Evidence map›Paper›PMID 34360183›Full record

ArticleInternational journal of environmental research and public health2021

Leveraging Artificial Intelligence and Big Data to Optimize COVID-19 Clinical Public Health and Vaccination Roll-Out Strategies in Africa.

Bruce Mellado, Jianhong Wu, Jude Dzevela Kong, Nicola Luigi Bragazzi, Ali Asgary, Mary Kawonga, Nalamotse Choma, Kentaro Hayasi, Benjamin Lieberman, Thuso Mathaha and 4 more

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

14 authors.

Bruce MelladoSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.
Jianhong WuCentre for Disease Modelling, York University, Toronto, ON M3J 1P3, Canada.
Jude Dzevela KongCentre for Disease Modelling, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0002-7557-5672
Nicola Luigi BragazziCentre for Disease Modelling, York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0001-8409-868X
Ali AsgaryDisaster & Emergency Management, School of Administrative Studies and Advanced Disaster, Emergency and Rapid-Response Simulation (ADERSIM), York University, Toronto, ON M3J 1P3, Canada.ORCID 0000-0002-6253-1021
Mary KawongaGauteng Department of Health, Johannesburg 2107, South Africa.ORCID 0000-0001-9807-7847
Nalamotse ChomaSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.ORCID 0000-0001-8848-211X
Kentaro HayasiSchool of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg 2050, South Africa.
Benjamin LiebermanSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.ORCID 0000-0001-5281-8937
Thuso MathahaSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.
Mduduzi MbadaHead of Policy at Gauteng Office of the Premier, Johannesburg 2107, South Africa.
Xifeng RuanSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.
Finn StevensonSchool of Physics, Institute for Collider Particle Physics, University of the Witwatersrand, Johannesburg 2050, South Africa.ORCID 0000-0003-0444-2992
James OrbinskiDahdaleh Institute for Global Health Research, York University, Toronto, ON M3J 1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is imposing massive health, social and economic costs. While many developed countries have started vaccinating, most African nations are waiting for vaccine stocks to be allocated and are using clinical public health (CPH) strategies to control the pandemic. The emergence of variants of concern (VOC), unequal access to the vaccine supply and locally specific logistical and vaccine delivery parameters, add complexity to national CPH strategies and amplify the urgent need for effective CPH policies. Big data and artificial intelligence machine learning techniques and collaborations can be instrumental in an accurate, timely, locally nuanced analysis of multiple data sources to inform CPH decision-making, vaccination strategies and their staged roll-out. The Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC) has been established to develop and employ machine learning techniques to design CPH strategies in Africa, which requires ongoing collaboration, testing and development to maximize the equity and effectiveness of COVID-19-related CPH interventions.

Indexed as

Big DataCOVID-19Artificial IntelligenceHumansPublic HealthSARS-CoV-2VaccinationAfricaartificial intelligencebig dataCOVID-19vaccine roll-out

Identifiers

PMID34360183
PMCPMC8345600

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.