Estimating the Duration of Pertussis Immunity Using Epidemiological Signatures

被引:124
作者
Wearing, Helen J. [1 ,2 ]
Rohani, Pejman [3 ,4 ,5 ]
机构
[1] Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
[2] Univ New Mexico, Dept Math & Stat, Albuquerque, NM 87131 USA
[3] Univ Georgia, Ctr Trop & Emerging Global Dis, Athens, GA 30602 USA
[4] Univ Georgia, Odum Sch Ecol, Athens, GA 30602 USA
[5] NIH, Fogarty Int Ctr, Bethesda, MD 20892 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
STOCHASTIC SIMULATION; VACCINATION; DISEASE; IMMUNIZATION; TRANSMISSION; INFECTION; ENGLAND; ANTIBODIES; IMPACT; MODEL;
D O I
10.1371/journal.ppat.1000647
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Case notifications of pertussis have shown an increase in a number of countries with high rates of routine pediatric immunization. This has led to significant public health concerns over a possible pertussis re-emergence. A leading proposed explanation for the observed increase in incidence is the loss of immunity to pertussis, which is known to occur after both natural infection and vaccination. Little is known, however, about the typical duration of immunity and its epidemiological implications. Here, we analyze a simple mathematical model, exploring specifically the inter-epidemic period and fade-out frequency. These predictions are then contrasted with detailed incidence data for England and Wales. We find model output to be most sensitive to assumptions concerning naturally acquired immunity, which allows us to estimate the average duration of immunity. Our results support a period of natural immunity that is, on average, long-lasting (at least 30 years) but inherently variable.
引用
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页数:11
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