Cristina M. Tato

This paper describes a table-top exercise to evaluate multi-agency response to a hypothetical zoonotic disease outbreak and identifies challenges and recommendations for improving cross-agency coordination.

The paper develops MAD4HatTeR, an amplicon sequencing panel and analysis pipeline for detecting Plasmodium falciparum diversity, resistance markers, and gene duplications/deletions, showing high sensitivity and reproducibility across settings.

The paper identifies a novel bandavirus as the likely cause of a 2020 black vulture mortality event using metagenomic sequencing.

The paper investigates factors associated with a 2021 avian mortality event, finding that birds consuming supplemental feed and ground foragers were significantly represented in affected samples.

CZ ID introduces a long-read metagenomic analysis pipeline, benchmarked against Kraken2, for virus detection and antimicrobial resistance gene identification.

This paper uses evolutionary genomics to identify host metabolic pathways critical for intracellular bacterial survival, validating them through in vitro assays and metabolomics.

The paper uses metagenomic sequencing to investigate a wildlife mortality event in songbirds, finding no single pathogen but highlighting the utility of metagenomics in such investigations.

IDseq provides a cloud-based metagenomics pipeline for pathogen detection, enabling analysis of mNGS data with tools for taxonomic assignment and novel pathogen identification.

The paper identifies a SARS-CoV-2 N gene polymorphism that reduces RT-PCR assay sensitivity and emphasizes the need for multi-target testing.

This study uses metagenomic sequencing to identify pathogens in pediatric meningitis cases in Bangladesh, revealing a Chikungunya virus outbreak and other previously undetected causes.