Pathogen biogeography, the distribution of a disease within an area, can be studied using data-driven approaches in order to predict and prevent the spread of pathogens. In this article, Tim Sandle discusses the use of a machine learning model to predict infectious disease spread in a globalized world.
As we continue to further our understanding of the novel coronavirus, its epidemiological characteristics, associated risk factors and possible avenues for treatment, take a look at the top 10 most-read articles so far on COVID-19.
As the coronavirus surges across the globe, diagnostic testing comes into its own, as researchers unite to confront, delay and stop its spread. In the absence of either proven effective therapy or a vaccine, diagnostic testing becomes a valuable tool.
Upon investigating links between the risk of malaria in developing countries and the products demanded by consumers worldwide, researchers have estimated that a significant fraction of the malaria risk in deforestation hotspots is driven by the international trade of products.
A mouse study has revealed that obesity may be one factor explaining the significant amount of variation in the influenza virus each year, likely due to an impaired interferon defense response.
Discover the latest information on 2019-nCoV including the current knowledge on its transmissibility, origin and clinical features.
Scientists investigating increased scarlet fever cases have identified that a new dominant linage of Strep A with increased toxin production has emerged.
Research suggests that in the UK, new cases of tick-borne Lyme disease could be three-times higher than previous estimates, possibly exceeding 8000 cases in 2019.
The ECDC has reported that the burden of healthcare-associated infections is substantial and variability in microbiological testing suggests these infections could be managed better, according to research presented at ECCMID.
An international study has compared the number of antibiotic resistance genes in water treatment plants across European countries, discovering that this correlates with the number of resistant bacteria in patient samples and antibiotic consumption across the region.
