Data-driven modeling of impact of differential efficacy of COVID-19 vaccines in two socio-economically contrasting cities: New York, USA and Bogotá, Colombia

DOI10.15446/rce.v47n2.112805MaRDI QIDQ6605942

Moatlhodi Kgosimore, Erika Johanna Martinez-Salinas, Viswanathan Arunachalam, Yutian Huang, Anuj Mubayi, Caitlin Seibel, Padmanabhan Seshaiyer, Jackson Reisman

Publication date: 16 September 2024

Published in: Revista Colombiana de Estadística (Search for Journal in Brave)

zbMATH Keywords

parameter estimationequilibriumvaccinationbasic reproductive numberCOVID-19coronavirusesSEIVR model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• A contribution to the mathematical theory of epidemics.
• Calibration and prediction for the inexact SIR model
• Continuous-time stochastic processes for the spread of COVID-19 disease simulated via a Monte Carlo approach and comparison with deterministic models
• Estimation of the reproduction number of dengue fever from spatial epidemic data
• The impact of vaccination on the spread of COVID-19: studying by a mathematical model
• Existence of exact solution of the susceptible-exposed-infectious-recovered (SEIR) epidemic model
• Mathematical Models in Population Biology and Epidemiology
• An Introduction to Mathematical Epidemiology

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