AI in One Health Infectious Disease Studies in Sub-Saharan Africa: A Systematic Review

Bruno Enagnon Lokonon's systematic review synthesizes evidence from 62 peer-reviewed studies on the application of artificial intelligence (AI) for infectious disease research within a One Health framework in Sub-Saharan Africa. The document analyzes trends from 2019 to 2024, focusing on diseases like malaria, HIV, COVID-19, and tuberculosis, and identifies gaps in integrating animal and environmental data. It was last updated on April 22, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Analyzing trends in AI adoption for infectious disease research based on the review of 62 studies from 2019-2024
• Identifying geographic and disease-specific research gaps based on the reported concentration of studies in South Africa, Ethiopia, Kenya, and Tanzania and underrepresentation of zoonotic diseases
• Comparing the performance of different AI modeling techniques based on the reported median accuracy metrics for models like Convolutional Neural Networks
• Assessing barriers to AI implementation in health systems based on described constraints like computational infrastructure and data governance

Strengths

• Based on a systematic review of 62 peer-reviewed studies, providing a synthesized evidence base
• Includes specific quantitative findings, such as disease focus percentages (e.g., malaria 24%, HIV 12%) and a reported median accuracy close to 100% for a Convolutional Neural Network model
• Clearly defines the temporal scope, noting rapid growth since 2019 and a surge in publications between 2021 and 2024

Limitations

• The dataset is a 28.6 KB DOCX document, which is a review article, not a primary data collection; scope for direct analysis is limited
• Row count and column-level documentation are absent; the content is textual analysis rather than structured data
• Data may reflect publication bias inherent to the systematic review's source selection and the geographic concentration of studies

Provenance

Source

Bruno Enagnon Lokonon

Collection Method

Systematic review of 62 peer-reviewed studies

Time Range

Studies reviewed up to 2024, with analysis of trends from 2019 onward

Freshness

Last updated 2026-04-22 05:46:46

Geography

Sub-Saharan Africa, with noted concentration in South Africa, Ethiopia, Kenya, and Tanzania