Massad Eduardo, Amaku Marcos, Coutinho Francisco Antonio Bezerra, Struchiner Claudio José, Lopez Luis Fernandez, Wilder-Smith Annelies, Burattini Marcelo Nascimento
School of Medicine, University of Sao Paulo, Brazil.
London School of Hygiene and Tropical Medicine, UK.
Infect Dis Model. 2017 Dec 8;2(4):441-454. doi: 10.1016/j.idm.2017.12.001. eCollection 2017 Nov.
In this paper we present a model to estimate the density of aedes mosquitoes in a community affected by dengue. The method consists in fitting a continuous function to the incidence of dengue infections, from which the density of infected mosquitoes is derived straightforwardly. Further derivations allow the calculation of the latent and susceptible mosquitoes' densities, the sum of the three equals the total mosquitoes' density. The method is illustrated with the case of the risk of urban yellow fever resurgence in dengue infested areas but the same procedures apply for other aedes-transmitted infections like Zika and chikungunya viruses.
在本文中,我们提出了一个模型,用于估计受登革热影响社区中伊蚊的密度。该方法包括对登革热感染发病率拟合一个连续函数,由此可直接得出受感染蚊子的密度。进一步的推导可以计算出潜伏和易感蚊子的密度,这三者的总和等于蚊子的总密度。文中以登革热疫区城市黄热病再次流行的风险为例进行了说明,但同样的程序也适用于其他由伊蚊传播的感染,如寨卡病毒和基孔肯雅病毒。