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