Evidence map›Paper›PMID 41810013›Full record

ArticleJournal of public health in Africa2026

Prioritisation and risk ranking of epidemic-prone diseases for emergency preparedness and response in Eastern Africa using a multi-criteria decision analysis framework, 2023.

Neema Kamara, Motuma Guyassa, Georgios Theocharopoulos, Anouar S Mohamed, Halifa M Said, Despina Pampaka, Jonathan Suk, Lul P Riek, Merawi Aragaw

Abstract read
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Article in Journal of public health in Africa, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Neema KamaraAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-9363-1247
Motuma GuyassaAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0009-0001-5079-2873
Georgios TheocharopoulosEuropean Centre for Disease Prevention and Control, Solna, Sweden.ORCID https://orcid.org/0000-0002-3966-2736
Anouar S MohamedAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0009-0002-6816-9147
Halifa M SaidAfrica Centres for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0009-0007-9756-7036
Despina PampakaEuropean Centre for Disease Prevention and Control, Solna, Sweden.ORCID https://orcid.org/0000-0001-8594-6054
Jonathan SukEuropean Centre for Disease Prevention and Control, Solna, Sweden.ORCID https://orcid.org/0000-0003-4689-4583
Lul P RiekAfrica Centres for Disease Control and Prevention, Nairobi, Kenya.ORCID https://orcid.org/0009-0005-9381-527X
Merawi AragawAfrica Centres for Disease Control and Prevention, Addis Ababa, Ethiopia.ORCID https://orcid.org/0000-0001-7571-8795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Resources to respond to emerging and re-emerging infectious disease emergencies are limited. Aim: To support preparedness planning and resource allocation, a prioritisation methodology was applied to rank epidemic-prone diseases in Eastern Africa. Setting: The study took place in the eastern region of Africa representing 14 member states. Methods: A multi-criteria decision analysis (MCDA) combined with a modified Delphi approach, adapted from the Africa Centres for Disease Control and Prevention (CDC's) continental prioritisation framework was employed. A planning team of epidemiologists and infectious disease experts designed the exercise, implemented through a three-day workshop in Comoros from 9 May 2023 to 11 May 2023. The workshop convened 43 experts from Eastern Africa member states and partner organisations to rank diseases. Participants assessed each disease against 19 predefined criteria, grouped into four overarching domains: risk trajectory, epidemic potential, disease severity, and preparedness and medical countermeasures. Overall risk was calculated as the product of risk trajectory, epidemic potential, and disease severity. Results: Twenty-eight experts (88%, 28 of the eligible participants, Conclusion: Ebola virus disease (EVD), Marburg virus disease (MVD) and cholera ranked highest in risk, while unknown disease and zoonoses showed the lowest preparedness. Contribution: Amid current funding constraints, these findings provide evidence to guide Africa CDC and partners in strengthening emergency preparedness and response in Eastern Africa, highlighting priority diseases while underscoring the need for further analysis of capacity gaps.

Indexed as

Eastern Africaemergency preparednessemergency responseemerging infectious diseasesepidemic-prone diseasesinfectious diseaserisk prioritisationrisk ranking

Identifiers

PMID41810013
PMCPMC12969510

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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.