SEIR Model with Vaccination and Reinfection

SEIR (Susceptible-Exposed-Infectious-Recovered) is a compartmental model used to study how infectious diseases, such as COVID-19, spread using ordinary differential equations (ODEs). The model is improved by considering the effects of vaccination and reinfection. The infectious population is further divided into two types: (1) those with moderate to severe symptoms, which can lead to detection and are highly infectious, and (2) those with mild or no symptoms (asymptomatic), which remain undetected and may be less infectious.

References: SSRN, EClinicalMedicine

0123456789101112Months0.00.51.01.52.02.53.03.54.0(% of population)Active CasesNo vaccineVaccination window
0123456789101112Months051015202530354045505560(% of population)Total CasesNo vaccineVaccination window

Set vaccine parameters

* For the portion of inoculated population for which the vaccine provides an inadequate primary response.