Next Article in Journal
The Role of Systemic Family Psychotherapy in Glycemic Control for Children with Type 1 Diabetes
Previous Article in Journal
Structured Program for Developing the Psychomotor Skills of Institutionalized Children with Special Educational Needs
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Children
Volume 11
Issue 1
10.3390/children11010103
children-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Modeling the Health Impact and Cost-Effectiveness of a Combined Schoolgirl HPV Vaccination and Cervical Cancer Screening Program in Guangdong Province, China

by
Yating Huang
1,2,
Dantao Zhang
2,
Lihua Yin
2,
Jianguo Zhao
2,
Zhifeng Li
2,
Jing Lu
2,
Xiaoming Zhang
3,
Chenggang Wu
4 and
Wei Wu
1,2,*
1
School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510200, China
2
Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
3
The Second Division Center for Disease Control and Prevention of Xinjiang Production and Construction Corps, Tiemenguan 841007, China
4
Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
*
Author to whom correspondence should be addressed.
Children 2024, 11(1), 103; https://doi.org/10.3390/children11010103
Submission received: 6 December 2023 / Revised: 2 January 2024 / Accepted: 10 January 2024 / Published: 15 January 2024
(This article belongs to the Section Pediatric Infectious Diseases)
Browse Figures
Review Reports Versions Notes

Abstract

:
Low human papillomavirus (HPV) vaccine uptake is a key barrier to cervical cancer elimination. We aimed to evaluate the health impact and cost-effectiveness of introducing different HPV vaccines into immunization programs and scaling up the screening program in Guangdong. We used a dynamic compartmental model to estimate the impact of intervention strategies during 2023–2100. We implemented the incremental cost-effectiveness ratio (ICER) in costs per averted disability-adjusted life year (DALY) as an indicator to assess the effectiveness of the intervention. We used an age-standardized incidence of 4 cases per 100,000 women as the threshold for the elimination of cervical cancer. Compared with the status quo, scaling up cervical cancer screening coverage alone would prevent 215,000 (95% CI: 205,000 to 227,000) cervical cancer cases and 49,000 (95% CI: 48,000 to 52,000) deaths during 2023–2100. If the coverage of vaccination reached 90%, domestic two-dose 2vHPV vaccination would be more cost-effective than single-dose and two-dose 9vHPV vaccination. If Guangdong introduced domestic two-dose 2vHPV vaccination at 90% coverage for schoolgirls from 2023 and increased the screening coverage, cervical cancer would be eliminated by 2049 (95% CI 2047 to 2051). Introducing two doses of domestic 2vHPV vaccination for schoolgirls and expanding cervical cancer screening is estimated to be highly cost-effective to accelerate the elimination of cervical cancer in Guangdong.

1. Introduction

Cervical cancer is a major public health problem worldwide, with an estimated 604,000 new cases, and 342,000 deaths reported in 2020, mainly affecting low- and middle-income countries (LMICs) [1,2]. Human papillomavirus (HPV) vaccination and screening are effective ways to prevent cervical cancer [3]. Despite considerable efforts, screening coverage remains low in many LMICs, and the global vaccine coverage is still suboptimal, with 70% of girls worldwide living in countries that had not yet introduced the HPV vaccine by the end of 2019 [4]. High prices and inadequate supply are the major barriers to HPV vaccine introduction, resulting in growing disparities between countries [5,6,7].
In 2020, cervical cancer was the second-most common cancer type in women in China, with an estimated 109,700 new cases and more than 59,000 deaths [8]. HPV vaccination and screening are effective ways to reduce the incidence and mortality of cervical cancer [3]. In fact, China has not yet included HPV vaccination in its national immunization program (NIP) [9]. The limited supply of HPV vaccine is sold privately and is mostly administered to women aged 15–45 using a three-dose schedule, leaving the World Health Organization (WHO)-recommended primary target group of 9–14-year-old females largely unvaccinated.
Intending to accelerate the elimination of cervical cancer, the Chinese government has developed an expansion of screening coverage plan [10], targeting a screening coverage of 50% in women aged 35–64 by 2025, with the goal of reaching 70% by 2030. Meanwhile, Guangdong province has included the vaccination of adolescent girls with two doses of the domestic HPV vaccine before sexual debut in 2023 [11]. Therefore, we have an unprecedented opportunity to establish a universal vaccination program for schoolgirls, together with an expansion of cervical cancer screening for adult women, to achieve the goal of eliminating cervical cancer.
Five types of HPV vaccines (two domestically manufactured 2vHPVs (Cecolin® and Walrinvax®, Yuxi, China) as well as imported 2vHPV (Cervarix®), 4vHPV (Gardasil®), and 9vHPV vaccines (Gardasil-9®)) are currently available in China. The first domestically manufactured HPV vaccine (Cecolin®) was approved in China in December 2019 and pre-qualified by the WHO in October 2021. The second domestically produced HPV vaccine (Walrinvax®) was also approved in China in 2022. Walrinvax® is currently undergoing WHO prequalification review and is anticipated to be involved in global use shortly afterward. Notably, the latest research evidence indicated that domestic 2vHPV vaccine is comparable in immunogenicity to the imported 2vHPV vaccine [12,13,14,15]. Meanwhile, there are 17 HPV vaccines under clinical trials, with nine of them in phase III, including five 9vHPV vaccines. These developments signal that China’s domestically developed HPV vaccines are on the verge of market introduction. Consequently, this progress is expected to provide the population with a wider range of vaccination options [6,16]. Furthermore, there is growing evidence that a single-dose vaccine could provide high and sustained protection against HPV infection and related diseases [17]. In 2022, the WHO’s Strategic Advisory Group of Experts on Immunization (SAGE) reviewed the evidence on single-dose HPV vaccination and recommended reduced dose schedules. One or two doses are recommended for females aged 9–20 years, while females aged 21 years or older should receive two doses with a 6-month interval. This is considered a potential measure for expediting progress towards the goal of vaccinating 90% of girls by age 15 by 2030 [18,19]. Therefore, to alleviate the constraint of HPV vaccines, it is necessary to estimate the health and economic impact of single-dose and two-dose 9vHPV vaccination strategies.
In this study, we developed an age-structured compartmental model based on local parameters to evaluate the health impact and cost-effectiveness of introducing different HPV vaccines into immunization programs and scaling up the screening in Guangdong province.

2. Methods

2.1. Model Structure

An age-structured compartmental model was used to represent the HPV disease progression through the transmission cycle, including elements such as population dynamics, vaccination, screening, and treatment programs. The HPV transmission portion was adapted from the work of Xiaomeng Ma et al., 2020 [20] and the age structure came from an otherwise unrelated disease transmission model [21]. Herein, the pre-vaccine steady state was used as the initial value of the model, and the model was solved to obtain the full-time path to finally bring the system to a steady state. Figure S1 depicts the general structure of the transmission and age compartments of the proposed model.

