Evidence map›Paper›PMID 33602713›Full record

ArticleBMJ open2021

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

Kefyalew Addis Alene, Yalemzewod Assefa Gelaw, Dagnachew Muluye Fetene, Digsu N Koye, Yohannes Adama Melaku, Hailay Gesesew, Mulugeta Molla Birhanu, Akilew Awoke Adane, Muluken Dessalegn Muluneh, Berihun Assefa Dachew and 20 more

Abstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Geospatial Overlap of Undernutrition and Tuberculosis in Ethiopia.International journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Kefyalew Addis AleneWesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, Western Australia, Australia kefyalew.alene@curtin.edu.au.
Yalemzewod Assefa Gelaw *Department of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Dagnachew Muluye FeteneBurnet Institute, Melbourne, Victoria, Australia.
Digsu N KoyeDepartment of Medicine at Royal Melbourne Hospital and Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia.
Yohannes Adama MelakuCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-3051-7313
Hailay GesesewCollege of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.ORCID 0000-0002-3531-4400
Mulugeta Molla BirhanuDepartment of Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia.
Akilew Awoke AdaneDepartment of Epidemiology and Biostatistics, Institute of Public Health, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-3022-5230
Muluken Dessalegn MulunehWestern Sydney University, Penrith South, New South Wales, Australia.
Berihun Assefa DachewSchool of Population Health, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-4041-6129
Solomon AbrhaUniversity of Canberra, Canberra, Australian Capital Territory, Australia.
Atsede AregayMonash University, Clayton, Victoria, Australia.
Asnakew Achaw AyeleSchool of Pharmacy, University of Gondar, Gondar, Ethiopia.
Woldesellassie M BezabheUniversity of Tasmania Faculty of Health, Hobart, Tasmania, Australia.ORCID 0000-0002-3028-6949
Kidane Tadesse GebremariamSchool of Public Health, Mekelle University, Mekelle, Ethiopia.
Tesfaye GebremedhinUniversity of Canberra, Canberra, Australian Capital Territory, Australia.
Amanuel Tesfay GebremedhinWesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Nedlands, Western Australia, Australia.
Lemlem GebremichaelSchool of Pharmacy, Mekelle University, Mekelle, Ethiopia.
Ayele Bali GeletoHaramaya University, Dire Dawa, Ethiopia.
Habtamu Tilahun KassahunAustralian Rivers Institute, Griffith University, Nathan, Queensland, Australia.
Getiye Dejenu KibretCollege of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Cheru Tesema LeshargieCollege of Health Science, Debre Markos University, Debre Markos, Ethiopia.
Alemayehu MekonnenDeakin University, Burwood, Victoria, Australia.
Alemnesh H MirkuzieEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Hassen MohammedVaccinology and Immunology Research Trials Unit, Women's and Children's Hospital, Adelaide, South Australia, Australia.
Henok Getachew TegegnUniversity of New England, Armidale, New South Wales, Australia.ORCID 0000-0003-0644-0958
Azeb Gebresilassie TesemaSchool of Public Health, Mekelle University, Mekelle, Ethiopia.
Fisaha Haile TesfaySchool of Public Health, Mekelle University, Mekelle, Ethiopia.ORCID 0000-0003-0399-1711
Befikadu Legesse WubishetFaculty of Health and Medicine, The University of Newcastle, Callaghan, New South Wales, Australia.
Yohannes Kinfu *University of Canberra, Canberra, Australian Capital Territory, Australia.ORCID 0000-0001-9607-6891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-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.

methodsThirty-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.

resultsThis 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.

conclusionThis 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.

Indexed as

Geography, MedicalCOVID-19EthiopiaFemaleHumansMalePandemicsRisk Factorsepidemiologypublic health

Identifiers

PMID33602713
PMCPMC7896372

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.