Based on the Data from the Zhejiang Emergency Center, Explore the Independent and Interactive Effects of the Association Between Meteorological Factors and Air Pollution and the Number of Emergency Personnel, Identify the Relevant Vulnerable Population Characteristics, Sensitive Disease Types

Condition(s) studied

Investigational drug(s) / intervention(s)

Meteorological conditions and air pollution: Climate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods

Study summary

Based on the health data from Zhejiang Emergency Command Center, combined with meteorological, air pollution, land use and socio-economic data of Zhejiang Province, distributional lag nonlinear models, grouped weighted quantile and regression and Bayesian spatial models were used to explore the independent and interactive effects of the association between meteorological factors and air pollution and the number of first-aiders, to identify the related characteristics of the vulnerable populations, the types of sensitive diseases and the high-risk areas, and to elucidate the driving factors of the association between meteorological factors and air pollution and the number of first-aiders. It also clarifies the drivers of the association between meteorological factors and air pollution and the number of emergencies, so as to provide a reference for the government to take targeted measures to reduce the burden of related healthcare services.

Eligibility

Primary outcome measure(s)

• Number of first aiders per hour as assessed by R4.4.0 — 6 months
• Vulnerable population characteristics as assessed by R4.4.0 — 6 Months
• Types of Sensitive Diseases as assessed by R4.4.0 — 6 Month
• High-risk areas as assessed by R4.4.0 — 6 months

Trial sites (1)