2.2. Inputs and Assumptions

The parameters representing the natural history of HPV infection were synthesized from previous modeling studies [13,22,23,24,25,26,27,28,29,30,31,32,33,34] (Table S1).Those related to the acceptability of cervical screening, screening sensitivity, and cure rates of different treatment methods were specifically obtained from peer-reviewed literature [35,36,37] (Table S2). The data on HPV prevalence used to calibrate the model were obtained from epidemiological studies [38,39]. The actual observed cervical cancer incidence and mortality rates between 2010 and 2016 were extracted from the Guangdong cancer registries (Table S3). Demographic data, fertility rate, and age-specific all-cause mortality rates were obtained from the Guangdong Statistical Yearbook 2019 (http://stats.gd.gov.cn/, accessed on 1 June 2022). The costs of domestically manufactured 2vHPV vaccine and imported 9vHPV vaccine were USD 46.63 and USD 191.73 per dose, respectively [40,41], and the vaccine administration cost was estimated at USD 3.83 per dose. The screening costs and treatment costs (CIN1/CIN2/CIN3/cervical cancer) were extracted from previous modeling studies [40,42,43] (Table S4). These costs were converted from Chinese yuan into US dollars (in 2023).

2.3. Model Calibration

We calibrated the model by referring to the epidemiological data of HPV prevalence, incidence, and mortality rates of cervical cancer observed in Guangdong. We applied the Latin hypercube sampling method to randomly pick up parametric values from their confidence interval and generated 2000 different parametric value sets. The mean least squared error was selected as the criterion for calibration. We evaluated the accuracy of outcomes based on 2000 parametric value sets and selected the top 1% results to conduct the subsequent intervention projection. All calibration processes were conducted on the whole population adhering to the status quo strategy and the assumption that the demographic characteristic remained unchanged.

2.4. Alternative Strategies

Given budget constraints, our model proposed a school-based HPV vaccination strategy for girls aged 13–14 years [16]. On the basis of the previous modeling studies [14,44,45], for the domestic 2vHPV vaccine, we assumed its cross-protection equivalent to the 4vHPV vaccine due to their shared aluminum adjuvant formulation. Therefore, we considered only the domestic 2vHPV (Cecolin®, Xiamen, China) and 9vHPV (Gardasil®9, Whitehouse Station, NJ, USA) vaccines independently in our study. The status quo was assumed to be the current vaccination state (no vaccination) and the current coverage of the 3-yearly cervical cancer screening program was around 31.8% in women aged 35–64 years [46].
According to the Chinese accelerated elimination of cervical cancer action plan, screening coverage should reach 50% in women aged 35–64 years by 2025, and escalate to 70% by 2030 [10]. Therefore, the target population for cervical cancer screening was women aged 35–64 years, with screening initiation at 35 due to the peak prevalence of cervical issues. Our model simplifies screening into primary and secondary screenings. For the primary screening, women aged 35–64 years are recommended to conduct cervical cancer screening using HPV DNA test and cytological tests. Secondary screening, using colposcopy or biopsy, confirms the results of primary screening. Women showed positive signs in primary screening are advised to undergo secondary screening for confirmation. In the scale-up screening intervention strategy, we assumed that screening would switch to HPV DNA-based testing in 2023, with the screening coverage increasing beyond 70% by 2030. The alternative strategies evaluated in the study are listed in Table 1.

2.5. Vaccine Efficacy

Based on the totality of empirical comparative evidence for the efficacy and effectiveness of a single dose [47,48], we assumed that the duration of protection and efficacy provided by a single-dose vaccine would be inferior to that of a 2-dose vaccine. A 2-dose regimen was assumed to provide lifetime protection [6,49,50]. Given that there was no evidence of waning in vaccine protection after a single dose over more than 10 years of follow-up in the Indian and CVT studies [17,51], we conservatively assumed a 30-year duration of protection for single-dose strategies [49]. Herein, for cervical cancer, the degree of 2-dose 2vHPV vaccination protection was given as 0.70, and the degree of 2-dose 9vHPV vaccination protection was set as 0.90 [50].

2.6. Main Outcome

First, the cumulative cervical cancer cases, deaths, and DALYs in each intervention strategy were reported for 2023–2100. The intervention effectiveness is represented by DALYs. By taking the burden from multiple HPV induced morbidities into account, DALYs measure the gap between current health status and ideal health status of the entire population. DALYs are composed of years of life lost (YLL) due to premature mortality in the population, and the years lost due to disability (YLD). Second, we considered the Segi standardized world population in calculating the age-standardized incidence. Cervical cancer elimination was defined as the first year in which the age-standardized incidence rate falls below 4 per 100,000 women [52,53]. We used the currency exchange rate in 2023 and the annual price discount rate of 3% to estimate the costs in US dollars (USD), and took the gross domestic product (GDP) per capita (USD 13,956) as the ICER threshold [54]. Finally, we examined the cost-effectiveness of the strategies and then selected the optimal strategies considered with the year of cervical cancer elimination. Given the latency period of several decades for the development of cervical cancer after infection, a time horizon of 77 years was chosen to fully assess the effectiveness of different strategies. This 77-year timeframe is consistent with the goal of eliminating cervical cancer, as it allows a comprehensive assessment of the dynamic factors contributing to its eradication in present and future generations.

2.7. Sensitivity Analyses

We performed one-way sensitivity analyses to explore changes in the assumed sensitivity of different tests (±10%), the domestic 2vHPV vaccine efficacy (Cecolin®) (±10%), the domestic 2vHPV vaccine cost per dose (±10%), the treatment cost (±10%), and the assumed discount rate for cost (1% and 5%). The threshold analyses were carried out according to the results of tornado diagrams. Meanwhile, a probability sensitivity analysis was also performed on 9vHPV vaccine cost fluctuation and uncertainties around prevalence variations. A Latin hypercubic sampling method was adopted to randomly extract values from price ranges and epidemiological parameter ranges to construct parametric matrices for simulation. In total, 1000 random scenarios were generated to visualize the uncertainty. The age-structured compartmental model and subsequent intervention projection were both conducted using R 4.1.0 (R Core Team, https://www.R-project.org/ (accessed on 1 June 2022), version 4.1.0, R Foundation for Statistical Computing).

3. Results

3.1. Model Calibration

Figure 1 illustrates that the calibration on HPV prevalence, incidence, and the mortality rate of cervical cancer were in good agreement with the observed local epidemiological outcomes.

