José Lourenço

This paper uses disaggregation regression to predict dengue incidence in Africa from aggregated data, showing better alignment with reported cases than environmental suitability models.

The paper shows that epitopes of limited variability on the head of H1 haemagglutinin are determined by the number of variable residues in their footprint, not intrinsic entropy.

EPINEST simulates epidemic dynamics in poultry production networks to study pathogen transmission and health hazards.

The paper analyzes M. bovis transmission dynamics in Portugal using genomic and ecological data, revealing an unrecognised ecological corridor for disease spread between livestock and wildlife.

This study uses random forest analysis to identify amino acid sites in HBV genome that predict genotype, finding 10 key sites across four genes with implications for HBV evolution and spacer domain function.

The paper uses genomic data to analyze how national and international restrictions affected SARS-CoV-2 transmission in Brazil and Paraguay, showing the spread of variants and the role of importation.

The paper reports genetic evidence of West Nile virus circulation in horses and a human case in Brazil, highlighting the need for active surveillance.

This study identifies 43 genes associated with invasive pneumococcal disease using whole genome sequence data and a random forest machine-learning algorithm across three geographically distinct datasets.