Research Article

A Simulation Study on Hypothetical Ebola Virus Transmission in India Using Spatiotemporal Epidemiological Modeler (STEM): A Way towards Precision Public Health

Table 1

Different parameters in compartmental modelling related to Infection transmission.

ParametersDescription

Susceptible ()Total number of population who are at risk
Exposed ()Total number of population who came in contact with a disease person and carrying the infective agent
Infected ()Number of exposed population developing sign and symptoms and infectious to others
Recovered/immune ()Number of infected population recovering from the disease and no longer infectious to others. It also includes the population who are resistant to that infection by means of immunization or chemoprophylaxis or previous infection.
Disease transmission rate (It is the multiplication of basic reproductive number () and infectivity rate.
is the number of secondary infections caused by one primary infection introduced to a fully susceptible demographically steady population. Infectivity rate: it is mathematically derived by (1/infectivity period). It is the difference between observed serial number and incubation period.
Incubation rate (It is mathematically derived by (1/incubation period).
Incubation period is the time interval between invasion by an infectious agent and appearance of first sign and symptom.
Recovery rate (It is mathematically calculated by (1 − infections mortality rate) infectivity rate.
Infection mortality rate (It is the percentage of population who died due to that infectious disease.
Immunity loss rate (It is derived from the immunity loss period, which is the time interval to became susceptible after complete recovery.