166 papers
Infectious diseases represent one of the most dynamic frontiers in global health, covering everything from seasonal flu outbreaks to emerging viral threats that cross borders. This field focuses on how pathogens spread, how our immune systems respond, and the strategies scientists use to stop infections before they become epidemics. Because the science moves fast, waiting for traditional publication often means missing critical insights that could save lives.
At Gist.Science, we process every new preprint in this category directly from medRxiv to ensure you see the latest findings the moment they appear. Our team transforms these raw studies into both accessible plain-language explanations and detailed technical summaries, bridging the gap between complex research and public understanding. Below are the latest papers in infectious diseases, updated daily with fresh insights from the global research community.
A 2024 mixed-methods study in southern Mozambique reveals that 77% of adults and adolescents are willing to receive a new tuberculosis vaccine, with adolescents showing significantly higher willingness than adults and overall uptake likely to be high if the vaccine is endorsed by trusted authorities.
This paper argues that the conventional threshold for epidemic stability is often misleading due to population heterogeneity and proposes the alternative statistic as a more robust and meaningful real-time indicator for distinguishing between epidemic growth and control.
This study identifies specific *Klebsiella pneumoniae* proteins that elicit protective antibody responses in mothers and neonates, supporting the further development of a maternally administered protein-based vaccine to prevent neonatal sepsis in sub-Saharan Africa.
This study demonstrates that by analyzing routine surveillance data from the 2022-2023 cholera outbreak in Malawi using an EpiEstim framework adjusted for WASH interventions, researchers successfully estimated that oral cholera vaccination contributed to a substantial reduction in transmission, achieving an adjusted effectiveness of approximately 62%.
This multicentric observational study of 1,454 adults with bone and joint infections reveals that *Streptococcus agalactiae* is the predominant streptococcal species involved, accounting for 29% of cases and being specifically associated with risk factors such as arteriopathy, obesity, and diabetes, as well as a higher prevalence of chronic lower-limb and diabetic foot infections.
This genomic epidemiology study of meat from independent Welsh butchers reveals that antibiotic-resistant *E. coli* on beef and lamb primarily originates from faecal contamination at slaughter, with minimal evidence of direct zoonotic transmission to humans causing extraintestinal infections in the region.
This single-center retrospective study in Jamaica found that acute kidney injury affects 25.8% of adults and children hospitalized with dengue infection, with higher incidence in adults and associations linked to older age, male sex, elevated bilirubin, and neutrophil-to-lymphocyte ratio, highlighting the need for improved early recognition and vector control.
This phase 1 clinical trial demonstrates that controlled human challenge with dengue virus reveals how pre-existing antibody profiles, particularly those targeting non-structural protein 1, dictate infection outcomes by either driving pathogenic enhancement or enabling sterilizing immunity through balanced, enduring T and B cell responses.
This study utilizes a mathematical model fitted to Kenyan and Nigerian data to demonstrate that sub-optimum malaria treatment significantly amplifies asymptomatic transmission and disease burden, whereas shifting to optimum treatment could avert over one-third of infections and deaths while saving approximately $12 million annually.
This systematic review and meta-analysis of 39 studies found that while the BD Phoenix, Vitek 2, and MicroScan automated antimicrobial susceptibility testing systems generally demonstrate comparable overall performance, the Vitek 2 system exhibits a significantly higher rate of very major errors compared to MicroScan, with error patterns varying by organism type and susceptibility criteria.