COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death

Alene, KA; Gelaw, YA; Fetene, DM; Koye, DN; Melaku, YA; Gesesew, H; Birhanu, MM; Adane, AA; Muluneh, MD; Dachew, BA; Abrha, S; Aregay, A; Ayele, AA; Bezabhe, WM; Gebremariam, KT; Gebremedhin, T; Gebremedhin, AT; Gebremichael, L; Geleto, AB; Kassahun, HT; Kibret, GD; Leshargie, CT; Mekonnen, A; Mirkuzie, AH; Mohammed, H; Tegegn, HG; Tesema, AG; Tesfay, FH; Wubishet, BL; Kinfu, Y

COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death

Alene, KA Gelaw, YA Fetene, DM Koye, DN Melaku, YA Gesesew, H Birhanu, MM Adane, AA Muluneh, MD Dachew, BA Abrha, S Aregay, A Ayele, AA Bezabhe, WM Gebremariam, KT Gebremedhin, T Gebremedhin, AT Gebremichael, L Geleto, AB Kassahun, HT Kibret, GD Leshargie, CT Mekonnen, A Mirkuzie, AH Mohammed, H Tegegn, HG Tesema, AG Tesfay, FH Wubishet, BL Kinfu, Y

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Publisher:: BMJ Journals
Publication Type:: Journal Article
Citation:: BMJ Open, 2021, 11, (2)
Issue Date:: 2021-02-18

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Field	Value	Language
dc.contributor.author	Alene, KA
dc.contributor.author	Gelaw, YA
dc.contributor.author	Fetene, DM
dc.contributor.author	Koye, DN
dc.contributor.author	Melaku, YA
dc.contributor.author	Gesesew, H
dc.contributor.author	Birhanu, MM
dc.contributor.author	Adane, AA
dc.contributor.author	Muluneh, MD
dc.contributor.author	Dachew, BA
dc.contributor.author	Abrha, S
dc.contributor.author	Aregay, A
dc.contributor.author	Ayele, AA
dc.contributor.author	Bezabhe, WM
dc.contributor.author	Gebremariam, KT
dc.contributor.author	Gebremedhin, T
dc.contributor.author	Gebremedhin, AT
dc.contributor.author	Gebremichael, L
dc.contributor.author	Geleto, AB
dc.contributor.author	Kassahun, HT
dc.contributor.author	Kibret, GD
dc.contributor.author	Leshargie, CT
dc.contributor.author	Mekonnen, A
dc.contributor.author	Mirkuzie, AH
dc.contributor.author	Mohammed, H
dc.contributor.author	Tegegn, HG
dc.contributor.author	Tesema, AG
dc.contributor.author	Tesfay, FH
dc.contributor.author	Wubishet, BL
dc.contributor.author	Kinfu, Y
dc.date.accessioned	2021-09-15T03:47:22Z
dc.date.available	2021-09-15T03:47:22Z
dc.date.issued	2021-02-18
dc.identifier.citation	BMJ Open, 2021, 11, (2)
dc.identifier.issn	2044-6055
dc.identifier.issn	2044-6055
dc.identifier.uri	http://hdl.handle.net/10453/150555
dc.description.abstract	Background COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. Methods Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. Results This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples’ Region. The risk of COVID-19-related death is high in the country’s border regions, where public health preparedness for responding to COVID-19 is limited. Conclusion This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.
dc.format	Electronic
dc.language	eng
dc.publisher	BMJ Journals
dc.relation.ispartof	BMJ Open
dc.relation.isbasedon	10.1136/bmjopen-2020-044606
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1103 Clinical Sciences, 1117 Public Health and Health Services, 1199 Other Medical and Health Sciences
dc.subject.mesh	Humans
dc.subject.mesh	Risk Factors
dc.subject.mesh	Ethiopia
dc.subject.mesh	Female
dc.subject.mesh	Male
dc.subject.mesh	Pandemics
dc.subject.mesh	Geography, Medical
dc.subject.mesh	COVID-19
dc.subject.mesh	COVID-19
dc.subject.mesh	Ethiopia
dc.subject.mesh	Female
dc.subject.mesh	Geography, Medical
dc.subject.mesh	Humans
dc.subject.mesh	Male
dc.subject.mesh	Pandemics
dc.subject.mesh	Risk Factors
dc.title	COVID-19 in Ethiopia: a geospatial analysis of vulnerability to infection, case severity and death
dc.type	Journal Article
utslib.citation.volume	11
utslib.location.activity	England
utslib.for	1103 Clinical Sciences
utslib.for	1117 Public Health and Health Services
utslib.for	1199 Other Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Public Health
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-09-15T03:47:18Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	2

Abstract:

Background COVID-19 has caused a global public health crisis affecting most countries, including Ethiopia, in various ways. This study maps the vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. Methods Thirty-eight potential indicators of vulnerability to COVID-19 infection, case severity and likelihood of death, identified based on a literature review and the availability of nationally representative data at a low geographic scale, were assembled from multiple sources for geospatial analysis. Geospatial analysis techniques were applied to produce maps showing the vulnerability to infection, case severity and likelihood of death in Ethiopia at a spatial resolution of 1 km×1 km. Results This study showed that vulnerability to COVID-19 infection is likely to be high across most parts of Ethiopia, particularly in the Somali, Afar, Amhara, Oromia and Tigray regions. The number of severe cases of COVID-19 infection requiring hospitalisation and intensive care unit admission is likely to be high across Amhara, most parts of Oromia and some parts of the Southern Nations, Nationalities and Peoples’ Region. The risk of COVID-19-related death is high in the country’s border regions, where public health preparedness for responding to COVID-19 is limited. Conclusion This study revealed geographical differences in vulnerability to infection, case severity and likelihood of death from COVID-19 in Ethiopia. The study offers maps that can guide the targeted interventions necessary to contain the spread of COVID-19 in Ethiopia.

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http://hdl.handle.net/10453/150555