A new and throughly validated method for timely estimation of the effective reproductive number of SARS-CoV-2 aided in the public health response to the COVID-19 pandemic.

Application of hierarchical machine learning to the geographical source attribution of Salmonella enteritidis indicates high utility for the rapid translation of raw pathogen genome sequencing data into accurate and actionable information for disease management in public health.

An analysis of the largest Salmonella Typhi genome collection to date (n=13,000) provides an updated overview of global genome diversity and antimicrobial resistance trends over time to inform public health action.

During adaptation in dogs, H3N2 canine influenza viruses (CIVs) became to recognize human-like SAα2,6-Gal receptor, increased replication ability in human cells, acquired a 100% transmission rate via respiratory droplet in ferret model, and human population lacked immunity to H3N2 CIVs.

There was substantial change in primary care activity following the onset of the COVID-19 pandemic in March 2019 as indicated by key measures reflective of clinical activity in general practice but service was largely restored by April 2021.

Analysing a compilation of individual-level data gathered across the seven Ebola Virus Disease outbreaks in the Democratic Republic of the Congo reveals factors that contribute to the spread of the disease and mortality.

An ento-epidemiological model reveals that what made the Zika virus a public health problem in Feira de Santana, Brazil, was a surprisingly high attack rate coupled with a low risk of Microcephaly per challenged pregnancy.

The overall mortality consequences of the COVID-19 pandemic in the United States are predominantly attributable to the direct impact of SARS-CoV-2 infection but there are substantial indirect effects among children and young adults, and in mortality from accidents, homicides, and overdoses.