Impact of coverage-dependent marginal costs on optimal HPV vaccination strategies.
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The effectiveness of vaccinating males against the human papillomavirus (HPV) remains a controversial subject. Many existing studies conclude that increasing female coverage is more effective than diverting resources into male vaccination. Recently, several empirical studies on HPV immunization have been published, providing evidence of the fact that marginal vaccination costs increase with coverage. In this study, we use a stochastic agent-based modeling framework to revisit the male vaccination debate in light of these new findings. Within this framework, we assess the impact of coverage-dependent marginal costs of vaccine distribution on optimal immunization strategies against HPV. Focusing on the two scenarios of ongoing and new vaccination programs, we analyze different resource allocation policies and their effects on overall disease burden. Our results suggest that if the costs associated with vaccinating males are relatively close to those associated with vaccinating females, then coverage-dependent, increasing marginal costs may favor vaccination strategies that entail immunization of both genders. In particular, this study emphasizes the necessity for further empirical research on the nature of coverage-dependent vaccination costs.
SubjectHuman papillomavirus vaccination
Male HPV vaccination
Marginal distribution costs
Optimal vaccine distribution
Stochastic agent-based models
Health Care Rationing
Human papillomavirus 16
Published Version (Please cite this version)10.1016/j.epidem.2015.01.003
Publication InfoRyser, MD; McGoff, K; Herzog, DP; Sivakoff, DJ; & Myers, ER (2015). Impact of coverage-dependent marginal costs on optimal HPV vaccination strategies. Epidemics, 11. pp. 32-47. 10.1016/j.epidem.2015.01.003. Retrieved from https://hdl.handle.net/10161/9500.
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Walter L. Thomas Distinguished Professor of Obstetrics and Gynecology in the School of Medicine
My research interests are broadly in the application of quantitative methods, especially mathematical modeling and decision analysis, to problems in women's health. Recent and current activities include integration of simulation modeling and systematic reviews to inform decisions surrounding cervical, ovarian, and breast cancer prevention and control, screening for postpartum depression, and management of uterine fibroids. We are also engaged in exploring methods for integrating gui
Assistant Professor in Population Health Sciences
For an up-to-date description of my research program please visithttps://ryser.netlify.comAreas of Expertise: Multi-scale modeling, early carcinogenesis, cancer evolution
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