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RAPiD-VBP

Responsible AI for developing a Robust public health surveillance system: Early Detection and Prediction of Vector-borne Viral Zoonotic Pathogens

Our Bold Idea

We propose a robust public health surveillance system powered by an AI-based automated vector surveillance system, with the capacity for early detection and early warning signals of potential threats to improve public health response to outbreaks.

A risk-targeted early detection surveillance system supported by climate-driven predictive models, will identify novel circulating viruses in insect vectors, humans and animals before diseases become apparent on a scale that becomes difficult to contain.

This will improve the capacity of public health systems to detect, prepare and respond effectively to threats.

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Background/Introduction

Zoonotic diseases—those that are transmitted from animals to humans—pose a profound and growing threat to global health. As human populations expand and encroach on natural habitats, the risk of pathogens crossing the species barrier increases dramatically. This convergence of human and animal environments has led to a staggering statistic: 60% of all human infectious diseases are zoonotic in origin.

The danger doesn't stop there. As highlighted in the image, 75% of emerging infectious diseases, including notorious pathogens such as Ebola, HIV, and various strains of influenza, are linked to animals. These diseases have the potential to cause widespread outbreaks and pandemics, putting millions of lives at risk and straining public health systems worldwide.

Aims of the study

Field collection of mosquitoes with bioacoustics sensor-traps/blood meal analysis.

Follow up collection of biological samples (human, animal, environmental).

DNA extraction, amplicon-based and metagenomic sequencing, and phylogenetic analysis/identification of known and novel viruses.

Development of targeted diagnostic protocols for early detection of novel viruses.

Funding Opportunities

At AI4PEP, we are committed to fostering innovation and empowering researchers and institutions across the globe. Our funding initiatives are designed to support groundbreaking research and development in the field of artificial intelligence (AI) with a particular focus on improving public health preparedness and response. By providing grants, funding, and awards, we aim to accelerate the discovery and implementation of responsible AI solutions that can address pressing public health challenges.