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Cervical Cancer Elimination Potential: PRIME Model Data
Patient Health Records & Digital Health
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Provides detailed epidemiological and economic modelling results related to the impact of cervical cancer vaccination programs worldwide. This data, generated by the Papillomavirus Rapid Interface for Modelling and Economics (PRIME) at the London School, projects the potential reduction of cancer cases and deaths associated with increased vaccine uptake. It addresses cervical cancer, which remains one of the world’s deadliest vaccine-preventable diseases despite the availability of effective jabs. The projections span the years 2021 through 2030, highlighting scenarios necessary for the near-elimination of the disease globally.
Columns
- country_name: The specific country included in the modelling projections, with 176 distinct entries.
- region: Geographic classification of the country (e.g., Europe & Central Asia, Sub-Saharan Africa).
- income_group: Economic classification of the country, using categories such as High income and Lower middle income.
- year: The modelled year for the projections, ranging from 2021 to 2030.
- cohort_size: The size of the specific population cohort being modelled, ranging up to 13 million.
- coverage: The modelled vaccine coverage rate, typically expressed as a decimal between 0 and 0.99.
- cancer_prevented: The estimated number of cervical cancer cases prevented under the specified coverage scenario.
- deaths_prevented: The estimated number of deaths prevented under the specified coverage scenario.
- assumption_type: Describes the underlying scenario assumption used in the model (e.g., Attain WHO Coverage Goal).
- possible_cancer_cases: The potential number of cancer cases that could occur in the absence of preventative measures.
- possible_cancer_deaths: The potential number of cancer deaths that could occur in the absence of preventative measures.
Distribution
The data is delivered in a CSV file format named
hpv_2020s_results.csv, with a file size of approximately 442.09 kB. The structure includes 11 distinct columns and consists of 3,520 records or rows. Updates to this dataset are expected annually.Usage
Ideal applications include health policy planning and formulation, economic analysis evaluating the cost-effectiveness of vaccine campaigns, public health research targeting cervical cancer elimination goals, and global health strategy development. It is highly valuable for evaluating the potential impact of achieving specific vaccine coverage milestones, such as the goals set by the World Health Organisation (WHO).
Coverage
The dataset covers 176 countries spanning seven global regions and four income classifications. The temporal scope includes projections across ten years, starting in 2021 and extending through 2030. The data focuses on modelling the impact on defined population cohorts relevant to HPV vaccination efforts.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: To support epidemiological studies, health economic evaluations, and statistical modelling related to infectious diseases and preventative health.
- Governmental and Non-Governmental Organisations (NGOs): For informing budget allocation, policy development concerning vaccine rollout, and monitoring progress toward public health targets.
- Data Scientists: For developing predictive models relating to global disease burden reduction and assessing vaccine effectiveness under varied coverage scenarios.
Dataset Name Suggestions
- PRIME Model: Global Cervical Cancer Vaccine Impact Projections (2021-2030)
- HPV Vaccine Economic and Epidemiological Outcomes
- Cervical Cancer Elimination Potential: PRIME Model Data
- WHO Coverage Goal Impact Data
Attributes
Original Data Source:Cervical Cancer Elimination Potential: PRIME Model Data
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