Infectious Disease Transmission In A Modified SEIRS model
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913938291032064 |
|---|---|
| author | Banerjee, Kasturi Ray, Subhankar Shamanna, Jayalakshmi |
| author_facet | Banerjee, Kasturi Ray, Subhankar Shamanna, Jayalakshmi |
| contents | Compartmental models like the Susceptible-Infected-Recovered (SIR)\cite{Kermack1927} and its extensions such as the Susceptible-Exposed-Infected-Recovered (SEIRS)\cite{Ottar2020,Ignazio2021,Grimm2021,Paoluzzi2021} are commonly used to model the spread of infectious diseases. We propose here, a modified SEIRS, namely, an SEIRSD model which comprises of (i) a reverse transmission from exposed to susceptible compartment to account for the probabilistic character of disease transmission seen in nature, and (ii) inclusion of mortality caused by infection in addition to death by other causes. We observed that, a reverse flow from exposed to susceptible class, has a significant impact on the height of infection peaks and their time of occurrence. In view of the recent surges of Covid-19 variants, this study is most relevant. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_08385 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Infectious Disease Transmission In A Modified SEIRS model Banerjee, Kasturi Ray, Subhankar Shamanna, Jayalakshmi Populations and Evolution Physics and Society Compartmental models like the Susceptible-Infected-Recovered (SIR)\cite{Kermack1927} and its extensions such as the Susceptible-Exposed-Infected-Recovered (SEIRS)\cite{Ottar2020,Ignazio2021,Grimm2021,Paoluzzi2021} are commonly used to model the spread of infectious diseases. We propose here, a modified SEIRS, namely, an SEIRSD model which comprises of (i) a reverse transmission from exposed to susceptible compartment to account for the probabilistic character of disease transmission seen in nature, and (ii) inclusion of mortality caused by infection in addition to death by other causes. We observed that, a reverse flow from exposed to susceptible class, has a significant impact on the height of infection peaks and their time of occurrence. In view of the recent surges of Covid-19 variants, this study is most relevant. |
| title | Infectious Disease Transmission In A Modified SEIRS model |
| topic | Populations and Evolution Physics and Society |
| url | https://arxiv.org/abs/2507.08385 |