒种群动态和特征的函数,这些动态和特征被总结在媒介能量的概念中。确定了一个关键的媒介能量,低于此值疟疾就无法在地方流行水平维持。该模型已用1970年10月以来在尼日利亚北部卡诺州非洲大草原的一个世卫组织研究项目中收集的流行病学数据进行了测试。模型参数的估计值是通过最小化卡方函数获得的,该函数测量了在一年基线数据收集期间的五次调查中,分别在媒介能量最高和最低的两个村庄中观察到的和预期的年龄特异性寄生虫率之间的差异,以及在主要传播季节中,在相同的两个村庄中观察到的和预期的婴儿接种率之间的差异。该模型描述了免疫力的三个方面:传染性丧失、可检测性丧失和恢复率增加。假定传染性丧失先于可检测性丧失和恢复率增加。重复感染会减缓高接种率下的恢复,但不会将其降至零。它们不会增加传染性。