Unknown

Dataset Information

0

Bertozzi2020 - SIR model of scenarios of COVID-19 spread in CA and NY


ABSTRACT: 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 these models can be connected to each other and to time series data for a particular region. Capable of measuring and forecasting the impacts of social distancing, these models highlight the dangers of relaxing nonpharmaceutical public health interventions in the absence of a vaccine or antiviral therapies.

ORGANISM(S): Severe acute respiratory syndrome coronavirus 2

SUBMITTER: Lucian Smith 

PROVIDER: MODEL2008070001 | biostudies-other |

SECONDARY ACCESSION(S): 32616574

REPOSITORIES: biostudies-other

altmetric image

Publications

The challenges of modeling and forecasting the spread of COVID-19.

Bertozzi Andrea L AL   Franco Elisa E   Mohler George G   Short Martin B MB   Sledge Daniel D  

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]

Similar Datasets

| MODEL2008110001 | biostudies-other
| S-EPMC9043634 | biostudies-literature
| MODEL2009160002 | biostudies-other
| MODEL2007280002 | biostudies-other
| S-EPMC7414273 | biostudies-literature
| S-EPMC8613005 | biostudies-literature
| S-EPMC10769830 | biostudies-literature
| S-EPMC8675184 | biostudies-literature
| S-EPMC10388833 | biostudies-literature
| MODEL2012240001 | biostudies-other