An Intelligent Disease Surveillance Data Feedback System
This is a project funded by the Bill & Melinda Gates Foundation. We work in partnership with the Public Health Institute of Malawi (PHIM) and colleagues at DHOs in Blantyre and Lilongwe.
DELIVERABLES
PRESS RELEASE
“Amelia Taylor of Malawi University of Business and Applied Sciences in Malawi
will employ Large Language Models (LLMs), including ChatGPT and MedPalm, to develop
a tool to streamline the collection, analysis, and use of COVID-19 data. Collecting
accurate and comprehensive data during a pandemic is critical for response efforts
but the process is labor-intensive. During COVID-19 surveillance, there were also
limited training materials available to explain specialized concepts for data collection
to the multidisciplinary teams.
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DISSEMINATION WORKSHOP
The lab conducted a research workshop in which we presented the work and findings of the
project “AI GRAND CHALLENGES – Practical AI Solutions for Malawi” was held at
Amaryllis Hotel in Blantyre on 28th March 2024 from 8:00 am to 4:00 pm.The theme was
“Can Generative AI provide solutions for challenges faced in healthcare in Malawi?”.
We reported on our work in experimenting with generative AI to provide self-directed
access to knowledge for healthcare professionals in Malawi.
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BLOG POST
The response of Malawi to COVID-19 highlighted the significance of surveillance data in shaping effective disease
control strategies. The current system involves gathering client data manually by district health workers using
paper-based COVID-19 Case Based Surveillance (CBSR) forms. This information is consolidated in an Excel line list
database submitted to the Public Health Institute of Malawi (PHIM). The shared data is further consolidated with
other district data for public dissemination and disease response planning
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EXPERIENCE
In September 2022, the Public Health Institute of Malawi granted the INSPIRE PEACH project access
to national COVID-19-line list data. The project aimed to harmonize population health data across
diverse entities and was led locally by Dr Amelia Taylor of the Malawi University of Business and
Applied Sciences (MUBAS). However, upon accessing the data, several discrepancies were
discovered. Dr Amelia and I discussed the gaps in detail and in consultation with PHIM, developed
qualitative research questions to investigate the COVID-19 data collection processes and reasons for
discrepancies at District Health Offices (DHO).
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