Tag: Disease Surveillance & Epidemiology
The prevalence of dental caries in the first permanent molars among individuals aged 6–18 years: a systematic review and meta-analysis of studies from Asia, Europe, Africa, and Latin America
Global patterns of tooth decay in young people across four continents
Limited contribution of compensatory mutations to MDR/RR-TB clustering in Hunan Province, China: a population-based whole-genome sequencing study
Compensatory mutations play a minor role in spreading drug-resistant tuberculosis
District-Level Dengue Early Warning Prediction System in Bangladesh Using Hybrid Explainable AI and Bayesian Deep Learning
Predicting dengue outbreaks across Bangladesh districts using climate and socioeconomic data
Image Credit: AI-generated image (OpenAI / DALL·E)Antibiotic use and gut microbiome composition links from individual-level prescription data of 14,979 individuals
Antibiotics alter gut bacteria composition for years after exposure
How to ensure effective and sustainable ILI surveillance in Belgian general practices? : protocol
Designing automated illness tracking for Belgian doctor offices
Analysis of a New Mathematical Model for Epidemic Fear Propagation Under Media Influence
How media coverage spreads fear during epidemics and its impact on public psychology
Nationwide seroprevalence of Mycobacterium bovis and Mycobacterium avium in domestic sows and wild boars in Korea under a one health framework
Tracking tuberculosis and related infections in Korean pig populations across farms and wildlife.
Image Credit: AI-generated image (OpenAI / DALL·E)Data-driven model analysis of the impact of environmental and socioeconomic factors on tuberculosis incidence
Environmental and economic conditions drive tuberculosis rates in Taiwan
Big Data and Machine Learning Applications for Enhanced U.S. Infectious Disease Surveillance and Control: A Narrative Review
How artificial intelligence and large datasets are making disease tracking faster and more accurate
Survey on mathematical modeling of infectious disease dynamics: insights and applications
How math helps predict outbreaks and evaluate disease control strategies
