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Severe pediatric malaria remains a concern in many countries. Here, the authors use an individual-based modeling approach to evaluate the relationship between malaria prevalence and incidence of malaria pediatric hospitalizations, and show how unsteady transmission patterns affect hospitalization rates.
This study presents a machine learning model that accurately predicts seasonal antigenic changes of influenza A H3N2 using genetic data. The model’s predictions can aid influenza surveillance, vaccine strain selection, and public health management.
Carolina Rosadas explains why we need more research investigating human T lymphotropic virus type 1 (HTLV-1) infections, and why more public visibility is needed for those affected.
This Comment article highlights the progress that has been made over the past 40 years since the discovery of HIV, and discusses the commitment needed to end the HIV/AIDS epidemic and the ongoing challenges.
Whole-genome sequencing of Clostridioides difficile from a densely sampled intensive care unit (ICU) population showed that many of these patients harbor toxigenic C. difficile. This carriage did not lead to high levels of cross-transmission but was associated with a greatly increased risk of developing clinically overt C. difficile infection.
This Genome Watch highlights how the integration of genomic surveillance with epidemiological or clinical data can help understand pathogen transmission and improve public health interventions for infectious disease control.
The human microbiome has a crucial role in global health, with implications for achieving the Sustainable Development Goals (SDGs). Understanding and harnessing the potential of the microbiome, while recognizing its link to the global ecosystem, can drive innovative strategies for improved public health, and promote sustainable development.