Estimated Pneumococcal Disease Burden in Children Across Five Latin American Countries
by Sophie Warren·Updated 16d ago
219.9 KB1files
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Description
A static Excel-based model estimates annual pneumococcal disease cases, deaths, and costs attributable to vaccine serotypes in children under five. The analysis covers Argentina, Chile, Mexico, Colombia, and Brazil, using country-specific epidemiological, cost, and population inputs. Sophie Warren authored this study, which was last updated on 2026-05-21.
Use Cases
Compare the clinical burden of serotypes covered by PCV10, PCV13, PCV15, and PCV20 vaccines based on the described model outputs.
Analyze the economic and societal cost distribution between invasive and non-invasive pneumococcal disease types mentioned in the results.
Evaluate the potential public health impact of switching from PCV10 or PCV13 to PCV20 based on the estimated burden of serotypes unique to PCV20.
Assess country-specific disease burden patterns across the five Latin American nations described.
Strengths
Focuses on five specific countries: Argentina, Chile, Mexico, Colombia, and Brazil.
Estimates over 510,000 annual cases and approximately 2,700 deaths attributable to PCV20 serotypes.
Quantifies economic burden exceeding USD $182 million and societal burden exceeding USD $34 million annually.
Distinguishes burden by vaccine serotype groups (PCV10, PCV13, PCV15, PCV20) and by disease type (invasive vs. non-invasive).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is a single PDF file of 219.9 KB, likely containing summary tables rather than raw, granular data.
Provenance
Source
figshare
Collection Method
A static Excel-based model applied country-specific epidemiological, cost, and population inputs.
Freshness
Last updated 2026-05-21 05:42:29; freshness should be verified.
Geography
Argentina, Chile, Mexico, Colombia, Brazil
License is CC-BY-4.0. Data is presented in a PDF format, which may require extraction to use for computational analysis.