Below is a selection of technical and working papers that go in depth looking at research approaches, methods, findings and limitations focusing on COVID-19 from the Global South AI4COVID program website.
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale
A mixed-methods study on the design of Artificial Intelligence and data science-based strategies to inform public health responses to COVID-19 in different local health ecosystems: A study protocol for COLEV
Twitter-Based Gender Recognition Using Transformers
Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa
Datos digitales de salud: ¿parte de la solución y del problema?
A Comprehensive Overview of Education during Three COVID-19 Pandemic Periods: Impact on Engineering Students in Sri Lanka
Tropicalisation of epidemiological models in Africa: A mixed and hybrid approach to better predict COVID-19 indicators
On Public Sentiments Towards COVID–19 Vaccines in South African Cities: An Analysis of Twitter Posts
COVID-19 Pandemic Related Research in Africa: Bibliometric Analysis of Scholarly Output, Collaborations and Scientific Leadership
Big Data- and Artificial Intelligence-Based Hot-Spot Analysis of COVID-19: Gauteng, South Africa, as a case study
Hands Off: A Handshake Interaction Detection and Localization Model for COVID-19 Threat Control
Development of an Early Alert System for an Additional Wave of COVID-19 Cases Using a Recurrent Neural Network with Long Short-Term Memory
Spatial analysis of COVID-19 and socio-economic factors in Sri Lanka
Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale