COLEV is a mixed-methods study on the design of Artificial Intelligence (AI) and data science-based solutions to inform public health responses to COVID-19 in different local health ecosystems. Our purpose is to produce and communicate evidence for differential public health measures to address COVID-19-related challenges…
COLEV is a mixed-methods study on the design of Artificial Intelligence (AI) and data science-based…
Blogs
In the last week of March 2021, Carol lost her colleague to a brief illness. Her co-worker, a 28-year…
Blogs
Over the last two years, the COAST project aimed at improving the health scope in Uganda by conducting…
Blogs
ARPHAI was created with the objective of developing Artificial Intelligence (AI) and Data Science-based…
Blogs
After the first year of the pandemic in 2021, a partnership was established between the University of…
Blogs
This blog is a reflection on the LAISDAR project's highlights, lessons learned and challenges that emerged…
Blogs
One of the core objectives of the COLEV project is to analyse social media platforms to identify common…
Blogs
The COVID-19 pandemic continues to impact billions of lives globally and has further exacerbated existing…
Blogs
For many people across the globe, the COVID-19 pandemic presented various challenges— movement…
Blogs
Effective communication can be as important as medical treatment itself whenever there is a public health…
Blogs
The island-wide household survey that we recently conducted in Sri Lanka is a key achievement of the…
Blogs