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重构新加坡登革热感染强度的历史变化:对监测与控制的启示

Reconstructing historical changes in the force of infection of dengue fever in Singapore: implications for surveillance and control.

作者信息

Egger Joseph R, Ooi Eng Eong, Kelly David W, Woolhouse Mark E, Davies Clive R, Coleman Paul G

机构信息

Disease Control and Vector Biology Unit, Department of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, England.

出版信息

Bull World Health Organ. 2008 Mar;86(3):187-96. doi: 10.2471/blt.07.040170.

Abstract

OBJECTIVE

To reconstruct the historical changes in force of dengue infection in Singapore, and to better understand the relationship between control of Aedes mosquitoes and incidence of classic dengue fever.

METHODS

Seroprevalence data were abstracted from surveys performed in Singapore from 1982 to 2002. These data were used to develop two mathematical models of age seroprevalence. In the first model, force of infection was allowed to vary independently each year, while in the second it was described by a polynomial function. Model-predicted temporal trends were analysed using linear regression. Time series techniques were employed to investigate periodicity in predicted forces of infection, dengue fever incidence and mosquito breeding.

FINDINGS

Force of infection estimates showed a significant downward trend from 1966, when vector control was instigated. Force of infection estimates from both models reproduced significant increases in the percentage and average age of the population susceptible to dengue infections. Importantly, the year-on-year model independently predicted a five to six year periodicity that was also displayed by clinical incidence but absent from the Aedes household index.

CONCLUSION

We propose that the rise in disease incidence was due in part to a vector-control-driven reduction in herd immunity in older age groups that are more susceptible to developing clinical dengue.

摘要

目的

重建新加坡登革热感染强度的历史变化,以便更好地理解伊蚊控制与典型登革热发病率之间的关系。

方法

血清阳性率数据摘自1982年至2002年在新加坡进行的调查。这些数据被用于建立两个年龄血清阳性率的数学模型。在第一个模型中,允许感染强度每年独立变化,而在第二个模型中,它由一个多项式函数描述。使用线性回归分析模型预测的时间趋势。采用时间序列技术研究预测的感染强度、登革热发病率和蚊虫滋生的周期性。

研究结果

自1966年实施病媒控制以来,感染强度估计值呈显著下降趋势。两个模型的感染强度估计值均显示,易感染登革热的人群百分比和平均年龄显著增加。重要的是,逐年模型独立预测出五到六年的周期性,临床发病率也呈现出这种周期性,但伊蚊家庭指数中没有。

结论

我们认为,疾病发病率的上升部分归因于病媒控制导致更易发生临床登革热的老年人群体的群体免疫力下降。

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