Matthew Baylis

The paper analyzes mosquito viromes from UK zoos using metagenomics, identifying two novel Orthobunyaviruses, including one potentially arbovirus.

This study shows that thermal fertility limits in Aedes aegypti are more restrictive than lethal temperature limits, affecting climatic suitability predictions for mosquito distribution and disease risk.

This paper reviews laboratory-confirmed vector competence of Anopheles mosquitoes for arboviruses, finding some species act as secondary vectors and may contribute to virus overwintering.

The paper develops a mathematical model to quantify vector diversion effects in zoonotic systems, showing how vector control interventions can impact transmission dynamics across host populations.

The paper uses machine learning to model the spread of H5N1 avian influenza in Europe, finding that ecological factors refine risk predictions beyond climate alone.

This study identifies 41 viral taxa, including 11 novel species, in UK Culex mosquitoes using HTS, revealing hidden arbovirus signals and limited ecological structuring.

This study investigates the presence of Culicoides biting midges in flower-packaging plants in Kenya, finding low numbers and a decline with production stages, suggesting a minimal risk of exporting these vectors with cut flowers.

The paper develops a machine learning model to predict zoonotic potential of avian influenza viruses using genomic data, achieving high accuracy in distinguishing zoonotic from non-zoonotic strains.

This study shows that Culex pipiens molestus mosquitoes can transmit Usutu virus at 22°C, with higher viral loads and transmission rates compared to lower temperatures.

The paper tests if UK Culex pipiens molestus mosquitoes can transmit Oropouche virus, finding no evidence of infection in tested individuals.

This study analyzes global Culex blood-feeding data to show that feeding patterns vary between species and regions, influenced by external factors rather than phylogeny.

This paper identifies viral features and evolutionary signatures predictive of transmission routes and demonstrates high accuracy in predicting these routes for both known and newly emerged viruses.

This study assesses the vector competence of UK mosquitoes for the local Usutu virus strain at regional temperatures, finding several species capable of transmitting the virus.

This study examines genetic and microbial diversity of Culex tritaeniorhynchus across multiple continents, finding high genetic and microbial variation and evidence of Wolbachia and insect-specific viruses.

The paper predicts high-risk mammalian hosts for homologous recombination of coronaviruses, identifying over 40-fold more hosts with multiple subgenera than previously known.