3.2. Public Health Impact of Strategies

Our model indicated that under the status quo (3-year screening coverage of 31.8%), the age-standardized cervical cancer incidence rate in Guangdong Province would increase from 9.64/100,000 to 11.07/100,000 by 2100. In contrast, scaling up cervical cancer screening coverage alone would prevent 215,000 (95% CI: 205,000 to 227,000) cervical cancer cases and 49,000 (95% CI: 48,000 to 52,000) deaths for the period of 2023–2100. Compared to the status quo, scaling-up cervical cancer screening alone would be cost-effective, with a discounted ICER of USD 1130 (95% CI: 1073 to 1230) per DALY (Table 2). The future scaling up the screening revealed a huge impact on cervical cancer prevention in these scenarios, while increasing the screening coverage alone was insufficient to eliminate cervical cancer (Table 3 and Figure 2).

3.3. Cost-Effectiveness of Strategies

The cost-effectiveness of each strategy was considered using a standard ICER-based decision rule to determine the cost-effectiveness frontier. Ordered from least effective at the top to most effective at the bottom, the net costs, DALYs and ICER for each strategy are shown in Table 2. Overall, compared with the status quo, all vaccine introduction combined with different screening strategies were cost-effective (Table 2 and Figure S2). In the context of 31.8% screening, compared with no vaccination, two-dose 2vHPV vaccination would be more costly and effective, with the benefits increasing as the coverage expands. If the coverage of vaccination reached 90%, compared to two-dose 2vHPV vaccination, single-dose 9vHPV vaccination and two-dose 9vHPV vaccination would have an ICER of −USD 6263 (95% CI: −5217 to −6667)/DALY and USD 42,750 (95% CI: 38,000 to 57,000)/DALY, and thus would not be on the cost-effectiveness frontier (Table 2).
In addition, if the screening coverage increased beyond 70% by 2030, the cost-effectiveness results would still hold, but the ICERs would somewhat increase (Table 2). Once again, when the coverage of vaccination was up to 90%, compared to two-dose 2vHPV vaccination, single and two-dose 9vHPV vaccination would be weakly dominated, with −USD 11,182 (95% CI: −8786 to −11,280)/DALY and USD 68,400 (95% CI: 57,000 to 68,200)/DALY. Meanwhile, compared to single-dose vaccination, two-dose 9vHPV would have an ICER of USD 13,687 (95% CI: 10,950 to13,750)/DALY. Therefore, immediate two-dose 2vHPV vaccination for girls aged 13–14 in 2023 and the rapid scale-up of screening to achieve 70% coverage in 2030 is the most effective alternative and thus dominates all others. If Guangdong Province adopts the most effective strategy, the annual age-standardized incidence of cervical cancer is predicted to decrease to fewer than four new cases per 100,000 women in Guangdong by 2049 (95% CI 2047 to 2051) (Table 2 and Figure 2).

3.4. Sensitivity Analysis

Figure 3 depicted the results of the one-way sensitivity analysis. None of the sensitivity analyses changed our fundamental finding. The model simulation indicated that the discount rate exerted a moderate effect on the main outcome measure while changing the sensitivity of different tests. Sensitivity of screening, the cost of 2vHPV vaccination, and the cost of treatment had the least measurable effect. Probabilistic sensitivity analyses are displayed in scatter plots for discounted incremental costs and DALYs under intervening strategies with different 9vHPV vaccine prices (Figure 4). This indicated that the switch to 9vHPV would not be considered cost-effective in China without a decrease in the current market price of the vaccine.

4. Discussion

To our knowledge, this is the first instance when a dynamic model has been used to simulate the cost-effectiveness analysis of simulating HPV vaccination strategies for girls aged 13–14 years combined with scale-up screening in Guangdong Province from both governmental and societal perspectives. The model was calibrated to HPV prevalence, incidence and mortality rate of cervical cancer, and the results were in good agreement with the observed local epidemiological outcomes.
Our study demonstrates that the age-standardized incidence of cervical cancer in Guangdong will increase substantially between 2023 and 2100 if the current vaccination and screening coverage is maintained. Importantly, even if the screening target is achieved in 2030, Guangdong would not be able to achieve cervical cancer elimination by the end of the century if the universal vaccination program for schoolgirls had not been initiated. This aligns with a previous study emphasizing that screening alone is not sufficient to eliminate cervical cancer [20,45]. There are several reasons for the inadequacy of screening alone. First, cervical cancer screening only detects HPV infection only after it has occurred and therefore does not prevent the initial acquisition of the virus. In contrast, HPV vaccination not only provides immunity before sexual debut but also reduces the risk of acquiring HPV during sexual activity, significantly lowering the incidence of HPV-related cancers later in life. Second, cervical cancer screening coverage varies widely among people from different socioeconomic backgrounds; people from resource-limited settings are less likely to accept regular screening. Hence, a universal vaccination program for schoolgirls can provide relatively equitable access to HPV prevention for disadvantaged populations and compensate for inequalities in access to cervical cancer screening.
Furthermore, we found that the domestic two-dose 2vHPV vaccination strategy initiated in 2023 would be more cost-effective than no vaccination. If Guangdong introduces domestic two-dose 2vHPV vaccination at 90% coverage for girls aged 13–14 years from 2023 onwards and the screening target is achieved in 2030, we are likely to achieve the elimination of cervical cancer by the 2050s. Numerous published studies have shown that the introduction of 2vHPV vaccines in China is highly cost-effective [44,55,56]. Our study adds to the cumulative evidence that a combined intervention approach of the vaccination of schoolgirls with an expanded cervical cancer screening program will lead to a significant reduction in new infections and cervical cancer-related mortality. At the same time, the domestically produced 2vHPV vaccine is easier to scale up and has lower manufacturing costs than imported vaccines, making it potentially suitable for inclusion in both local and NIP in China [13].
We also found that irrespective of the screening coverage, the single-dose 9vHPV vaccination is likely to be more cost-effective compared to the two-dose 9vHPV vaccination under pessimistic assumptions of one-dose 30-year duration of protection, which is generally consistent with previous modeling studies [50,57,58]. Evidence from immunogenicity trials and post-randomization studies has indicated that a single vaccine dose of vaccine may offer comparable long-lasting protection against infection and clinical endpoints as two or three doses [6,17]. Routine single-dose HPV vaccination will release vaccine doses, enabling a faster expansion of the vaccination scale, and thus achieving the maximum health and economic benefits within the constrained supply in China [58]. In the meantime, it is worth noting that China’s pricing for the 9vHPV vaccine is beyond the reach of most eligible women and government-funded programs, prompting future research related to optimal vaccine pricing and price negotiations with manufacturers. Therefore, the approval process for domestically produced HPV vaccines should be accelerated, especially for new-generation vaccines targeting more types of HPV, in order to force manufacturers to effectively reduce prices.
Our study has several strengths. First, it is the first of its kind to incorporate an dynamic transmission model to assess the health and economic impact of large-scale HPV vaccination and screening programs on cervical cancer elimination in Guangdong Province. Second, it provides timely evidence to inform the current and future HPV vaccination strategy planning in Guangdong. Third, we considered several policy-relevant outcomes, including the population-level effectiveness, cost-effectiveness, and time for cervical cancer elimination, to provide comprehensive evidence for policymakers in Guangdong.
Limitations of this analysis include the exclusion of HPV genotypes due to data complexity; the omission of administration, logistics, and storage the costs for HPV vaccination; and the assumption of a constant population size and a fixed age distribution throughout the simulation. Meanwhile, we did not explore male vaccination strategies and focused on the primary target of young girls, as recommended by WHO’s Strategic Advisory Group of Experts on Immunization (SAGE). Lastly, our analysis did not examine other diseases caused by HPV, such as oropharyngeal, vagina, head, and neck cancers, etc., and thus may have underestimated the effects of this vaccine [59]. Our study assumes that screening intensity will remain constant in the future, with efforts focused on increasing screening coverage. Under this assumption, the results suggest that the 2vHPV vaccine is more cost-effective than 9vHPV. However, studies in Norway have shown that a reduction in screening intensity makes the 9vHPV vaccine more cost-effective at current prices [60]. Therefore, it is necessary to include changes in screening intensity in the model to analyze the impact of increased or decreased screening intensity on the cost-effectiveness of the 2vHPV or 9vHPV vaccines in the future.

