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.
This pilot study in a London paediatric emergency department suggests that implementing a molecular point-of-care test for Group A Streptococcus could significantly reduce unnecessary antibiotic prescribing and enable immediate clinical decision-making, despite a low infection prevalence during the study period.
This mathematical modelling study demonstrates that ethnic inequalities in respiratory virus transmission in England are driven by distinct demographic characteristics and social mixing patterns, which result in varying attack rates across ethnic groups that are further modulated by local population structures and pathogen infectiousness.
In a multi-country study of nearly 9,000 children aged 6–35 months with medically-attended diarrhea, respiratory tract infections occurred in 3.8% of participants during the subsequent three months, with the highest risk observed among those aged 12–23 months, those suffering from undernutrition, and those living in poor sanitation conditions.
A modeling analysis of ten high-burden Asian countries suggests that investing $12.7 billion over five years to scale up community-based screening using AI-enabled digital chest X-rays combined with molecular diagnostics could avert 9.8 million TB cases and 1.9 million deaths over a decade, with targeted approaches proving more cost-effective than untargeted mass screening.
This study characterizes a multi-site UK outbreak of blaNDM-positive Enterobacterales driven by the clonal expansion of *Klebsiella pneumoniae* ST101 and the horizontal spread of IncHI2/IncHI2A plasmids across multiple bacterial species, underscoring the critical need for linked surveillance systems to track infections across fragmented healthcare settings.
This study demonstrates that the combination of severe immunocompromise and prolonged SARS-CoV-2 shedding exceeding 21 days significantly accelerates the accumulation of random, genome-wide mutations within the host, highlighting the critical need for intensive antiviral strategies to limit shedding duration in this vulnerable population to mitigate the risk of novel variant emergence.
By analyzing longitudinal neutralising antibody data from over 1,600 unvaccinated, HIV-uninfected individuals in Malawi, this study reveals rapid antibody waning, significant regional and variant-specific differences in infection dynamics, and the prevalence of reinfections, highlighting the limitations of prior immunity and the critical need for vaccination and improved surveillance in sub-Saharan Africa.
This register-based cross-sectional study in South Benin reveals that metronidazole is the second most prescribed antibiotic in primary care, with its usage significantly higher in private facilities and strongly associated with digestive, genitourinary, and skin symptoms, while being less common for fever, respiratory issues, or malaria.
This paper presents a data-driven methodology to quantify the strength of symptom propagation in infectious diseases, demonstrating through synthetic and real-world COVID-19 data that secondary cases are 12–17% more likely to develop symptoms if their primary case is symptomatic, while confirming that these estimates remain robust against reporting biases and age-dependent factors.
A study of 457 children in Kilifi, Kenya, found that a predictive model combining a wide range of protein biomarkers and clinical data failed to accurately differentiate between bacterial and viral pneumonia, yielding an inadequate Area Under the Curve of 0.61.