Francesco Branda

Global Genomic Surveillance.

Molecular Pathogenesis, Global Epidemiological Trends, and Treatment Strategies for Pteropine Orthoreoviruses: A Narrative Review.

Pteropine orthoreoviruses are emerging bat-borne zoonotic viruses of the genus Orthoreovirus (family Reoviridae), increasingly recognized as causes of acute respiratory disease in humans. Originally grouped with the largely non-pathogenic mammalian orthoreoviruses, they have challenged that view through their associati...

Deep Learning-Based Malaria Parasite Image Classification on Real Microscopy Data

Background: Accurate and timely malaria diagnosis with species-level identification of Plasmodium parasites is critical for guiding effective treatment and disease management. Although light microscopy remains the diagnostic gold standard, its dependence on highly trained personnel limits accessibility, particularly in...

Genetic Variability and Evolutionary Dynamics of A(H1N1)pdm09 in Italy Before, During, and After the COVID-19 Pandemic

Influenza A(H1N1)pdm09 remains one of the predominant seasonal influenza viruses worldwide and continues to evolve under the combined effects of host immunity, vaccination, and changing epidemiological conditions. However, the long-term impact of the COVID-19 pandemic on its evolutionary dynamics remains poorly underst...

Advances in therapeutics and vaccines for Marburg virus disease: challenges and future directions.

INTRODUCTION Marburg virus disease (MVD) is a highly lethal filovirus infection with case fatality rates of up to 88%. Although no virus-specific interventions have yet been approved, recent laboratory breakthroughs have markedly accelerated translational progress in vaccine and therapeutic development. AREAS COVERED...

Comparing Mpox epidemic controls through simulations and explainable graph convolution networks: A case study in the Republic of the Congo and Nigeria

The study supports the potential usefulness of combining contact-based models with explainable graph neural networks for scenario-based epidemic analysis and suggests that the k-GCN model captures relevant temporal and structural dependencies in the simulated graph-organized data.