Population-level estimates in timeframes for reaching cervical cancer (CC) elimination (ie, <4 cases per 100,000 women) in the United States may mask potential disparities in achieving elimination among sub-populations. We used three independent Cancer Intervention and Surveillance Modeling Network (CISNET) models to estimate differences in the time to CC elimination across seven strata of correlated screening and human papillomavirus vaccination uptake, based on national survey data. Compared to the average population, elimination was achieved ≥22 years earlier for the high-uptake strata and ≥27 years later for the most extreme low-uptake strata.
View Article and Find Full Text PDFDoubled haploid (DH) techniques remain valuable tools for wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) genetic improvement, and DH populations are used extensively in breeding and research endeavors.
View Article and Find Full Text PDFCOVID-19 disrupted school attendance in many countries, delaying routine adolescent vaccination against human papillomavirus (HPV) in some settings. We used , a dynamic model simulating HPV transmission, natural history, vaccination, cervical screening, and diagnosis of HPV-related cancers, to estimate the impact on HPV-related cancers from disruptions to HPV vaccination in a high-income setting. A baseline scenario of no disruption to HPV vaccination was modelled, which assumed uptake of the nonavalent vaccine at the age of 12 by 82.
View Article and Find Full Text PDFWe evaluated how temporary disruptions to primary cervical cancer (CC) screening services may differentially impact women due to heterogeneity in their screening history and test modality. We used three CC models to project the short- and long-term health impacts assuming an underlying primary screening frequency (i.e.
View Article and Find Full Text PDF