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

8 Pages Posted: 18 Feb 2021

See all articles by Bruce Mellado

Bruce Mellado

University of the Witwatersrand

Jianhong Wu

York University - Laboratory for Industrial and Applied Mathematics; Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences

Jude Dzevela Kong

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University

Nicola Luigi Bragazzi

York University

Ali Asgary

York University

Mary Kawonga

University of the Witwatersrand

Nalomotse Choma

University of the Witwatersrand

Kentaro Hayasi

University of the Witwatersrand

Benjamin Lieberman

University of the Witwatersrand

Thuso Mathaha

University of the Witwatersrand

Mduduzi Mbada

Gauteng Health Department

Xifeng Ruan

University of the Witwatersrand

Finn Stevenson

University of the Witwatersrand

James Orbinski

York University

Date Written: February 18, 2021

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.

Keywords: COVID-19; Africa; vaccine roll-out; Big Data; Artificial Intelligence

Suggested Citation

Mellado, Bruce and Wu, Jianhong and Wu, Jianhong and Kong, Jude Dzevela and Bragazzi, Nicola Luigi and Asgary, Ali and Kawonga, Mary and Choma, Nalomotse and Hayasi, Kentaro and Lieberman, Benjamin and Mathaha, Thuso and Mbada, Mduduzi and Ruan, Xifeng and Stevenson, Finn and Orbinski, James, Leveraging Artificial Intelligence and Big Data to Optimize COVID-19 Clinical Public Health and Vaccination Roll-Out Strategies in Africa (February 18, 2021). Available at SSRN: https://ssrn.com/abstract=3787748 or http://dx.doi.org/10.2139/ssrn.3787748

Bruce Mellado

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Jianhong Wu

York University - Laboratory for Industrial and Applied Mathematics ( email )

Canada

Xi'an Jiaotong University (XJTU) - The Interdisplinary Research Center for Mathematics and Life Sciences ( email )

China

Jude Dzevela Kong

Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), York University ( email )

4700 Keele St
Toronto, ON M3J 1P3
Canada

Nicola Luigi Bragazzi (Contact Author)

York University ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

Ali Asgary

York University ( email )

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

Mary Kawonga

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Nalomotse Choma

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Kentaro Hayasi

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Benjamin Lieberman

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Thuso Mathaha

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Mduduzi Mbada

Gauteng Health Department ( email )

GDOH, 78 Fox Street, Marshalltown
Johannesburg, Gauteng
South Africa

Xifeng Ruan

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

Finn Stevenson

University of the Witwatersrand ( email )

1 Jan Smuts Avenue
Johannesburg, GA Gauteng 2000
South Africa

James Orbinski

York University

4700 Keele Street
Toronto, Ontario M3J 1P3
Canada

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