5. Conclusions

Overall, our study shows that the incidence of cervical cancer in Guangdong Province will continue to increase under the current prevention strategies. Under pessimistic assumptions of 30 years of single-dose protection, routine single-dose vaccination could avert most of the cervical cancers averted by two-dose vaccination, while being more efficient, easier to implement and less costly. Furthermore, the introduction of two doses of domestic 2vHPV vaccination for schoolgirls and the expansion of cervical cancer screening is predicted to be a highly cost-effective method of accelerating cervical cancer elimination in Guangdong with important implications for cervical cancer control in China and other resource-limited countries.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/children11010103/s1, Figure S1: Model diagram; Table S1: Epidemiological parameters; Table S2: Intervention and behavioral parameters; Table S3: Calibration data, 2010–2016; Table S4: Medical expenditure; Table S5: Disability Weight; Figure S2: Cost-effectiveness plane for different strategies. Refs. [13,20,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,42,43,46,61,62,63] are cited in Supplementary Materials file.

Author Contributions

Conceptualization, methodology, formal analysis, writing—original draft, Y.H.; Data curation and visualization, D.Z. and L.Y.; Investigation and validation, Y.H. and J.Z.; Formal analysis, Z.L., J.L. and X.Z.; Project administration, supervision and funding acquisition, C.W. and W.W. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Science and Technology Planning Project of Guangzhou city, China (Grant number: 202102080584).

Institutional Review Board Statement

The ethical approval information is waived by Guangdong Provincial Center for Disease Control and Prevention.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in article and Supplementary Materials.

Acknowledgments

We extend our gratitude to Jiufeng Sun from the Guangdong Provincial Center for Disease Control and Prevention for his invaluable contribution in providing financial support for this project.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

HPVhuman papillomavirus
DALYdisability-adjusted life year
ICERincremental cost-effectiveness ratio

