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

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/leveraging-artificial-intelligence-and-big-data-to-optimize-covid-19-clinical/

## Facts

| Field | Value |
| --- | --- |
| Author Names | B. Mellado,Jianhong Wu,Jude Dzevela Kong,Nicola Luigi Bragazzi,Ali Asgary,Mary Kawonga,Joshua Choma,Kentaro Hayasi,Benjamin Lieberman,Thuso Mathaha,Mduduzi Mbada,Xifeng Ruan,Finn Stevenson,James Orbinski |
| Citations | 34 |
| DOI | 10.3390/ijerph18157890 |
| Fields | Mathematics,Medicine,Social Sciences |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/1660-4601/18/15/7890/pdf?version=1627290322 |
| OpenAlex ID | https://openalex.org/W3183299076 |
| PMID | 34360183 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Mary Kawonga](https://scholariq.org/researchers/mary-kawonga/)

## Paper journal

- [International Journal of Environmental Research and Public Health](https://scholariq.org/journals/international-journal-of-environmental-research-and-public-health/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Vaccine Coverage and Hesitancy](https://scholariq.org/topics/vaccine-coverage-and-hesitancy/)
- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.