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

NCT06798987 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 1500000

Last updated 2025-01-29

No results posted yet for this 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.

Conditions

  • Fig. Impetuous

Interventions

OTHER

Meteorological conditions and air pollution

Climate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods

Sponsors & Collaborators

  • Li hengjie

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-01
Primary Completion
2024-12-31
Completion
2025-03-01

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06798987 on ClinicalTrials.gov