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The study of the incidence and spread of infectious diseases in populations over time. Host, pathogen and environmental factors are monitored to determine the dynamics of infection, the ultimate goal of which is to devise intervention strategies. Molecular methods, such as phylogenomics, can be used to accurately track pathogens.
Brucellosis is a zoonotic disease with high prevalence in the Middle East. Here the authors identify camels as an important source of brucellosis among livestock-owning households in Jordan, due to widespread consumption of raw camel milk.
Valik et al. incorporate genomic biomarkers from Pseudomonas aeruginosa isolates and clinical data into machine-learning models to predict the severity of bloodstream infection. Bacterial virulence markers identified through whole genome sequencing offer prognostic insights that could inform treatment strategies in sepsis management.
Salmonella is a significant cause of gastrointestinal infection and asymptomatic carriage can contribute to transmission. Here, the authors investigate the prevalence of asymptomatic carriage of Salmonella in Yulin, China through occupational health screening and find that carriage was higher in food workers.
This study finds that a deadly skin disease in red squirrels is associated with a staphylococcal clone often acquired through spillover from other hosts.
A recent study reports that anthropogenic land use causes major changes in the diversity and taxonomic composition of reservoir hosts for pathogens, with implications for the emergence of zoonotic diseases.
Epidemiological modelling informs government responses to the COVID-19 pandemic, but confusion abounds about the models. What can physicists do to help?