MATHEMATICAL AND BIOSTATISTICAL MODELING OF DISEASE DYNAMICS AND PUBLIC HEALTH INTERVENTIONS IN GHANA: A QUANTITATIVE FRAMEWORK FOR DATA-DRIVEN POLICY AND PLANNING

Mathematical and Biostatistical Modeling of Disease Dynamics and Public Health Interventions in Ghana: A Quantitative Framework for Data-Driven Policy and Planning

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-16
DOI
https://doi.org/10.5281/zenodo.15231155
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
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article

MATHEMATICAL AND BIOSTATISTICAL MODELING OF DISEASE DYNAMICS AND PUBLIC HEALTH INTERVENTIONS IN GHANA: A QUANTITATIVE FRAMEWORK FOR DATA-DRIVEN POLICY AND PLANNING

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 epidemiological studies
article

MATHEMATICAL AND BIOSTATISTICAL MODELING OF DISEASE DYNAMICS AND PUBLIC HEALTH INTERVENTIONS IN GHANA: A QUANTITATIVE FRAMEWORK FOR DATA-DRIVEN POLICY AND PLANNING

article en

Abstract

Mathematical and Biostatistical Modeling of Disease Dynamics and Public Health Interventions in Ghana: A Quantitative Framework for Data-Driven Policy and Planning

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 53%
COVID-19 epidemiological studies
DOIOpen Access PDFOpenAlex
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MATHEMATICAL AND BIOSTATISTICAL MODELING OF DISEASE DYNAMICS AND PUBLIC HEALTH INTERVENTIONS IN GHANA: A QUANTITATIVE FRAMEWORK FOR DATA-DRIVEN POLICY AND PLANNING · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS