Background Computer simulation models are used increasingly to support public health
research and policy, but questions about their quality persist. The purpose of this article is to …

Background The global surge in the omicron (B.1.1.529) variant has resulted in many
individuals with hybrid immunity (immunity developed through a combination of SARS-CoV-2 …

Syndromic surveillance refers to methods relying on detection of individual and population
health indicators that are discernible before confirmed diagnoses are made. In particular, …

Background: Given the threat of bioterrorism and the increasing availability of electronic data
for surveillance, surveillance systems for the early detection of illnesses and syndromes …

As the initial phase of the COVID-19 pandemic passes its peak in many countries, serological
studies are becoming increasingly important in guiding public health responses. Antibody …

Surveillance is critical for improving population health. Public health surveillance systems
generate information that drives action, and the data must be of sufficient quality and with a …

The threat of bioterrorism has stimulated interest in enhancing public health surveillance to
detect disease outbreaks more rapidly than is currently possible. To advance research on …

Public health agencies and other groups have invested considerable resources in automated
surveillance systems over the last decade. These systems generally follow syndromes in …

Background Our understanding of the global scale of Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2) infection remains incomplete: Routine surveillance data …

ContextPoor patient-physician communication increases the risk of patient complaints and
malpractice claims. To address this problem, licensure assessment has been reformed in …