Stephanie N. Seifert

Arenavirus and hantavirus surveillance in small mammals tracks night-lights and accessibility; after adjusting for effort, fast-lived and synanthropic species are somewhat more often detected as hosts.

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

The paper investigates factors determining effective reassortment in orthohantaviruses, finding that ecological overlap and molecular compatibility are key for reassortant establishment.

This paper develops a statistical model using serosurveillance data to predict peak pathogen prevalence in wildlife reservoirs, improving the timing of field sampling for zoonotic pathogens.

This study compares the susceptibility of Old World and New World bat cell lines to Zika virus, finding that Old World bat cells support viral replication and strong inflammatory responses.

The paper uses machine learning to classify RNA virus infections from host transcriptomes without relying on viral sequences, showing accurate classification across different viruses.

The paper reports the first Sin Nombre virus genome sequences from the Northwestern United States and voles, revealing high prevalence and evidence of viral reassortment.

The paper identifies novel and previously known alphacoronaviruses in three bat species in Belize and finds phylogenetic similarity between bat CoVs and human 229E and NL63 coronaviruses.

TATAT generates annotated coding transcriptomes from raw RNA-seq data using a standardized, Dockerized workflow, demonstrating its effectiveness on the Egyptian rousette bat.

This study generates and characterizes bat cell lines from Carollia perspicillata to study viral susceptibility and innate immune responses, showing their utility for virological research.

This paper proposes the development of a database (ArHa) integrating host-pathogen dynamics and human disease data for Arenaviruses and Hantaviruses to improve risk assessments and public health interventions.