Focal Interest
Focal Interest

COVID-19 epidemiological studies

External reference: https://openalex.org/T10410

  1. Rohingya refugees showed strong natural immunity and fading vaccine immunity
    Study of antibody durability following SARS-CoV-2 infection and vaccination among Rohingya refugees in Bangladesh, with implications for vaccination strategy in humanitarian settings.
  2. District-level dengue predictions improved with climate and health data
    Hybrid explainable AI and Bayesian deep learning system predicts dengue outbreaks at district level in Bangladesh using climate, socioeconomic, and healthcare data from 2017-2024.
  3. Protocol compares two systems for Belgian ILI surveillance
    Protocol for evaluating code-based versus questionnaire-based influenza-like illness surveillance systems in Belgian general practices using CDC guidelines and multi-criteria decision analysis.
  4. Media-linked fear spread rises with loss of awareness
    Mathematical model analyzing epidemic fear propagation dynamics incorporating psychological compartments, media influence, and interpersonal contact under COVID-19 parameterization.
  5. Big Data and Machine Learning Applications for Enhanced U.S. Infectious Disease Surveillance and Control: A Narrative Review
    Review synthesizes big data and machine learning integration in U.S. infectious disease surveillance, examining data sources and computational methods for detection, forecasting, and control.
  6. Survey reviews mathematical modeling of infectious disease dynamics
    Mathematical modeling frameworks for infectious disease dynamics integrate computational methods, network analysis, and machine learning to forecast epidemics and optimize public health interventions.
  7. Data-driven tools strengthen public health disease control
    Explore how statistical methods and AI transform U.S. public health disease control through predictive analytics, resource optimization, and data integration while addressing privacy and.