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Here the authors report real-world evidence through a retrospective analysis of a multinational cohort of 1.8 M older adults showing that GLP1RAs and SGLT2 inhibitors carry lower risk for hyperkalemia than sulfonylureas. However, SGLT2 inhibitors increased risk of ketoacidosis. Findings support safety-conscious prescribing for older adults, who are often underrepresented in clinical trials.

This Review discusses global approaches to infectious disease analysis and modeling, focusing on federated methods and addressing long-standing challenges in data interoperability, equity and trust.

For this Viewpoint, Nature Reviews Immunology asked the presidents of 16 immunology societies from around the world to discuss how their society and its members responded to the COVID-19 pandemic. Their answers highlight the incredible contributions that immunologists around the globe have made following the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

A hybrid analogue–digital quantum simulator is used to demonstrate beyond-classical performance in benchmarking experiments and to study thermalization phenomena in an XY quantum magnet, including the breakdown of Kibble–Zurek scaling predictions and signatures of the Kosterlitz–Thouless phase transition.

Experimental measurements of high-order out-of-time-order correlators on a superconducting quantum processor show that these correlators remain highly sensitive to the quantum many-body dynamics in quantum computers at long timescales.

Typical quantum error correcting codes assign fixed roles to the underlying physical qubits. Now the performance benefits of alternative, dynamic error correction schemes have been demonstrated on a superconducting quantum processor.

Colour code on a superconducting qubit quantum processor is demonstrated, reporting above-breakeven performance and logical error scaling with increased code size by a factor of 1.56 moving from distance-3 to distance-5 code.

In a quantum simulation of a (2+1)D lattice gauge theory using a superconducting quantum processor, the dynamics of strings reveal the transition from deconfined to confined excitations as the effective electric field is increased.

Monkeypox virus genomic data from Nigeria and Cameroon, sampled between 2018 and 2023, indicate that the virus spread through repeated zoonoses in Cameroon, whereas in Nigeria, it spread mainly through human–human transmission, predominantly originating in Rivers State.

Ammonia-oxidising archaea (AOA) were only discovered a little over a decade ago and remain poorly characterized despite their ubiquity and importance for nitrogen cycling. Here, the authors define a taxonomy of AOA based on a resolved amoA phylogeny and describe emergent global patterns in AOA diversity.

White-tailed deer are an important reservoir of SARS-CoV-2 in the USA and continued monitoring of the virus in deer populations is needed. In this genomic epidemiology study from Ohio, the authors show that the virus has been introduced multiple times to deer from humans, and that it has evolved faster in deer.

Analysis of SARS-CoV-2 genomes from around the world show that following initial importation largely from India, Delta spread in England was driven first by inter-regional travel and then by local population mixing.

Frequent dispersal and short-lived local transmission clusters fuelled the 2013–2016 Ebola virus epidemic in Guinea, Liberia and Sierra Leone.

In this study, the authors provide a global overview of SARS-CoV-2 genome sequencing, and estimate the proportion of cases sequenced and time to genome upload. They identify disparities and highlight the need to strengthen surveillance in lower and middle income countries.

This study on respiratory syncytial virus (RSV) reveals global genomic gaps. Using INFORM-RSV data, it uncovers selection’s impact on RSVA and RSVB diversity. Analysing full genomes, it highlights non-neutral epidemic processes. The research emphasises air travel’s influence on global spread, underscoring the need for comprehensive RSV genomic surveillance.

Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted for influenza in previous years.

BEAST X advances Bayesian phylogenetic, phylogeographic and phylodynamic analysis by incorporating a broad range of complex models and leveraging advanced algorithms and techniques to boost statistical inference.

For archival pathogens, like pH1N1 Influenza A virus the causative agent of 1918/19 pandemic, only few whole genome sequences exist. Here, Patrono et al. provide one complete and two partial genomes from Germany and find variation in two sites in the nucleoprotein gene in pandemic samples compared to pre-pandemic samples, that are associated with resistance to host antiviral response, pointing at a possible viral adaptation to humans.

In many European countries, more than half of the SARS-CoV-2 lineages circulating in late summer 2020 resulted from new introductions, highlighting the threat of viral dissemination when restrictions are lifted.

Classical epidemiological approaches have been limited in their ability to formally test hypotheses. Here, Dellicour et al. illustrate how phylodynamic and phylogeographic analyses can be leveraged for hypothesis testing in molecular epidemiology using West Nile virus in North America as an example.

The 2009 H1N1 influenza pandemic exposed major gaps in our knowledge of the spatial ecology and evolution of swine influenza A viruses. Here Nelson et al. perform an extensive phylogenetic analysis of these viruses and show that the global trade of live swine strongly predicts their spatial dissemination.

Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.

The analysis of more than 9,000 haemagglutinin sequences of human seasonal influenza viruses over a 12-year time period shows that the global circulation patterns of A/H1N1 and B viruses are different from those of the well characterised A/H3N2 viruses; in particular the A/H1N1 and B viruses are shown to persist locally across several seasons and do not display the same degree of global movement as the H3N2 viruses.

This Perspective considers the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.

Truong Nguyen, Kant, Van den Broeck et al. report the SARS-CoV-2 lineages circulating in Finland in 2020. Phylogeographic analysis suggests that 42 independent SARS-CoV-2 introductions into Finland occurred, with a single introduction seeding one third of cases in the spring.

Understanding evolutionary relationships between species requires the generation of accurate phylogenetic trees. In this Review, Kapli, Yang and Telford discuss the principles, steps and computational tools for phylogenetic tree building. They describe the impact of burgeoning genomic datasets as well as the diverse sources of errors and how they can be mitigated.