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
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Meteorological conditions and air pollution.
- Who it may be relevant to
- Registry conditions: Fig. Impetuous. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Characterization of the Spatial Distribution and Drivers of the Association of Meteorological Factors and Air Pollution with the Number of First Aiders
Overview
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.
Interventions
- Other Meteorological conditions and air pollution
Climate change e.g. global surface temperature rise; extreme weather events e.g. heat waves, floods
Primary outcome measures
- Number of first aiders per hour as assessed by R4.4.0 [Time frame: 6 months]
- Vulnerable population characteristics as assessed by R4.4.0 [Time frame: 6 Months]
- Types of Sensitive Diseases as assessed by R4.4.0 [Time frame: 6 Month]
- High-risk areas as assessed by R4.4.0 [Time frame: 6 months]
Eligibility criteria
Inclusion criteria
-Emergency data of Zhejiang Emergency Command Center in the past 5 years
Exclusion criteria
- Prehospital emergency information from non-Zhejiang province domains
- Emergency calls due to labor and delivery.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
China · 1 center
- Zhejiang Provincial People's Hospital — Hangzhou
Publications
- Cui Y, Ai S, Liu Y, Qian ZM, Wang C, Sun J, Sun X, Zhang S, Syberg KM, Howard S, Qin L, Lin H. Hourly associations between ambient temperature and emergency ambulance calls in one central Chinese city: Call for an immediate emergency plan. Sci Total Environ. 2020 Apr 1;711:135046. doi: 10.1016/j.scitotenv.2019.135046. Epub 2019 Nov 3. PMID 31812379
- Bobb JF, Peng RD, Bell ML, Dominici F. Heat-related mortality and adaptation to heat in the United States. Environ Health Perspect. 2014 Aug;122(8):811-6. doi: 10.1289/ehp.1307392. Epub 2014 Apr 29. PMID 24780880
- Phosri A, Ueda K, Seposo X, Honda A, Takano H. Effect modification by temperature on the association between O3 and emergency ambulance dispatches in Japan: A multi-city study. Sci Total Environ. 2023 Feb 25;861:160725. doi: 10.1016/j.scitotenv.2022.160725. Epub 2022 Dec 6. PMID 36493818
- Wang X, Leng M, Liu Y, Qian ZM, Zhang J, Li Z, Sun L, Qin L, Wang C, Howard SW, Vaughn MG, Yan Y, Lin H. Different sized particles associated with all-cause and cause-specific emergency ambulance calls: A multicity time-series analysis in China. Sci Total Environ. 2021 Aug 20;783:147060. doi: 10.1016/j.scitotenv.2021.147060. Epub 2021 Apr 18. PMID 34088160
- Michikawa T, Sasaki J, Yamazaki S, Takami A, Asakura K, Imamura H, Ueda K, Saito S, Hoshi J, Yoshino A, Sugata S, Nitta H, Nishiwaki Y. A Case-Crossover Analysis of the Association between Exposure to Total PM2.5 and Its Chemical Components and Emergency Ambulance Dispatches in Tokyo. Environ Sci Technol. 2022 Jun 7;56(11):7319-7327. doi: 10.1021/acs.est.1c08219. Epub 2022 May 24. PMID 35608996
- Dawson LP, Andrew E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Guo Y, Smith K, Stub D. Temperature-related chest pain presentations and future projections with climate change. Sci Total Environ. 2022 Nov 20;848:157716. doi: 10.1016/j.scitotenv.2022.157716. Epub 2022 Jul 29. PMID 35914598
- Sangkharat K, Mahmood MA, Thornes JE, Fisher PA, Pope FD. Impact of extreme temperatures on ambulance dispatches in London, UK. Environ Res. 2020 Mar;182:109100. doi: 10.1016/j.envres.2019.109100. Epub 2020 Jan 3. PMID 31918315
- Chen R, Yin P, Wang L, Liu C, Niu Y, Wang W, Jiang Y, Liu Y, Liu J, Qi J, You J, Kan H, Zhou M. Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities. BMJ. 2018 Oct 31;363:k4306. doi: 10.1136/bmj.k4306. PMID 30381293
Identifiers
NCT: NCT06798987 · QT202146