About: Demographic science aids in understanding the spread and fatality rates of COVID-19

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Demographic science aids in understanding the spread and fatality rates of COVID-19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Demographic science aids in understanding the spread and fatality rates of COVID-19
Creator	Liu, Yan Andriano, Liliana Brazel, David Ding, Xuejie Dowd, Jennifer Mills, Melinda Rotondi, Valentina
source	Medline; PMC
abstract	Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs.
has issue date	2020-05-05(xsd:dateTime)
bibo:doi	10.1073/pnas.2004911117
bibo:pmid	32300018
has license	cc-by
sha1sum (hex)	d47a4314bb32d153ec6ea22ce49a87e8fbb38455
schema:url	https://doi.org/10.1073/pnas.2004911117
resource representing a document's title	Demographic science aids in understanding the spread and fatality rates of COVID-19
has PubMed Central identifier	PMC7211934
has PubMed identifier	32300018
schema:publication	Proc Natl Acad Sci U S A
resource representing a document's body	covid:d47a4314bb32d153ec6ea22ce49a87e8fbb38455#body_text
is schema:about of	named entity 'COVID-19' named entity 'childcare' named entity 'Italy' named entity 'Age Structure' named entity 'Italy' named entity 'Brazil' named entity 'Demographic' named entity 'COVID-19' named entity 'COVID-19' named entity 'CFR' named entity 'age structure' named entity 'mortality rates' named entity 'South Korea' named entity 'age structure' named entity 'Italy' named entity 'age structure' named entity 'age structure' named entity 'Italian' named entity 'age structure' named entity 'Italy' named entity 'physical distancing' named entity 'COVID-19' named entity 'rates of infection' named entity 'comorbidities' named entity 'COVID-19' named entity 'COVID-19' named entity 'tuberculosis' named entity 'Korea' named entity 'age structure' named entity 'Population aging' named entity 'mortality risk' named entity 'Nigeria' named entity 'age structure' named entity 'mortality risk' named entity 'United States' named entity 'Italy' named entity 'coronavirus disease 2019' named entity 'demographic' named entity 'median age' named entity 'social distancing' named entity 'key demographic' named entity 'China' named entity 'critical care' named entity 'COVID-19' named entity 'comorbidities' named entity 'age structure' named entity 'COVID-19' named entity 'case fatality rates' named entity 'chronic obstructive pulmonary disease' named entity 'CFRs' named entity 'older age' named entity 'CFR' named entity 'case fatality rates' named entity 'sick pay' named entity 'Spain' named entity 'CFR' named entity 'age structure' named entity 'COVID-19' named entity 'population groups' named entity 'age structure' named entity 'Italy' named entity 'Korean outbreak' named entity 'critical care' named entity 'March 30, 2020' named entity 'population dynamics' named entity 'Greater London' named entity 'King County' named entity 'Italy' named entity 'HIV' named entity 'South Korea' named entity 'COVID-19' named entity 'flattening the curve' named entity 'Italy' named entity 'age structure' named entity 'Italy'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software