Optimal ages of vaccination for measles

Hethcote, Herbert W.

doi:10.1016/0025-5564(88)90111-3

Cited by 70 publications

(51 citation statements)

References 36 publications

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“…Should all geographical locations be treated identically or should there be a greater emphasis placed on urban compared to rural areas? Mathematical models have been useful for estimating a critical vaccination level that will eradicate an infection (May & Anderson 1984;Hethcote 1988;Anderson & May 1991;Agur et al 1993;Nokes & Swinton 1997;Stone et al 1998).…”

Section: Introductionmentioning

confidence: 99%

Population dynamic interference among childhood diseases

Rohani

Earn

Finkenstädt

et al. 1998

Proc. R. Soc. Lond. B

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Epidemiologists usually study the interaction between a host population and one parasitic infection. However, di¡erent parasite species e¡ectively compete, in an ecological sense, for the same ¢nite group of susceptible hosts, so there may be an indirect e¡ect on the population dynamics of one disease due to epidemics of another. In human populations, recovery from any serious infection is normally preceded by a period of convalescense, during which infected individuals stay at home and are e¡ectively shielded from exposure to other infectious diseases. We present a model for the dynamics of two infectious diseases, incorporating a temporary removal of susceptibles. We use this model to explore population-level consequences of a temporary insusceptibility in childhood diseases, the dynamics of which are partly driven by di¡erences in contact rates in and out of school terms. Signi¢cant population dynamic interference is predicted and cannot be dismissed in the limited case-study data available for measles and whooping cough in England before the vaccination era.

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Section: Introductionmentioning

confidence: 99%

Population dynamic interference among childhood diseases

Rohani

Earn

Finkenstädt

et al. 1998

Proc. R. Soc. Lond. B

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“…Attention has been given to vaccination and treatment policies both in term of different vaccine classes (all/nothing, leaky) and associated costs ( [7][8][9]). Since the disease can go to an endemic level, control strategies to vaccination are usually implemented to eradicate the disease or at least to lower its prevalence to reasonable level.…”

Section: S (T) = µ − β S(t)i (T) − (µ + φ)S(t) + θ V (T) + λI (T) I (mentioning

confidence: 99%

On a stochastic disease model with vaccination

Tornatore

Buccellato

Vetro

2006

Rend. Circ. Mat. Palermo

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“…From the force of infection calculated as above we can estimate the optimal age to routinely vaccinate the target population according to the following equation 15 : (6) where E is the life-time risk of acquiring the infection, the function C(a) is the age-dependent seroconversion to the vaccine and the function R(a) is some function of the age-dependent "undesirability" of the disease, estimated from the clinical gravity of dengue for age stratum. Figure 3 shows the vaccine seroconversion function C(a).…”

Section: Calculation Of the Optimal Age To Vaccinate Against Denguementioning

confidence: 99%

Designing a vaccination strategy against dengue

Amaku

Coudeville

Massad

2012

Rev. Inst. Med. trop. S. Paulo

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SUMMARYIn this work we propose a mathematical approach to estimate the dengue force of infection, the average age of dengue first infection, the optimum age to vaccinate children against dengue in a routine fashion and the optimum age interval to introduce the dengue vaccine in a mass vaccination campaign. The model is based on previously published models for vaccination against other childhood infections, which resulted in actual vaccination programmes in Brazil. The model was applied for three areas of distinct levels of endemicity of the city of Recife in Northeastern State of Pernambuco, Brazil. Our results point to an optimal age to introduce the dengue vaccine in the routine immunization programme at two years of age and an age interval to introduce a mass vaccination between three and 14 years of age.

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Optimal ages of vaccination for measles

Cited by 70 publications

References 36 publications

Population dynamic interference among childhood diseases

Population dynamic interference among childhood diseases

On a stochastic disease model with vaccination

Designing a vaccination strategy against dengue

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