The core algorithm and the central model for our simulation was developed by Manish J. Thapa, a quantum physicist at ETH Zürich, Switzerland. His own research and some other leading research in this field from his peers and contemporaries, especially regarding responding to cascading disaster spreading and frameworks for intelligent network adaptation, have inspired this simulation. The research, now hugely expanded upon by NAAMII's network of scholars, brings these findings together via an intelligent many-model approach. This simulation also includes the standard SEIR model in epidemiology. Our modeling study based on SEIR is detailed in the paper below and is also available on medrxiv.org. It has also been redirected to PlosOne for review by The Lancet owing to a high volume of COVID-19 papers currently being submitted to them.
We have focused on building upon the existing established knowledge and taking it a few steps further instead of wholly depending on one single model. We believe this research, when combined with further real-time data from various sources will be a substantially helpful tool in Nepal and even at a global scale. However, we certainly need to focus first on Nepal given our lack of national scale technical collaboration.