Ontology highlight
ABSTRACT:
DISEASE(S): Covid-19
SUBMITTER: Kausthubh Ramachandran
PROVIDER: BIOMD0000000956 | BioModels | 2024-09-02
REPOSITORIES: BioModels
Items per page: 1 - 4 of 4 |
Proceedings of the National Academy of Sciences of the United States of America 20200702 29
The coronavirus disease 2019 (COVID-19) pandemic has placed epidemic modeling at the forefront of worldwide public policy making. Nonetheless, modeling and forecasting the spread of COVID-19 remains a challenge. Here, we detail three regional-scale models for forecasting and assessing the course of the pandemic. This work demonstrates the utility of parsimonious models for early-time data and provides an accessible framework for generating policy-relevant insights into its course. We show how th ...[more]