Analytical Chemistry

Teaching undergraduate physical chemistry lab with kinetic analysis of COVID-19 in the United States

Authors

Abstract

A physical chemistry lab for undergraduate students described in this report is about applying kinetic models to analyze the spread of COVID-19 in the United States and obtain the reproduction numbers. The susceptible-infectious-recovery (SIR) model and the SIR-vaccinated (SIRV) model are explained to the students and are used to analyze the COVID-19 spread data from U.S. Centers for Disease Control and Prevention (CDC). The basic reproduction number R0 and the real-time reproduction number Rt of COVID-19 are extracted by fitting the data with the models, which explains the spreading kinetics and provides a prediction of the spreading trend in a given state. The procedure outlined here shows the differences between the SIR model and the SIRV model. The SIRV model considers the effect of vaccination which helps explain the later stages of the ongoing pandemic. The predictive power of the models is also shown giving the students some certainty in the predictions they made for the following months.

Content

Thumbnail image of 2022covid paper 6th round_20220425.pdf

Supplementary material

Thumbnail image of SI_COVID_2022_3rd.xlsx
Supporting information
Excel Sheets