Review Of Artificial Intelligence Platforms For Early Pandemic Detection In Latin America

Artificial Intelligence

Date: June 2024

Diana Carolina Valladares Merejildo

Diana Carolina Valladares Merejildo

The research aims to analyze artificial intelligence (AI)-based epidemiological surveillance platforms for pandemic prevention and preparedness in Latin America (LATAM), using the COVID-19 pandemic as a case study. To this end, traditional COVID-19 detection methods, such as Polymerase Chain Reaction (PCR) and rapid antigen tests, will be compared with next-generation technologies like Next-Generation Sequencing (PacBio SMRT, Oxford Nanopore Technologies (ONT), and Ion Torrent) and AI platforms (HealthMap and BlueDot).

This analysis seeks to highlight the importance of AI in health systems to provide a timely response to health emergencies. Additionally, recommendations will be provided to public health decision-makers in LATAM, aiming to strengthen health systems’ capacity to detect and manage infectious disease outbreaks, especially in resource-limited contexts.

The research aims to analyze artificial intelligence (AI)-based epidemiological surveillance platforms for pandemic prevention and preparedness in Latin America (LATAM), using the COVID-19 pandemic as a case study. To this end, traditional COVID-19 detection methods, such as Polymerase Chain Reaction (PCR) and rapid antigen tests, will be compared with next-generation technologies like Next-Generation Sequencing (PacBio SMRT, Oxford Nanopore Technologies (ONT), and Ion Torrent) and AI platforms (HealthMap and BlueDot).

This analysis seeks to highlight the importance of AI in health systems to provide a timely response to health emergencies. Additionally, recommendations will be provided to public health decision-makers in LATAM, aiming to strengthen health systems’ capacity to detect and manage infectious disease outbreaks, especially in resource-limited contexts.