References

  1. Zhang, X.; Zeng, Q.; Cai, W.; Ruan, W. Trends of cervical cancer at global, regional, and national level: Data from the Global Burden of Disease study 2019. BMC Public Health 2021, 21, 894. [Google Scholar] [CrossRef] [PubMed]
  2. Arbyn, M.; Weiderpass, E.; Bruni, L.; Sanjosé, S.D.; Saraiya, M.; Ferlay, J.; Bray, F. Estimates of incidence and mortality of cervical cancer in 2018: A worldwide analysis. Lancet Glob. Health 2020, 8, e191–e203. [Google Scholar] [CrossRef] [PubMed]
  3. Ji, L.; Chen, M.; Yao, L. Strategies to eliminate cervical cancer in China. Front. Oncol. 2023, 13, 1105468. [Google Scholar] [CrossRef] [PubMed]
  4. Bruni, L.; Saura-Lázaro, A.; Montoliu, A.; Brotons, M.; Alemany, L.; Diallo, M.S.; Afsar, O.Z.; LaMontagne, D.S.; Mosina, L.; Contreras, M.; et al. HPV vaccination introduction worldwide and WHO and UNICEF estimates of national HPV immunization coverage 2010–2019. Prev. Med. 2021, 144, 106399. [Google Scholar] [CrossRef] [PubMed]
  5. Dorji, T.; Nopsopon, T.; Tamang, S.T.; Pongpirul, K. Human papillomavirus vaccination uptake in low-and middle-income countries: A meta-analysis. EClinicalMedicine 2021, 34, 100836. [Google Scholar] [CrossRef]
  6. You, T.; Zhao, X.; Hu, S.; Gao, M.; Liu, Y.; Zhang, Y.; Qiao, Y.; Jit, M.; Zhao, F. Optimal allocation strategies for HPV vaccination introduction and expansion in China accommodated to different supply and dose schedule scenarios: A modelling study. EClinicalMedicine 2022, 56, 101789. [Google Scholar] [CrossRef]
  7. UNICEF. Human Papillomavirus (HPV) Vaccine: Supply and Demand Update. 2020. Available online: https://www.unicef.org/supply/reports/human-papillomavirus-hpv-vaccine-supply-and-demand-update (accessed on 16 April 2023).
  8. WHO. Cancer Today-China. Available online: https://gco.iarc.fr/today/data/factsheets/populations/160-china-fact-sheets.pdf (accessed on 11 September 2023).
  9. Zhao, F.; Qiao, Y. Cervical cancer prevention in China: A key to cancer control. Lancet 2019, 393, 969–970. [Google Scholar] [CrossRef]
  10. Working Plan of Cervical Cancer Screening. Available online: https://www.gov.cn/zhengce/zhengceku/2023-01/21/content_5738364.htm (accessed on 19 May 2023).
  11. Government Procurement Center of GuangDong. Announcement of Results of the Human Papilloma Virus (HPV) Vaccine Procurement Project for School-Age Girls in Guangdong Province. 2022. Available online: http://gpcgd.gd.gov.cn/bsfw/cgxx/zbjjgs/content/post_3900094.html (accessed on 23 March 2022).
  12. Qiao, Y.; Wu, T.; Li, R.; Hu, Y.-M.; Wei, L.; Li, C.; Chen, W.; Huang, S.; Zhao, F.-H.; Li, M.-Q. Efficacy, Safety, and Immunogenicity of an Escherichia coli-Produced Bivalent Human Papillomavirus Vaccine: An Interim Analysis of a Randomized Clinical Trial. J. Natl. Cancer Inst. 2020, 112, 145–153. [Google Scholar] [CrossRef]
  13. Xia, C.; Xu, X.; Zhao, X.; Hu, S.; Qiao, Y.; Zhang, Y.; Hutubessy, R.; Basu, P.; Broutet, N.; Jit, M.; et al. Effectiveness and cost-effectiveness of eliminating cervical cancer through a tailored optimal pathway: A modeling study. BMC Med. 2021, 19, 62. [Google Scholar] [CrossRef]
  14. Wang, R.; Pan, W.; Jin, L.; Huang, W.; Li, Y.; Wu, D.; Gao, C.; Ma, D.; Liao, S. Human papillomavirus vaccine against cervical cancer: Opportunity and challenge. Cancer Lett. 2020, 471, 88–102. [Google Scholar] [CrossRef]
  15. Registration and Information Disclosure Platform for Drug Clinical Studies. 2022. Available online: http://www.chinadrugtrials.org.cn/index.html (accessed on 3 April 2023).
  16. Zhao, X.-L.; Hu, S.-Y.; Hu, J.-W.; Wang, H.-H.; Wen, T.-M.; Feng, Y.-S.; Qiao, Y.-L.; Zhao, F.-H.; Zhang, Y. Tackling barriers to scale up human papillomavirus vaccination in China: Progress and the way forward. Infect. Dis. Poverty 2023, 12, 86. [Google Scholar] [CrossRef] [PubMed]
  17. Basu, P.; Malvi, S.G.; Joshi, S.; Bhatla, N.; Muwonge, R.; Lucas, E.; Verma, Y.; Esmy, P.O.; Poli, U.R.R.; Shah, A.; et al. Vaccine efficacy against persistent human papillomavirus (HPV) 16/18 infection at 10 years after one, two, and three doses of quadrivalent HPV vaccine in girls in India: A multicentre, prospective, cohort study. Lancet Oncol. 2021, 22, 1518–1529. [Google Scholar] [CrossRef] [PubMed]
  18. One-Dose Human Papillomavirus (HPV) Vaccine Offers Solid Protection Against Cervical Cancer. 2022. Available online: https://www.who.int/news/item/11-04-2022-one-dose-human-papillomavirus-(hpv)-vaccine-offers-solid-protection-against-cervical-cancer (accessed on 20 December 2022).
  19. World Health Organization (WHO). WHO Updates Recommendations on HPV Vaccination Schedule. Available online: https://www.who.int/news/item/20-12-2022-WHO-updates-recommendations-on-HPV-vaccination-schedule (accessed on 20 May 2023).
  20. Ma, X.; Harripersaud, K.; Smith, K.; Fairley, C.K.; Zou, H.; Zou, Z.; Wang, Y.; Zhuang, G.; Zhang, L. Modeling the epidemiological impact and cost-effectiveness of a combined schoolgirl HPV vaccination and cervical cancer screening program among Chinese women. Hum. Vaccines Immunother. 2021, 17, 1073–1082. [Google Scholar] [CrossRef]
  21. Pan-Ngum, W.; Kinyanjui, T.; Kiti, M.; Taylor, S.; Toussaint, J.-F.; Saralamba, S.; Effelterre, T.V.; Nokes, D.J.; White, L.J. Predicting the relative impacts of maternal and neonatal respiratory syncytial virus (RSV) vaccine target product profiles: A consensus modelling approach. Vaccine 2017, 35, 403–409. [Google Scholar] [CrossRef] [PubMed]
  22. Schmeink, C.E.; Massuger, L.F.A.G.; Lenselink, C.H.; Quint, W.G.V.; Witte, B.I.; Berkhof, J.; Melchers, W.J.G.; Bekkers, R.L.M. Prospective follow-up of 2065 young unscreened women to study human papillomavirus incidence and clearance. Int. J. Cancer 2013, 133, 172–181. [Google Scholar] [CrossRef] [PubMed]
  23. Ermel, A.C.; Shew, M.L.; Weaver, B.A.; Qadadri, B.; Denski, C.; Tu, W.; Tong, Y.; Fortenberry, J.D.; Brown, D.R. DNA detection and seroprevalence of human papillomavirus in a cohort of adolescent women. Sex. Transm. Infect. 2014, 90, 64–69. [Google Scholar] [CrossRef] [PubMed]
