Augmentation of Wastewater-Based Epidemiology with Machine Learning to Support Global Health Surveillance

Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance

Wastewater-based epidemiology (WBE) has proven to be a valuable tool for monitoring the evolution and spread of global health threats, from pathogens to antimicrobial resistances. Throughout the COVID-19 pandemic, multiple wastewater surveillance programmes have advanced statistical and machine learning methods for detecting pathogens from wastewater sequencing data and correlating measured targets with the represented population to infer meanin…

Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance - AMR Insights

Wastewater-based epidemiology (WBE) is crucial for monitoring global health threats, including pathogens and antimicrobial resistances. During the COVID-19 pandemic, advanced statistical and machine learning methods were used to detect pathogens from wastewater sequencing data. However, data availability and harmonization challenges hinder method development. The paper highlights the importance of integrating WBE with other health surveillance s…

Wastewater surveillance shows increasing COVID-19 viral load in India

According to the latest data released by the Union Health Ministry on May 31, India registered 685 more active cases, taking the total number of COVID-19 cases to 3,395 since January this year. At 1,336, Kerala has reported the most number of COVID-19 cases, followed by 467 in Maharashtra. The small number of cases reported … Continue reading Wastewater surveillance shows increasing COVID-19 viral load in India