Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection

@article{Sivaraman2022ExoSIRAE,
  title={Exo-SIR: an epidemiological model to analyze the impact of exogenous spread of infection},
  author={Nirmal Kumar Sivaraman and Manas Gaur and Shivansh Baijal and Sakthi Balan Muthiah and Amit P. Sheth},
  journal={International Journal of Data Science and Analytics},
  year={2022},
  pages={1 - 16}
}
Epidemics like Covid-19 and Ebola have impacted people’s lives significantly. The impact of mobility of people across the countries or states in the spread of epidemics has been significant. The spread of disease due to factors local to the population under consideration is termed the endogenous spread. The spread due to external factors like migration, mobility, etc., is called the exogenous spread. In this paper, we introduce the Exo-SIR model, an extension of the popular SIR model and a few… 

References

SHOWING 1-10 OF 46 REFERENCES

Multiple Epidemic Wave Model of the COVID-19 Pandemic: Modeling Study

TLDR
The hypothesis that the COVID-19 pandemic can be successfully modeled as a series of epidemic waves (subepidemics) and that it is possible to infer to what extent the imposition of early intervention measures can slow the spread of the disease is supported.

Mobility-based SIR model for complex networks: with case study Of COVID-19

TLDR
Two versions of the mobility-based SIR model, fully mixed and for complex networks, are proposed, which takes into account the population distribution, connectivity of different geographic locations across the globe, and individuals’ network connectivity information.

Mathematical Model to Estimate and Predict the COVID-19 Infections in Morocco: Optimal Control Strategy

TLDR
A new discrete-time mathematical model is presented describing the evolution of the COVID-19 in a population under quarantine to estimate and predict the situation of the new coronavirus pandemic in countries under quarantine measures.

A Time-Dependent SIR Model for COVID-19 With Undetectable Infected Persons

TLDR
A time-dependent SIR model that tracks the transmission and recovering rate at time of COVID-19 is proposed and it is shown that there are several countries on the verge of CO VID-19 outbreaks on Mar. 2, 2020.

Propagation and mitigation of epidemics in a scale-free network

TLDR
A counterexample to the epidemic curve and the final extent of the COVID-19 pandemic based on random propagation of an epidemic in Barabasi--Albert scale-free network models, which shows a similar effect on extent and top infection rate as blind quarantining a random 50\%{} of the full community.

COVID-19 Modeling: A Review

TLDR
The review shows how modeling methods such as mathematical and statistical models, domain-driven modeling by epidemiological compartmental models, medical and biomedical analysis, AI and data science in particular shallow and deep machine learning, simulation modeling, social science methods and hybrid modeling have addressed the COVID-19 challenges and what gaps and directions exist for better futures.

COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data

TLDR
It is posit that citizen ideology obtainable from twitter conversations can provide insights into conformity to policy and suitably reflect on future case predictions, and it is seen that the new case predictions reflects twitter sentiment, meaningfully tied to a trigger sub-event that enables policy-related findings for Spain and India to be effectively compared.

Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation

TLDR
A precise spread model of COVID-19 with time-dependent parameters via deep learning to respond promptly to the dynamic situation of the outbreak and proactively minimize damage is developed and could help the government prepare for a new outbreak.

Predictive models of COVID-19 in India: A rapid review