Evidence map›Paper›PMID 40678791›Full record

ArticleInfectious Disease Modelling2025

Analysis of vaccination strategies in a heterosexual HPV transmission model with a case study in Xinjiang of China.

Ramziya Rifhat, Shayidan Abuduwaili, Zhidong Teng, Kai Wang

Abstract read
In one paragraph

Article in Infectious Disease Modelling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ramziya RifhatCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, PR China.
Shayidan AbuduwailiSchool of Public Health, Xinjiang Medical University, Urumqi, 830017, PR China.
Zhidong TengCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, PR China.
Kai WangCollege of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, 830017, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination has confirmed efficacy in preventing human papillomavirus (HPV) infection. The inclusion of males in vaccination programs remains a subject of debate, and the optimal allocation of vaccines across genders for maximizing benefits remains unclear. This work proposes a heterosexual HPV transmission model with vaccination and employs the data from Xinjiang of China, as a case study to assess HPV vaccination strategies. The dynamics of the model, including the nonnegativity and boundedness of solutions, the calculation of the basic reproduction number (BRN), the stability of disease-free equilibrium, and the uniform persistence of disease, are investigated. Theoretical findings highlight the decisive role of the BRN in determining model dynamics. Furthermore, the optimal vaccine distribution strategy between males and females was established when the vaccine amount is limited. Meanwhile, this work involves fitting and estimating parameters and the current BRN based on actual data regarding with HPV infection and secondary cervical cancer (CC) cases in Xinjiang from January 2009 to December 2019. The numerical simulations are employed to explore the sensitivity of model parameters, especially the vaccination rates, to the BRN and HPV infection and CC with time changes, discuss the impact of vaccine distribution between males and females on the dynamic changes in new cases of HPV infection and CC, and further analyzed the control effect of bivalent and nine-valent HPV vaccines in Xinjiang of China. Additionally, several practical strategies are introduced to manage the continued spread of HPV infection and CC in the region.

Indexed as

Basic reproduction numberCervical cancerDynamical behaviorHeterosexual HPV transmission modelVaccination strategy

Identifiers

PMID40678791
PMCPMC12269587

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.