Inference of an Epidemic Driven by Random Transmission Rate: Explaining the Dynamics of COVID-19 in Bogotá

Abstract excerpt

<title>Abstract</title> <p>The epidemic disease model is often used to predict an epidemic's characteristics and help plan an effective control strategy. Motivated by recent COVID-19 outbreaks, we develop and mathematically analyze a simple stochastic model that considers random perturbations in transmission rates and shows its validity using data from the Colombian city of Bogota. The stochastic epidemic model i...

Topics

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• Bacillus and Francisella bacterial research
• Communicable Diseases
• COVID-19
• Disease Susceptibility
• Mutation
• SARS-CoV-2 and COVID-19 Research
• Vaccination
• Viral Infections and Outbreaks Research

Identifiers and source

Literature Corpus work

068cdbe5-d73b-518d-bd58-99152362e8b2

DOI

10.21203/rs.3.rs-1910989/v1