Long-Term Asthma Trend Monitoring in New York City: A Mixed Model Approach

Long-Term Asthma Trend Monitoring in New York City: A Mixed Model Approach

Introduction Over the last decade, the application of syndromic surveillance systems has expanded beyond early event detection to include longterm disease trend monitoring. However, statistical methods employed for analyzing syndromic data tend to focus on early event detection. Generalized linear mixed models (GLMMs) may be a useful statistical framework for examining long-term disease trends ...

Providing a Comprehensive Model of Promoting the Monitoring System in Sports Organizations with a Mixed Approach

Purpose: This research was conducted to develop a comprehensive model for improving the supervision system in sports organizations of the country. Methodology: In terms of purpose, the research was applied and developmental, and in terms of the method of data collection, it was a mixed type of sequential exploratory design. In the qualitative phase of the research, semi-structured interviews w...

Urban asthma and the neighbourhood environment in New York City.

Asthma is now the leading cause of emergency room visits, hospitalizations, and missed school days in New York City's poorest neighbourhoods. While most research focuses on the influence of the indoor environment on asthma, this study examines the neighbourhood effects on childhood asthma, such as housing and ambient environmental hazards. Using Geographic Information Science (GI Science) we id...

Long-term Recovery From Hurricane Sandy: Evidence From a Survey in New York City.

OBJECTIVES This study aimed to examine a range of factors influencing the long-term recovery of New York City residents affected by Hurricane Sandy. METHODS In a series of logistic regressions, we analyzed data from a survey of New York City residents to assess self-reported recovery status from Hurricane Sandy. RESULTS General health, displacement from home, and household income had substa...

Diabetes in New York City.