Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study.
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| Title: | Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study. |
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| Authors: | Gilbert, Marius (AUTHOR), Pullano, Giulia (AUTHOR), Pinotti, Francesco (AUTHOR), Valdano, Eugenio (AUTHOR), Poletto, Chiara (AUTHOR), Boëlle, Pierre-Yves (AUTHOR), D'Ortenzio, Eric (AUTHOR), Yazdanpanah, Yazdan (AUTHOR), Eholie, Serge Paul (AUTHOR), Altmann, Mathias (AUTHOR), Gutierrez, Bernardo (AUTHOR), Kraemer, Moritz U G (AUTHOR), Colizza, Vittoria (AUTHOR) |
| Source: | Lancet. 3/14/2020, Vol. 395 Issue 10227, p871-877. 7p. |
| Subjects: | COVID-19, Preparedness, Capacity building, Communicable diseases, Febrile neutropenia, Prevention of epidemics, Air travel, Civil defense, Mathematical models, Medical care use, Public health surveillance, Research funding, Risk assessment, Theory, At-risk people |
| Geographic Terms: | China, Africa |
| Abstract: | |
| Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 142277231 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gilbert%2C+Marius%22">Gilbert, Marius</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pullano%2C+Giulia%22">Pullano, Giulia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pinotti%2C+Francesco%22">Pinotti, Francesco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Valdano%2C+Eugenio%22">Valdano, Eugenio</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Poletto%2C+Chiara%22">Poletto, Chiara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boëlle%2C+Pierre-Yves%22">Boëlle, Pierre-Yves</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22D'Ortenzio%2C+Eric%22">D'Ortenzio, Eric</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yazdanpanah%2C+Yazdan%22">Yazdanpanah, Yazdan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Eholie%2C+Serge+Paul%22">Eholie, Serge Paul</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Altmann%2C+Mathias%22">Altmann, Mathias</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gutierrez%2C+Bernardo%22">Gutierrez, Bernardo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kraemer%2C+Moritz+U+G%22">Kraemer, Moritz U G</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Colizza%2C+Vittoria%22">Colizza, Vittoria</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 3/14/2020, Vol. 395 Issue 10227, p871-877. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Preparedness%22">Preparedness</searchLink><br /><searchLink fieldCode="DE" term="%22Capacity+building%22">Capacity building</searchLink><br /><searchLink fieldCode="DE" term="%22Communicable+diseases%22">Communicable diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Febrile+neutropenia%22">Febrile neutropenia</searchLink><br /><searchLink fieldCode="DE" term="%22Prevention+of+epidemics%22">Prevention of epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Air+travel%22">Air travel</searchLink><br /><searchLink fieldCode="DE" term="%22Civil+defense%22">Civil defense</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+care+use%22">Medical care use</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health+surveillance%22">Public health surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Theory%22">Theory</searchLink><br /><searchLink fieldCode="DE" term="%22At-risk+people%22">At-risk people</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink><br /><searchLink fieldCode="DE" term="%22Africa%22">Africa</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: <bold>Background: </bold>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.<bold>Methods: </bold>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.<bold>Findings: </bold>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.<bold>Interpretation: </bold>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.<bold>Funding: </bold>EU Framework Programme for Research and Innovation Horizon 2020, Agence Nationale de la Recherche. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0140-6736(20)30411-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 871 Subjects: – SubjectFull: COVID-19 Type: general – SubjectFull: Preparedness Type: general – SubjectFull: Capacity building Type: general – SubjectFull: Communicable diseases Type: general – SubjectFull: Febrile neutropenia Type: general – SubjectFull: Prevention of epidemics Type: general – SubjectFull: Air travel Type: general – SubjectFull: Civil defense Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Medical care use Type: general – SubjectFull: Public health surveillance Type: general – SubjectFull: Research funding Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Theory Type: general – SubjectFull: At-risk people Type: general – SubjectFull: China Type: general – SubjectFull: Africa Type: general Titles: – TitleFull: Preparedness and vulnerability of African countries against importations of COVID-19: a modelling study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gilbert, Marius – PersonEntity: Name: NameFull: Pullano, Giulia – PersonEntity: Name: NameFull: Pinotti, Francesco – PersonEntity: Name: NameFull: Valdano, Eugenio – PersonEntity: Name: NameFull: Poletto, Chiara – PersonEntity: Name: NameFull: Boëlle, Pierre-Yves – PersonEntity: Name: NameFull: D'Ortenzio, Eric – PersonEntity: Name: NameFull: Yazdanpanah, Yazdan – PersonEntity: Name: NameFull: Eholie, Serge Paul – PersonEntity: Name: NameFull: Altmann, Mathias – PersonEntity: Name: NameFull: Gutierrez, Bernardo – PersonEntity: Name: NameFull: Kraemer, Moritz U G – PersonEntity: Name: NameFull: Colizza, Vittoria IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 03 Text: 3/14/2020 Type: published Y: 2020 Identifiers: – Type: issn-print Value: 01406736 Numbering: – Type: volume Value: 395 – Type: issue Value: 10227 Titles: – TitleFull: Lancet Type: main |
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