Analysis methods for covariate-constrained cluster randomized trials with time-to-event outcomes.

Background: Cluster randomized trials, which often enroll a small number of clusters, can benefit from constrained randomization, selecting a final randomization scheme from a set of known, balanced randomizations. Previous literature has addressed the suitability of adjusting the analysis for the covariates that were balanced in the design phase when the outcome is continuous or binary. Here we extended this work to time-to-event outcomes by comparing two model-based tests and a newly derived permutation test.

Sharing of alleles between and associated with extensive drug resistance in isolates from infants and poultry in the Peruvian Amazon.

is a serious health threat because of the rapid progressive evolution of antimicrobial resistance and efficient transmission from zoonotic as well as human sources. Resistance to fluoroquinolones and macrolides is particularly concerning as this compromises the two most effective oral antibiotic agents currently available for human campylobacteriosis. Here, we report on the prevalence and worldwide distribution of the operon , which encodes an efflux pump conferring high levels of combined resistance to fluoroquinolones and macrolides in strains isolated from poultry ( = 75) and children ( = 177).

A systematic review of using population-level human mobility data to understand SARS-CoV-2 transmission.

The emergence of SARS-CoV-2 into a highly susceptible global population was primarily driven by human mobility-induced introduction events. Especially in the early stages, understanding mobility was vital to mitigating the pandemic prior to widespread vaccine availability. We conducted a systematic review of studies published from January 1, 2020, to May 9, 2021, that used population-level human mobility data to understand SARS-CoV-2 transmission.

COVID-19 lineages in a minimally vaccinated island population: Genomic epidemiology of SARS-CoV-2 in Haiti.

We monitored SARS-CoV-2 variants in Haiti from 2020-2023. Despite Haitian COVID-19 travel restrictions and in the setting of a vaccination rate of 2.7%, the timing and lineage evolution of the Haiti epidemic mirrored what was occurring in the rest of the world.

Machine learning to attribute the source of Campylobacter infections in the United States: A retrospective analysis of national surveillance data.

Objectives: Integrating pathogen genomic surveillance with bioinformatics can enhance public health responses by identifying risk and guiding interventions. This study focusses on the two predominant Campylobacter species, which are commonly found in the gut of birds and mammals and often infect humans via contaminated food. Rising incidence and antimicrobial resistance (AMR) are a global concern, and there is an urgent need to quantify the main routes to human infection.