| Property | Value |
|---|
|
?:abstract
|
-
COVID-19 pandemic has changed and challenged nearly every aspect of modern life. In the absence of a cure, non-pharmaceutical intervention and behavioral changes have played a crucial role in controlling its spread. Joint efforts of the scientific community have aimed to evaluate through models the effectiveness of different actions and to forecast the detrimental effects of this disease. In the present work, we adapted a recently published multi-group SEIRA model to represent the spreading dynamics of COVID-19 in Chile, where different groups would represent geographically separated regions. Using national mobilization statistics to estimate the connectivity among such groups and the official COVID-19 reported data by the government, we fitted COVID-19 spreading and fatality rates, for every region. Then, we assessed the effectiveness of different governmental interventions on the spread of COVID-19. A comparison between the reproductive numbers (Rt) separately obtained from raw data and fitted parameters.
|
|
is
?:annotates
of
|
|
|
?:arxiv_id
|
|
|
?:creator
|
|
|
?:externalLink
|
|
|
?:license
|
|
|
?:pdf_json_files
|
-
document_parses/pdf_json/61391bd3540707c5b2b08e9233f5ad03501463fa.json
|
|
?:publication_isRelatedTo_Disease
|
|
|
?:sha_id
|
|
|
?:source
|
|
|
?:title
|
-
On the heterogeneous spread of COVID-19 in Chile
|
|
?:type
|
|
|
?:year
|
|
![[This page as RDF]](https://research.tib.eu/covid-19/static/rdf-icon.gif){kind=icon}