Imperial College COVID-19 Response Team Reports
GPTKB entity
Statements (46)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
scientific report series
|
| gptkbp:analyzes |
healthcare demand
non-pharmaceutical interventions mortality projections transmission dynamics |
| gptkbp:author |
gptkb:Neil_Ferguson
gptkb:Steven_Riley Azra Ghani Christl Donnelly Lucy Okell |
| gptkbp:citation |
gptkb:UK_Government
gptkb:World_Health_Organization gptkb:learned_society gptkb:US_Government thousands |
| gptkbp:fieldOfWork |
gptkb:report
preprint |
| gptkbp:firstPublished |
2020
|
| gptkbp:focusesOn |
gptkb:COVID-19_pandemic
|
| https://www.w3.org/2000/01/rdf-schema#label |
Imperial College COVID-19 Response Team Reports
|
| gptkbp:impact |
influenced lockdown policies
influenced school closure policies influenced social distancing measures influenced travel restrictions |
| gptkbp:influenced |
gptkb:public_policy
government responses to COVID-19 |
| gptkbp:language |
English
|
| gptkbp:license |
open access
|
| gptkbp:notableFor |
estimating effects of interventions
influencing pandemic response predicting COVID-19 deaths without interventions Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand |
| gptkbp:producedBy |
gptkb:Imperial_College_London
Imperial College COVID-19 Response Team |
| gptkbp:relatedTo |
gptkb:MRC_Centre_for_Global_Infectious_Disease_Analysis
J-IDEA (Abdul Latif Jameel Institute for Disease and Emergency Analytics) |
| gptkbp:subjectArea |
epidemiology
public health mathematical modeling |
| gptkbp:website |
https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis/covid-19/report-9-impact-of-npis-on-covid-19/
|
| gptkbp:分布地区 |
gptkb:Europe
gptkb:United_Kingdom gptkb:United_States global |
| gptkbp:bfsParent |
gptkb:Imperial_College_COVID-19_Response_Team_Report_9
|
| gptkbp:bfsLayer |
8
|