2015
DOI: 10.1158/1055-9965.epi-14-1052
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Changing Inequalities in Cervical Cancer: Modeling the Impact of Vaccine Uptake, Vaccine Herd Effects, and Cervical Cancer Screening in the Post-Vaccination Era

Abstract: Background: Inequalities in cervical cancer may be increased following mass vaccination against the human papillomavirus (HPV) if girls with low vaccine uptake also have low future participation in cervical cancer screening. We evaluated how vaccine uptake distribution affects inequalities in squamous cell carcinoma (SCC) incidence between groups with different screening participation.Methods: We used an individual-based transmission dynamic model of HPV infection and disease (HPV-ADVISE). Females were stratif… Show more

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Cited by 15 publications
(7 citation statements)
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References 70 publications
(101 reference statements)
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“…Socioeconomic factors such as education, income, and health insurance were important variables in our model, and are likely to be positively associated with both HPV vaccination and cervical screening. One modeling study suggests that HPV vaccination will reduce overall screening rates, but that current inequities will persist as long as some populations have low rates of vaccination and screening (Malagon et al, 2015). Future studies to determine factors in screening by HPV vaccination status may elucidate additional important findings.…”
Section: Discussionmentioning
confidence: 99%
“…Socioeconomic factors such as education, income, and health insurance were important variables in our model, and are likely to be positively associated with both HPV vaccination and cervical screening. One modeling study suggests that HPV vaccination will reduce overall screening rates, but that current inequities will persist as long as some populations have low rates of vaccination and screening (Malagon et al, 2015). Future studies to determine factors in screening by HPV vaccination status may elucidate additional important findings.…”
Section: Discussionmentioning
confidence: 99%
“…This work builds on a number of other studies that have raised the question of how differences in uptake of vaccination and cervical screening will affect equality in HPV-related disease outcomes. Initial explorations considered hypothetical cases of increasing assortative mixing (assortativity) in partner choice, 14 , 15 , 16 , 17 others used ethnicity-specific data on vaccination and screening uptake but did not consider sexual mixing. 18 , 19 The strength of this study lies in the data-grounded modelling approach: by using an individual-based transmission dynamic model, we have been able to incorporate heterogeneity in both sexual and health-protective behaviour by ethnicity, including detailed data on partner choice by ethnicity and age, and to track an individual's life history of infection, vaccination, and disease.…”
Section: Discussionmentioning
confidence: 99%
“…To understand the complicated nature of infection dynamics and disease progression, and the multiple behavioural and demographic factors such as those associated with HPV and cervical cancer, mathematical models are often used. 12 , 13 , 14 Recent studies have considered the hypothetical effect of HPV vaccination on health inequality 14 , 15 , 16 , 17 and others have questioned the implications of difference in vaccination uptake by ethnicity; 18 , 19 however, none to our knowledge have made a data-based evaluation of the implicit dependency of sexual mixing and health-care-seeking behaviour.…”
Section: Introductionmentioning
confidence: 99%
“…It is a disease that disproportionately burdens disadvantaged ethnic minorities and women living in poverty in affluent countries, and the poorest women in poor countries [ 1 4 ]. Acknowledging population disparities in cervical cancer incidence is not new; cervical cancer has a long reputation of being a disease that disproportionately affects women of low socioeconomic status (SES) [ 1 , 4 – 7 ]. Much of this cancer incidence is, in theory, preventable.…”
Section: Introductionmentioning
confidence: 99%
“…However while organised programs aim to provide equality of opportunity, equality of outcome is rarely achieved. Disparities in screening uptake also exist; even in countries with equal and free access to screening there have been differences in uptake along SES lines with testing rates decreasing as SES decreases [ 1 , 3 , 10 ]. Despite extensive research on underscreened populations and the barriers to participation those communities face [ 11 13 ], discrepancies in uptake remain [ 8 , 14 ].…”
Section: Introductionmentioning
confidence: 99%