EPIDEMIOLOGIC EFFECTS OF VARICELLA VACCINATION

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A TRANSMISSION MODEL OF VARICELLA

Halloran et al13, 19 explored the effects of routine immunization of preschool children with live varicella (Oka) vaccine on epidemiology and morbidity using a nonlinear mathematical model of varicella transmission. The model incorporates the possibility of exploring the effect of differing levels of vaccination coverage and different vaccination strategies using a range of assumptions about how the vaccine might change susceptibility to infection and disease, infectiousness of a vaccinated

EFFECT OF VARICELLA VACCINE ON HERPES ZOSTER

Garnett and Grenfell10, 11 studied the effect of vaccination on incidence of zoster. They considered a much narrower range of possible assumptions of how the vaccine might work than discussed previously. They conclude that much better surveillance is needed to understand the effects of vaccination on zoster. Little is understood about VZV in its dormant state in the human host. If postvaccination infection with wild-type VZV is possible, then in principle it would be possible to harbor both the

THE BASIC REPRODUCTIVE NUMBER (R0)

The average number of new infectious cases in a completely susceptible population that one infected individual is expected to produce while he or she is infectious is called the basic reproductive number, R0 (R-zero or R- naught). In general, for an infectious agent to persist in a host population, an average case needs to produce at least one other case—R0 needs to be greater than one. That is, if an infectious person does not produce at least one more infectious person, then the infectious

SUMMARY

For a plausible range of values for the different efficacy characteristics of the live varicella (Oka) vaccine at different levels of coverage, modeling results suggest that routine immunization of preschool children would greatly reduce the number of primary varicella cases, whereas the shift in age distribution of cases would not result in increased overall morbidity as measured by number of hospitalizations. Although information about some of the vaccine assumptions is scanty, the

ACKNOWLEDGMENTS

Expert panel: Ann M. Arvin, MD, Philip A. Brunell, MD, Kathryn M. Edwards, MD, Anne A. Gershon, MD, Caroline B. Hall, MD, and Samuel L. Katz, MD.

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  • Cited by (38)

    • National and provincial burden of varicella disease and cost-effectiveness of childhood varicella vaccination in China from 2019 to 2049: a modelling analysis

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      If vaccination failed or vaccine protection waned over time (into state VS), the vaccinated individuals might become infected (state VE and state VI), i.e., "breakthrough varicella cases". The average time from onset to recovery for breakthrough varicella cases was approximately 4.50 days.24,29 Population data were obtained from the Sixth Population Census of China in 2010.

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      In any case, it is still unclear what of these factors are direct causes of seasonality instead of mere correlates. Varicella is a highly contagious disease caused by the varicella Zoster Virus (VZV) [7,14,15]. This virus is the responsible for both varicella and Herpes Zoster and it has a very high prevalence in populations all around the world.

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    • Economic evaluation of varicella vaccination in Italian children and adolescents according to different intervention strategies: The burden of uncomplicated hospitalised cases

      2008, Vaccine
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      The EVITA model uses an approach similar to that adopted by Halloran and co-workers [13,14]. This is a realistic age-structured deterministic model with a cycle length of the outcomes calculation of 6 months; it combines two fundamental modules: an age-structured module on varicella infection transmission to compute the potential epidemiological outcomes associated with both medical strategies (vaccination or no vaccination) [13,14] in a population over time, and a second module (linked with the first one) predicting the clinical and economic consequences of the disease course in case of infection. The model also takes into account herd immunity effects.

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    Address reprint requests to M. Elizabeth Halloran, MD, MPH, DSc Department of Biostatistics Rollins School of Public Health Emory University 1518 Clifton Road NE Atlanta, GA 30322

    Research for this article was partially supported by NH NIAID RO1-A132042.

    *

    From the Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, Georgia

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