ArticleScientific reports2018
Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Analysis and simulation for a two-sex transmission model of HPV infection in Xinjiang of China.Infectious Disease Modelling · 2026Article
- Analysis of human papillomavirus model with vaccination and individual heterogeneity.Infectious Disease Modelling · 2025Article
- Qualitative assessment of sex-stratified human papillomavirus transmission dynamics in South Korea.BMC public health · 2025Article
- What cancers explain the growing rural-urban gap in human papillomavirus-associated cancer incidence?The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- The impact of vaccination on human papillomavirus infection with disassortative geographical mixing: a two-patch modeling study.Journal of mathematical biology · 2022Article
- An economic and disease transmission model of human papillomavirus and oropharyngeal cancer in Texas.Scientific reports · 2021Article
- Computational modeling of human papillomavirus with impulsive vaccination.Nonlinear dynamics · 2021Article
- Moving toward the elimination of cervical cancer: modelling the health and economic benefits of increasing uptake of human papillomavirus vaccines.Current oncology (Toronto, Ont.) · 2019Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human papillomavirus (HPV)-related cervical cancer is a major public health threat to women, with >10,000 new cases diagnosed annually in the United States between 2008 and 2012. Since HPV vaccines can protect against ~80% of HPV-associated cervical cancers, the economic and epidemiological impacts of HPV vaccination have been extensively investigated, particularly at the national level. However, vaccination policies are state-specific, and state-level models are required for state-specific policy decisions. This study adapted an age-structured population model to describe the dynamics of HPV-related cervical cancer in Texas, with model parameters calibrated for Texas. The Year 2000 parameter set was the start point, and the model's predictions from 2001-2010 were well matched with the real incidence numbers in 23 age groups, suggesting the validity of the model. Application of the model to the Year 2010 parameter set predicted that, over the next 10 decades, incidence would decrease rapidly within the first decade and more slowly thereafter. Sensitivity analysis determined the impact of selected parameters (e.g., vaccine coverage rate) on future disease incidence. When compared with the US parameter sets, the Texas population was more sensitive to changes in HPV transmission and vaccination (e.g., ~8% difference in the predicted disease decline).
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