Barbara A. Han

Aminopeptidase N is a receptor for hedgehog merbecoviruses

This study identifies Aminopeptidase N as the receptor for hedgehog merbecoviruses and shows restricted cross-species receptor use.

From receptor binding to biogeography: Multi-scale prediction of filovirus hosts in bats

This paper predicts filovirus host susceptibility in bats by integrating molecular binding data with ecological and phylogenetic information across 1,300 species.

Museum collections and machine learning guide discovery of novel coronaviruses and paramyxoviruses

The paper uses machine learning to screen museum tissues for novel coronaviruses and paramyxoviruses, recovering sequences from archived samples and identifying new host species.

Integrating predictors of host condition into spatiotemporal multi-scale models of virus shedding

The paper develops a multi-scale statistical model to predict Hendra virus shedding in black flying foxes by integrating environmental and host condition factors across spatial and temporal scales.

Understanding Ecological Systems Using Knowledge Graphs: An Application to Highly Pathogenic Avian Influenza

The paper develops a knowledge graph to analyze highly pathogenic avian influenza, identifying new relationships and validating the utility of knowledge graphs in ecological systems.

Fast-lived Vertebrate Hosts Exhibit Higher Potential for Mosquito-borne Parasite Transmission

The paper investigates how the pace of life in vertebrate hosts affects their potential to transmit mosquito-borne parasites, finding that fast-lived hosts generally have higher transmission potential.

Data-driven identification of potential Zika virus vectors

The paper develops a data-driven model to predict potential Zika virus vectors by analyzing vector-virus trait combinations, identifying 35 species, including seven in the continental US.