2009
DOI: 10.1177/0272989x09334419
|View full text |Cite
|
Sign up to set email alerts
|

Incorporating Herd Immunity Effects into Cohort Models of Vaccine Cost-Effectiveness

Abstract: This methodology allows for preliminary assessment of herd immunity effects on CEA of universal vaccination for pediatric infectious diseases. The method requires simple adjustments to an existing cohort model and less data than a full dynamic model.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
44
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 28 publications
(45 citation statements)
references
References 24 publications
1
44
0
Order By: Relevance
“…ISPOR-SMDM Modeling Good Research Practices recommend the use of dynamic transmission models to estimate indirect effects where vaccination may effect transmission of the disease[12]. In the model, indirect effects for vaccinated and unvaccinated persons are estimated using an adaptation of a mathematical approximation of dynamic transmission modeling for use in cohort models [13, 14]. With this approach, the infection rate in each year of the projection for all age-groups ( i = 1 to N ) is multiplied by a scaling factor ( s ) that is calculated as follows: …”
Section: Methodsmentioning
confidence: 99%
“…ISPOR-SMDM Modeling Good Research Practices recommend the use of dynamic transmission models to estimate indirect effects where vaccination may effect transmission of the disease[12]. In the model, indirect effects for vaccinated and unvaccinated persons are estimated using an adaptation of a mathematical approximation of dynamic transmission modeling for use in cohort models [13, 14]. With this approach, the infection rate in each year of the projection for all age-groups ( i = 1 to N ) is multiplied by a scaling factor ( s ) that is calculated as follows: …”
Section: Methodsmentioning
confidence: 99%
“…For example, one method of approximating herd immunity has been proposed that retains a cohort structure but takes into account a gradual reduction in the force of infection until a post-vaccination equilibrium is reached. [55] Figure 3 is a flow diagram with an algorithm with key questions that need to be asked when Q2. Is the disease directly transmitted between humans, and does the intervention affect its potential for transmission?…”
Section: Approximating Herd Immunity In Static Modelsmentioning
confidence: 99%
“…The type of model used in vaccine cost-effectiveness analyses can also affect results; for example, whether the main features of the model change over time (dynamic model) or not (static model). [50][51][52][53][54] The effects of herd immunity, whereby vaccination of part of a population confers partial indirect protection for the remainder, [50,52,54] are not captured in static models (e.g. decision-tree, Markov), which results in an underestimation of the cost effectiveness of a vaccination program.…”
Section: Pharmacoeconomic Analyses Of Monovalent Rotavirus Vaccine Rimentioning
confidence: 99%
“…decision-tree, Markov), which results in an underestimation of the cost effectiveness of a vaccination program. [52,54] Two analyses of rotavirus vaccine RIX4414 included the effects of herd immunity, using data from dynamic transmission models in the sensitivity analyses, and in both cases the inclusion of herd immunity effects markedly improved ICER values. [35,43] …”
Section: Pharmacoeconomic Analyses Of Monovalent Rotavirus Vaccine Rimentioning
confidence: 99%