Evidence map›Paper›PMID 32500116›Full record

ArticleAAS open research2020

Leveraging investments in Ebola preparedness for COVID-19 in Sub-Saharan Africa.

Rodgers Ayebare, Peter Waitt, Stephen Okello, Mubaraka Kayiira, Maureen Atim Ajok, Irene Nakatudde, Nahid Bhadelia, Mohammed Lamorde

Abstract read
In one paragraph

Article in AAS open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

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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

8 authors.

Rodgers AyebareDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.ORCID https://orcid.org/0000-0002-7287-8563
Peter WaittDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.
Stephen OkelloMakerere University Walter Reed Porject, Kampala, Kampala, 000256, Uganda.
Mubaraka KayiiraDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.
Maureen Atim AjokDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.
Irene NakatuddeDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.ORCID https://orcid.org/0000-0002-7438-5658
Nahid BhadeliaEmerging Infectious Diseases Laboratories, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, 02118, USA.ORCID https://orcid.org/0000-0003-4512-2741
Mohammed LamordeDepartment of Global Health Security, Infectious Diseases Institute, Makerere University, Kampala, Kampala, 000256, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of SARS-CoV-2 in China and transmission to more than 80 territories worldwide, including nine countries in Africa, presents a delicate situation for low-resource settings. Countries in Eastern and Central Africa have been on high alert since mid-2018 in anticipation of regional spread of the Ebola virus from the Democratic Republic of Congo. Significant investment has been made to support enhanced surveillance at point of entry and hospitals, infection control practices, clinical case management, and clinical research. With a new threat on the horizon, African countries have an opportunity to leverage the existing capacities for Ebola preparedness to brace for the imminent threat.

Indexed as

CoronavirusCOVID-19 preparednessEbolaSARS-CoV-2

Identifiers

PMID32500116
PMCPMC7236423

What OpenQuestion holds

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LicenceCC BY
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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.