Modelling in ecology and evolution, especially in India, is often done by researchers trained
in physics or engineering without much experience of studying living systems. This is partly …

The ongoing COVID-19 pandemic has posed a significant global challenge to healthcare
systems. Every country has seen multiple waves of this disease, placing a considerable …

Predicting the evolution of Covid19 pandemic has been a challenge as it is significantly
influenced by the characteristics of people, places and localities, dominant virus strains …

Predicting the evolution of the Covid-19 pandemic during its early phases was relatively
easy as its dynamics were governed by few influencing factors that included a single …

Accurate forecasting of Covid-19 case load is essential to ensure healthcare system
preparedness in all countries due to highly infectious strains like Omicron. Although many …

This work estimates the spread scenario of acute diarrhoea and dengue diseases in India.
Statistical, mathematical (compartmental), and deep learning time series models are …

Organizations are struggling to ensure business continuity without compromising on delivery
excellence in the face of Covid19 pandemic related uncertainties. The uncertainty exists …

Agent-Based Models are very useful for simulation of physical or social processes, such as
the spreading of a pandemic in a city. Such models proceed by specifying the behavior of …

Predicting the evolution of a pandemic requires precise understanding of the pathogen and
disease progression, the susceptible population group, means of transmission, and possible …

SAIR model of growth of an epidemic is extended to a system of many interacting regions.
Interactions are described by exchange of populations between various regions. Differences …