About: Role of modelling in COVID-19 policy development

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About: Role of modelling in COVID-19 policy development 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
has title	Role of modelling in COVID-19 policy development
Creator	Adegboye, Oyelola Pak, A Mcbryde, Emma Meehan, Michael Adekunle, Adeshina Trauer, James Caldwell, Jamie Pak, Anton Rojas, Diana Williams, Bridget Adegboye, O Adekunle, A Caldwell, J Meehan, M Rojas, D Trauer, J Williams, B Mcbryde, S
Source	Elsevier; Medline; PMC
abstract	Models have played an important role in policy development to address the COVID-19 outbreak from its emergence in China to the current global pandemic. Early projections of international spread influenced travel restrictions and border closures. Model projections based on the virus’s infectiousness demonstrated its pandemic potential, which guided the global response to and prepared countries for increases in hospitalisations and deaths. Tracking the impact of distancing and movement policies and behaviour changes has been critical in evaluating these decisions. Models have provided insights into the epidemiological differences between higher and lower income countries, as well as vulnerable population groups within countries to help design fit-for-purpose policies. Economic evaluation and policies have combined epidemic models and traditional economic models to address the economic consequences of COVID-19, which have informed policy calls for easing restrictions. Social contact and mobility models have allowed evaluation of the pathways to safely relax mobility restrictions and distancing measures. Finally, models can consider future end-game scenarios, including how suppression can be achieved and the impact of different vaccination strategies.
has issue date	2020-06-18(xsd:dateTime)
bibo:doi	10.1016/j.prrv.2020.06.013
bibo:pmid	32690354
has license	no-cc
sha1sum (hex)	a064222157501abc5fb4a0789eddbc5c7e3a495a
schema:url	https://doi.org/10.1016/j.prrv.2020.06.013
resource representing a document's title	Role of modelling in COVID-19 policy development
has PubMed Central identifier	PMC7301791
has PubMed identifier	32690354
schema:publication	Paediatr Respir Rev
resource representing a document's body	covid:a064222157501abc5fb4a0789eddbc5c7e3a495a#body_text
is schema:about of	named entity 'COVID-19' named entity 'policy' named entity 'COVID-19' named entity 'data sharing' named entity 'COVID-19 pandemic' named entity 'disease transmission' named entity 'COVID-19' named entity 'public health' named entity 'Brazil' named entity 'effective reproduction number' named entity 'vaccination' named entity 'vaccination' named entity 'COVID-19' named entity 'epidemic' named entity 'clinical trials' named entity 'COVID-19' named entity 'epidemiological' named entity 'clinical trials' named entity 'border closures' named entity 'antiretroviral therapy' named entity 'COVID-19' named entity 'human capital' named entity 'epidemic' named entity 'China' named entity 'South America' named entity 'reproduction number' named entity 'public health' named entity 'infection' named entity 'public health' named entity 'epidemiological' named entity 'dynamic stochastic general equilibrium' named entity 'Asia' named entity 'Indonesia' named entity 'evolution' named entity 'vaccines' named entity 'health systems' named entity 'Australia' named entity 'HIV treatment' named entity 'health care systems' named entity 'Europe' named entity 'Australian Government' named entity 'COVID-19' named entity 'New Zealand' named entity 'COVID-19' named entity 'infection' named entity 'COVID-19 pandemic' named entity 'morbidity' named entity 'epidemic' named entity 'China' named entity 'vaccine' named entity 'Imperial College London' named entity 'infectious disease' named entity 'lock-down' named entity 'influenza' named entity 'China' named entity 'epidemic curve' named entity 'Latin American' named entity 'medical services' named entity 'cost-benefit analysis' named entity 'Africa' named entity 'comorbidities' named entity 'infection' named entity 'local transmission' named entity 'health systems'

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