  24. Siebert, U.; Sroczynski, G.; Hillemanns, P.; Engel, J.; Stabenow, R.; Stegmaier, C.; Voigt, K.; Gibis, B.; Hölzel, D.; Goldie, S.J. The German cervical cancer screening model: Development and validation of a decision-analytic model for cervical cancer screening in Germany. Eur. J. Public Health 2006, 16, 185–192. [Google Scholar] [CrossRef]
  25. Haeussler, K.; Hout, A.V.D.; Baio, G. A dynamic Bayesian Markov model for health economic evaluations of interventions in infectious disease. BMC Med. Res. Methodol. 2018, 18, 82. [Google Scholar] [CrossRef]
  26. Termrungruanglert, W.; Havanond, P.; Khemapech, N.; Lertmaharit, S.; Pongpanich, S.; Khorprasert, C.; Taneepanichskul, S. Cost and effectiveness evaluation of prophylactic HPV vaccine in developing countries. Value Health 2012, 15 (Suppl. 1), S29–S34. [Google Scholar] [CrossRef]
  27. Liu, Y.; Zhang, Q.; Hu, S.; Zhao, F. Effect of vaccination age on cost-effectiveness of human papillomavirus vaccination against cervical cancer in China. BMC Cancer 2016, 16, 164. [Google Scholar] [CrossRef]
  28. Xia, C.; Hu, S.; Xu, X.; Zhao, X.; Qiao, Y.; Broutet, N.; Canfell, K.; Hutubessy, R.; Zhao, F. Projections up to 2100 and a budget optimisation strategy towards cervical cancer elimination in China: A modelling study. Lancet Public Health 2019, 4, e462–e472. [Google Scholar] [CrossRef]
  29. Lv, W. Cervical Intraepithelial Neoplasias (CIN) Clinical Treatment Guideline (ASCCP). In Proceedings of the Zhejiang Province Gynaecology Annual Conference, Ningbo, China, 23 May 2008; pp. 38–43. [Google Scholar]
  30. Shi, K.; Zhao, S.; Jiang, L.; Li, X. Clinical analysis of application of chitosan gynecological biological dressing or Yunnan Baiyao after low-grade cervical intraepithelial neoplasia CO2 laser treatment. Chin. J. Obstet. Gynecol. 2016, 17, 401–403. [Google Scholar]
  31. Sun, L.; Cao, D.; Yang, J.; Bian, M.; Wei, L.; Yang, L.; Cheng, N.; Yang, Y.; Wang, Y.; Cheng, X.; et al. The medical implication of cervical ring resection and CO2 laser vaporization for cervical intraepithelial neoplasia grade 2. Med. J. Peking Union Med. Coll. Hosp. 2011, 2, 129–133. [Google Scholar] [CrossRef]
  32. Wang, Y.; Kong, W.; Wu, Y.; Zhang, W. Effect of Cervical Cold Cone Coneectomy and Total Hysterectomy on Treatment Outcomes of CINIII Combined with High-risk HPV Positive. J. Pract. Obstet. Gynecol. 2016, 32, 122–125. [Google Scholar]
  33. Li, X. A Study on the Trend of Inpatients’ Treatment Effect and Medical Cost of Female Cancer in Ten Years in Lanzhou; Lanzhou University: Lanzhou, China, 2008. [Google Scholar]
  34. Ma, G.; Wang, B.; Ding, H. Application of photodynamic combined therapy in the treatment of condyloma acuminatum. Chin. J. AIDS STD 2014, 20, 105–108. [Google Scholar]
  35. Catarino, R.; Schäfer, S.; Vassilakos, P.; Petignat, P.; Arbyn, M. Accuracy of combinations of visual inspection using acetic acid or lugol iodine to detect cervical precancer: A meta-analysis. BJOG 2019, 125, 545–553. [Google Scholar] [CrossRef]
  36. Guo, R. Screening Methods of Cervical Cancer and Control Conditions of Screening Age. J. Clin. Med. Lit. 2015, 2, 6841–6842. [Google Scholar]
  37. Wang, S.; Xie, D. The value of cervical fluid-based thin-layer cytology combined with colposcopy in the screening of cervical precancerous lesions. Chin. J. Hum. Sex. 2015, 11, 36–39. [Google Scholar]
  38. Zeyan, Z.; Hua, Z.; Xingming, Z.; Xiaoping, Z.; Zhulin, M.; Yongxia, W.; Xiangcai, W.; Ling, Y. Investigation on HPV infection status in women of childbearing age among floating population in Guangdong province. Contemp. Med. 2014, 20, 30–31. [Google Scholar] [CrossRef]
  39. Jing, L.; Zhong, X.; Zhong, Z.; Huang, W.; Liu, Y.; Yang, G.; Zhang, X.; Zou, J.; Jing, C.; Wei, X. Prevalence of human papillomavirus infection in Guangdong Province, China: A population-based survey of 78,355 women. Sex. Transm. Dis. 2014, 41, 732–738. [Google Scholar] [CrossRef]
  40. People’s Government of Guangdong Province. Notice on Issuance of the Implementation Plan of the “Two Cancers” Free Examination Program for Urban and Rural Women in Guangdong Province (2020–2022). Available online: https://www.gd.gov.cn/zwgk/zdlyxxgkzl/mzxx/content/post_3275280.html (accessed on 1 July 2023).
  41. GuangDong Medicine Exchange. Announcement of the Catalogue of Non-Immunisation Vaccines for Use in Guangdong Province in 2022. Available online: https://www.gdmede.com.cn/ (accessed on 29 June 2023).
  42. Levin, C.E.; Sharma, M.; Olson, Z.; Verguet, S.; Shi, J.; Wang, S.; Qiao, Y.; Jamison, D.T.; Kim, J.J. An extended cost-effectiveness analysis of publicly financed HPV vaccination to prevent cervical cancer in China. Vaccine 2015, 33, 2830–2841. [Google Scholar] [CrossRef] [PubMed]
  43. Levin, C.E.; Sellors, J.; Shi, J.; Ma, L.; Qiao, Y.; Ortendahl, J.; O’Shea, M.K.H.; Goldie, S.J. Cost-effectiveness analysis of cervical cancer prevention based on a rapid human papillomavirus screening test in a high-risk region of China. Int. J. Cancer 2010, 127, 1404–1411. [Google Scholar] [CrossRef] [PubMed]
  44. Xu, X.; Tang, X.; Li, X.; Xia, L.; Liao, Y.; Meng, R.; Wang, Y. Health Economics Evaluation of Different HPV Vaccination Strategies in Guangdong Province. China Cancer 2021, 31, 139–145. [Google Scholar]
  45. Meng, G.; Hu, S.; Zhao, X.; You, T.; Jit, M.; Li, Y.; Qiao, Y.; Zhao, F.; Wang, C. Health and economic impact of delaying large-scale HPV vaccination and screening implementation on cervical cancer in China: A modelling study. Lancet Reg. Health West. Pac. 2023, 36, 100768. [Google Scholar] [CrossRef]
  46. Yuanyuan, X. Study on the Influencing Factors of Cervical Cancer Mortality; Southern Medical University: Guangzhou, China, 2021. [Google Scholar]
  47. Markowitz, L.E.; Drolet, M.; Lewis, R.M.; Lemieux-Mellouki, P.; Pérez, N.; Jit, M.; Brotherton, J.M.; Ogilvie, G.; Kreimer, A.R.; Brisson, M. Human papillomavirus vaccine effectiveness by number of doses: Systematic review of data from national immunization programs. Vaccine 2018, 36, 4806–4815. [Google Scholar] [CrossRef] [PubMed]
