About: Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study

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

About: Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study 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	Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study
Creator	Boëlle, Pierre-Yves Colizza, Vittoria Poletto, Chiara Gilbert, Marius Yazdanpanah, Yazdan Gutierrez, Bernardo Altmann, Mathias Pinotti, Francesco Pullano, Giulia Valdano, Eugenio Eholie, Serge Kraemer, Moritz, U Ortenzio, Eric
topic	covid:0f07a76e45660e547af8810c54b34767cba86a16#this
source	Elsevier; Medline; PMC
abstract	BACKGROUND: The novel coronavirus disease 2019 (COVID-19) epidemic has spread from China to 25 countries. Local cycles of transmission have already occurred in 12 countries after case importation. In Africa, Egypt has so far confirmed one case. The management and control of COVID-19 importations heavily rely on a country's health capacity. Here we evaluate the preparedness and vulnerability of African countries against their risk of importation of COVID-19. METHODS: We used data on the volume of air travel departing from airports in the infected provinces in China and directed to Africa to estimate the risk of importation per country. We determined the country's capacity to detect and respond to cases with two indicators: preparedness, using the WHO International Health Regulations Monitoring and Evaluation Framework; and vulnerability, using the Infectious Disease Vulnerability Index. Countries were clustered according to the Chinese regions contributing most to their risk. FINDINGS: Countries with the highest importation risk (ie, Egypt, Algeria, and South Africa) have moderate to high capacity to respond to outbreaks. Countries at moderate risk (ie, Nigeria, Ethiopia, Sudan, Angola, Tanzania, Ghana, and Kenya) have variable capacity and high vulnerability. We identified three clusters of countries that share the same exposure to the risk originating from the provinces of Guangdong, Fujian, and the city of Beijing, respectively. INTERPRETATION: Many countries in Africa are stepping up their preparedness to detect and cope with COVID-19 importations. Resources, intensified surveillance, and capacity building should be urgently prioritised in countries with moderate risk that might be ill-prepared to detect imported cases and to limit onward transmission. FUNDING: EU Framework Programme for Research and Innovation Horizon 2020, Agence Nationale de la Recherche.
has issue date	2020-02-20(xsd:dateTime)
bibo:doi	10.1016/s0140-6736(20)30411-6
bibo:pmid	32087820
has license	no-cc
sha1sum (hex)	0f07a76e45660e547af8810c54b34767cba86a16
schema:url	https://doi.org/10.1016/s0140-6736%2820%2930411-6
resource representing a document's title	Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study
has PubMed Central identifier	PMC7159277
has PubMed identifier	32087820
schema:publication	Lancet
resource representing a document's body	covid:0f07a76e45660e547af8810c54b34767cba86a16#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/0f07a76e45660e547af8810c54b34767cba86a16
is schema:about of	named entity 'COVID-19' named entity 'health' named entity 'Preparedness' named entity 'COUNTRIES' named entity 'CONTROL' named entity 'LOCAL' named entity 'HERE' named entity 'COUNTRY' named entity 'CAPACITY' named entity 'EVALUATE' named entity 'EPIDEMIC' named entity 'PREPAREDNESS' named entity 'CORONAVIRUS DISEASE 2019' named entity 'THEIR' named entity 'AFRICAN' named entity 'COUNTRIES' named entity 'PREPAREDNESS' named entity 'MODELLING' named entity 'VULNERABILITY' named entity 'STUDY' named entity 'RISK OF' named entity 'BACKGROUND' named entity 'MANAGEMENT' named entity 'SPREAD' named entity 'AFRICA' named entity 'OCCURRED' named entity 'NOVEL CORONAVIRUS' named entity 'TRANSMISSION' named entity 'HAVE' named entity 'COVID-19' named entity 'FAR' named entity 'HEALTH' named entity 'CASE' named entity 'AFRICAN' named entity 'CONFIRMED' named entity '27S' named entity 'EGYPT' named entity 'IMPORTATION' named entity 'VULNERABILITY' named entity 'CHINA' covid:arg/0f07a76e45660e547af8810c54b34767cba86a16 named entity 'importation' named entity 'coronavirus disease 2019' named entity 'importation' named entity 'Tunisia' named entity 'Nigeria' named entity 'IHR' named entity 'Ethiopia' named entity 'public health' named entity 'influenza pandemic' named entity 'air travel' named entity 'socioeconomic' named entity 'coronavirus disease 2019' named entity 'air travel' named entity 'Kenya' named entity 'demographic' named entity 'COVID' named entity 'province level' named entity 'Thailand' named entity 'health systems' named entity 'COVID' named entity 'Singapore' named entity 'China' named entity 'Africa' named entity 'Ethiopia' named entity 'risk communication'

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