Zoonotic diseases and public health

This study analyzes microbial diversity in insectivores, finding they host many viruses related to humans and are key in virus transmission between species.

The paper evaluates environmental sampling gaps in a 20-year hantavirus surveillance program in Panama and proposes strategies to improve future pathogen surveillance.

The paper predicts future abundance changes of three bird species in the Netherlands and discusses implications for disease risk.

The paper surveys zoonotic pathogens in small mammals across a forest anthropization gradient, finding pathogen richness and community structure vary with host species, site, and urban adaptation traits.

This study improves machine learning models for predicting zoonotic virus infectivity by expanding datasets and using large language models, showing better performance for segmented RNA viruses and post-2018 emerging viruses.

This study identifies human herpesvirus 1 (HHV-1) as the cause of an epizootic in black-tufted marmosets in Brazil, highlighting human-to-primate pathogen transmission risks.

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.

This paper introduces VirHRanger, a foundation model for predicting viral host range using genomic and protein data, achieving high accuracy across diverse viruses and host categories.

The paper analyzes the pathogen infectome of small mammals in southern China, identifying new pathogens and factors influencing their distribution and diversity.

The paper identifies five novel adenovirus lineages in small mammals from the Western Ghats, highlighting unexplored viral diversity and zoonotic potential.

The paper analyzes wildlife infectomes to identify zoonotic pathogens, finding 62 novel pathogens including a new coronavirus genus and highlighting high pathogen diversity in Carnivora and Rodentia.

This study identifies zoonotic pathogens and environmental RNA viruses in non-human primates using gut meta-virome analysis, revealing potential risks for cross-species transmission.

The paper identifies 162 viral species in small mammals from Yunnan, China, including 102 novel species and 24 with potential human health risks.

The paper shows that spillover rate is not predictive of host jump risk, but spillover novelty is a stronger predictor.

The paper models the impact of virus discovery and pandemic virus identification on preventing future pandemic deaths, finding that virus discovery has greater potential than laboratory-based pandemic potential characterization.

The paper analyzes meta-transcriptomic data from companion animals to identify microbial communities and assess zoonotic risks.

The paper develops and validates a multiplexed magnetic-capture ddPCR tool for detecting pathogens in polar bear tissues, showing detection of multiple bacterial and parasitic pathogens in 48 samples.

This study investigates the evolutionary drivers of viral host jumps using genomic data, finding that humans can be both sources and sinks for viral spillover and that adaptation varies across viral families.

The paper develops a targeted DNA enrichment method using RNA probes to identify zoonotic pathogens in museum-archived tissues, demonstrating its effectiveness in detecting bacterial species.

This study finds higher virome convergence between Cameroonian humans and great apes compared to a European zoo, highlighting environmental co-use as a mechanism for viral sharing.

The study tests Sunda pangolins for coronaviruses and other zoonotic viruses but finds no evidence of such viruses in samples from Malaysia.

SISS-Geo is a collaborative platform for monitoring wildlife health in Brazil, integrating citizen science, laboratory diagnostics, and computational tools to address challenges in disease surveillance and risk prediction.