  48. Whitworth, H.S.; Gallagher, K.E.; Howard, N.; Mounier-Jack, S.; Mbwanji, G.; Kreimer, A.R.; Basu, P.; Kelly, H.; Drolet, M.; Brisson, M.; et al. Efficacy and immunogenicity of a single dose of human papillomavirus vaccine compared to no vaccination or standard three and two-dose vaccination regimens: A systematic review of evidence from clinical trials. Vaccine 2020, 38, 1302–1314. [Google Scholar] [CrossRef] [PubMed]
  49. Bénard, É.; Drolet, M.; Laprise, J.F.; Gingras, G.; Jit, M.; Boily, M.C.; Bloem, P.; Brisson, M. Potential population-level effectiveness of one-dose HPV vaccination in low-income and middle-income countries: A mathematical modelling analysis. Lancet Public Health 2023, 8, e788–e799. [Google Scholar] [CrossRef]
  50. Daniels, V.; Saxena, K.; PattersonLomba, O.; GomezLievano, A.; Saah, A.; Luxembourg, A.; Velicer, C.; Chen, Y.; Elbasha, E. Modeling the health and economic implications of adopting a 1-dose 9-valent human papillomavirus vaccination regimen in a high-income country setting: An analysis in the United Kingdom. Vaccine 2022, 14, 2173–2183. [Google Scholar] [CrossRef]
  51. Kreimer, A.R.; Sampson, J.N.; Porras, C.; Schiller, J.T.; Kemp, T.; Herrero, R.; Wagner, S.; Boland, J.; Schussler, J.; Lowy, D.R.; et al. Evaluation of Durability of a Single Dose of the Bivalent HPV Vaccine: The CVT Trial. J. Natl. Cancer Inst. 2020, 112, 1038–1046. [Google Scholar] [CrossRef]
  52. World Health Organization. Draft: Global Strategy towards the Elimination of Cervical Cancer as a Public Health Problem. Available online: https://cdn.who.int/media/docs/default-source/cervical-cancer/cervical-cancer-elimination-strategy-20200508b99e1a91e6ac490a9ec29e3706bdfacf_c2ff5d7a-7013-4df1-a690-2a35d88434c5.pdf?sfvrsn=b8690d1a_22&download=true (accessed on 14 September 2023).
  53. Canfell, K.; Kim, J.J.; Brisson, M.; Keane, A.; Simms, K.T.; Caruana, M.; Burger, E.A.; Martin, D.; Nguyen, D.T.N.; Bénard, É.; et al. Mortality impact of achieving WHO cervical cancer elimination targets: A comparative modelling analysis in 78 low-income and lower-middle-income countries. Lancet 2020, 395, 591–603. [Google Scholar] [CrossRef]
  54. Statistics Bureau of Guangdong Province. Guangdong’s GDP Totaled 124369.67 Billion Yuan in 2021. Available online: http://stats.gd.gov.cn/tjgb/content/post_3836135.html (accessed on 19 May 2023).
  55. Shi, W.; Cheng, X.; Wang, H.; Zang, X.; Chen, T. Cost-effectiveness of human papillomavirus vaccine in China: A systematic review of modelling studies. BMJ Open 2021, 11, e052682. [Google Scholar] [CrossRef] [PubMed]
  56. Zou, Z.; Fairley, C.K.; Ong, J.J.; Hocking, J.; Canfell, K.; Ma, X.; Chow, E.P.F.; Xu, X.; Zhang, L.; Zhuang, G. Domestic HPV vaccine price and economic returns for cervical cancer prevention in China: A cost-effectiveness analysis. Lancet Glob. Health 2020, 8, e1335–e1344. [Google Scholar] [CrossRef] [PubMed]
  57. Burger, E.A.; Campos, N.G.; Sy, S.; Regan, C.; Kim, J.J. Health and economic benefits of single-dose HPV vaccination in a Gavi-eligible country. Vaccine 2018, 36, 4823–4829. [Google Scholar] [CrossRef] [PubMed]
  58. Prem, K.; Choi, Y.H.; Bénard, É.; Burger, E.A.; Hadley, L.; Laprise, J.F.; Regan, M.C.; Drolet, M.; Sy, S.; Abbas, K.; et al. Global impact and cost-effectiveness of one-dose versus two-dose human papillomavirus vaccination schedules: A comparative modelling analysis. BMC Med. 2023, 21, 313. [Google Scholar] [CrossRef]
  59. Choi, H.C.W.; Jit, M.; Leung, G.M.; Tsui, K.-L.; Wu, J.T. Simultaneously characterizing the comparative economics of routine female adolescent nonavalent human papillomavirus (HPV) vaccination and assortativity of sexual mixing in Hong Kong Chinese: A modeling analysis. BMC Med. 2018, 16, 127. [Google Scholar] [CrossRef] [PubMed]
  60. Portnoy, A.; Pedersen, K.; Nygård, M.; Trogstad, L.; Kim, J.J.; Burger, E.A. Identifying a Single Optimal Integrated Cervical Cancer Prevention Policy in Norway: A Cost-Effectiveness Analysis. Med. Decis. Mak. 2022, 42, 795–807. [Google Scholar] [CrossRef]
  61. Salomon, J.A.; Vos, T.; Hogan, D.R.; Gagnon, M.; Naghavi, M.; Mokdad, A.; Begum, N.; Shah, R.; Karyana, M.; Kosen, S.; et al. Common values in assessing health outcomes from disease and injury: Disability weights measurement study for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2129–2143. [Google Scholar] [CrossRef]
  62. Murray, C.J.; Vos, T.; Lozano, R.; Naghavi, M.; Flaxman, A.D.; Michaud, C.; Ezzati, M.; Shibuya, K.; Salomon, J.A.; Abdalla, S.; et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2197–2223. [Google Scholar] [CrossRef]
  63. Yang, Q.; Liu, D.; Lou, P.; Kong, Y.; Dong, Z.; Zhang, P.; Chen, P. Chang, G. Dong, D. Results and cost-effectiveness analysis of lung cancer screening for urban residents in Xuzhou from 2014 to 2019. Chin. J. Cancer Prev. Treat. 2022, 29, 463–467. [Google Scholar]
Children 11 00103 g001
Figure 1. Conditions versus model output after calibration. (A–C) represent the following variables: HPV prevalence (%), Crude cervical cancer incidence rate (/105), Crude cervical cancer mortality rate (/105); Red dot represents observed local epidemiological values, black dot indicates predicted values from the model.
Figure 1. Conditions versus model output after calibration. (A–C) represent the following variables: HPV prevalence (%), Crude cervical cancer incidence rate (/105), Crude cervical cancer mortality rate (/105); Red dot represents observed local epidemiological values, black dot indicates predicted values from the model.
Children 11 00103 g001
Children 11 00103 g002
Figure 2. Projection of age-standardized incidence of cervical cancer with different strategies between 2023 and 2100. (A–C) at the current screening rate; (D–F) in the context of expanding cervical cancer screening.
Figure 2. Projection of age-standardized incidence of cervical cancer with different strategies between 2023 and 2100. (A–C) at the current screening rate; (D–F) in the context of expanding cervical cancer screening.
Children 11 00103 g002
Children 11 00103 g003
Figure 3. Tornado diagram for two-dose 2vHPV vaccination versus two-dose 9vHPV vaccination ICER in the context of expanding cervical cancer screening.
Figure 3. Tornado diagram for two-dose 2vHPV vaccination versus two-dose 9vHPV vaccination ICER in the context of expanding cervical cancer screening.
Children 11 00103 g003
Children 11 00103 g004
Figure 4. Two-dimensional cost-effectiveness plane demonstrating the distribution of 1000 simulations: two-dose 2vHPV vaccination versus two-dose 9vHPV vaccination in the context of expanding cervical cancer screening at different (100%, 70%, 50%, 30%) price level.
Figure 4. Two-dimensional cost-effectiveness plane demonstrating the distribution of 1000 simulations: two-dose 2vHPV vaccination versus two-dose 9vHPV vaccination in the context of expanding cervical cancer screening at different (100%, 70%, 50%, 30%) price level.
Children 11 00103 g004
Table 1. Alternative strategies evaluated in this study.
Table 1. Alternative strategies evaluated in this study.
StrategiesScreeningVaccination
1: Status quo31.8%Children 11 00103 i001No vaccination
2 25%, 50%, 75%, 90%Children 11 00103 i002Children 11 00103 i002
3 25%, 50%, 75%, 90%Children 11 00103 i003
4 25%, 50%, 75%, 90%Children 11 00103 i003Children 11 00103 i003
571.8%Children 11 00103 i001 by 2030, by 5% increments per yearNo vaccination
6 25%, 50%, 75%, 90%Children 11 00103 i002Children 11 00103 i002
7 25%, 50%, 75%, 90%Children 11 00103 i003
8 25%, 50%, 75%, 90%Children 11 00103 i003Children 11 00103 i003
Notes: Children 11 00103 i002 2vHPV vaccination at 13–14 years of age; Children 11 00103 i003 9vHPV vaccination at 13–14 years of age; Children 11 00103 i001 Screening at 35–64 of age every 3 years.
Table 2. ICER of strategies that lie on the efficiency frontier compared with the next-best strategy in 2023–2100.
Table 2. ICER of strategies that lie on the efficiency frontier compared with the next-best strategy in 2023–2100.
Vaccination
Strategy 		Coverage
(%)		Current Screening RateExpanding Screening Rate
Discount Cost
(USD) 107		Discounted DALYs
104		3% Discounted
ICER		Discount Cost
(USD) 107		Discount DALYs
104		3% Discounted
ICER
No vaccination0421
(410, 435)		434
(378, 485)		/534
(517, 553)		334
(291, 375)		/
2-dose 2vHPV25456
(448, 467)		361
(316, 403)		479
(390, 613)		540
(528, 554)		270
(238, 305)		94
(14, 204)
50479
(472, 489)		330
(289, 367)		742
(611, 888)		552
(543, 566)		246
(216, 276)		500
(143, 682)
75497
(491, 506)		315
(276, 350)		1267
(1059, 1462)		567
(559, 581)		236
(207, 264)		1500
(1250, 1778)
90507
(500, 515)		309
(271, 344)		1667
(1422, 1800)		575
(568, 589)		233
(204, 260)		2116
(2000, 3000)
1-dose 9vHPV25526
(518, 538)		375
(329, 419)		/616
(603, 631)		281
(247, 317)		/
50579
(572, 590)		348
(306, 389)		1963
(1733, 2348)		658
(647, 672)		259
(228, 292)		1910
(1640, 2316)
75612
(605, 622)		335
(294, 374)		2538
(2133, 2750)		686
(676, 699)		248
(219, 279)		2545
(2077, 3222)
90626
(620, 636)		329
(289, 367)		2333
(2000, 3000)		698
(689, 712)		244
(215, 274)		3000
(2600, 3250)
2-dose 9vHPV25642
(634, 652)		347
(304, 387)		/720
(710, 735)		259
(228, 291)		/
50752
(745, 761)		318
(279, 354)		3793
(3303, 4440)		822
(814, 837)		239
(209, 267)		5100
(4250, 5473)
75820
(813, 829)		306
(268, 340)		5667
(4857, 6182)		888
(881, 902)		231
(202, 257)		8250
(6500, 9571)
90849
(842, 858)		302
(265, 335)		7250
(5800, 9667)		917
(909, 930)		228
(199, 254)		9667
(9337, 11,106)
Table 3. Accumulated cervical cancer cases and deaths of strategies in 2023–2100.
Table 3. Accumulated cervical cancer cases and deaths of strategies in 2023–2100.
Vaccination
Strategy 		Coverage
(%)		Current Screening RateExpanding Screening Rate
Accumulated Cervical Cancer Cases 103Accumulated Deaths 103Accumulated Cervical Cancer Cases 103Accumulated Deaths 103
No vaccination0534 (514, 545)119 (113, 142)319 (287, 341)70 (64, 89)
2-dose 2vHPV25391 (378, 407)93 (85, 110)219 (203, 233)51 (47, 64)
50333 (323, 345)80 (73, 94)185 (174, 194)44 (40, 54)
75306 (296, 319)74 (67, 87)172 (163, 180)42 (38, 50)
90297 (287, 309)72 (76, 84)168 (160, 175)41 (38, 50)
1-dose 9vHPV25419 (401, 435)98 (90, 117)237 (218, 254)54 (50, 68)
50367 (356, 383)88 (80, 103)204 (190, 217)48 (44, 60)
75341 (335, 355)80 (75, 94)190 (178, 201)44 (41, 56)
90331 (326, 346)78 (73, 91)184 (173, 195)41 (40, 54)
2-dose 9vHPV25360 (351, 376)87 (79, 102)203 (189, 214)47 (43, 59)
50311 (300, 323)75 (68, 88)174 (165, 183)42 (38, 51)
75290 (280, 303)70 (64, 82)166 (158, 173)40 (37, 49)
90283 (273, 296)68 (63, 80)163 (155, 169)39 (36, 48)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Huang, Y.; Zhang, D.; Yin, L.; Zhao, J.; Li, Z.; Lu, J.; Zhang, X.; Wu, C.; Wu, W. Modeling the Health Impact and Cost-Effectiveness of a Combined Schoolgirl HPV Vaccination and Cervical Cancer Screening Program in Guangdong Province, China. Children 2024, 11, 103. https://doi.org/10.3390/children11010103

AMA Style

Huang Y, Zhang D, Yin L, Zhao J, Li Z, Lu J, Zhang X, Wu C, Wu W. Modeling the Health Impact and Cost-Effectiveness of a Combined Schoolgirl HPV Vaccination and Cervical Cancer Screening Program in Guangdong Province, China. Children. 2024; 11(1):103. https://doi.org/10.3390/children11010103

Chicago/Turabian Style

Huang, Yating, Dantao Zhang, Lihua Yin, Jianguo Zhao, Zhifeng Li, Jing Lu, Xiaoming Zhang, Chenggang Wu, and Wei Wu. 2024. "Modeling the Health Impact and Cost-Effectiveness of a Combined Schoolgirl HPV Vaccination and Cervical Cancer Screening Program in Guangdong Province, China" Children 11, no. 1: 103. https://doi.org/10.3390/children11010103

APA Style

Huang, Y., Zhang, D., Yin, L., Zhao, J., Li, Z., Lu, J., Zhang, X., Wu, C., & Wu, W. (2024). Modeling the Health Impact and Cost-Effectiveness of a Combined Schoolgirl HPV Vaccination and Cervical Cancer Screening Program in Guangdong Province, China. Children, 11(1), 103. https://doi.org/10.3390/children11010103

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop