⚡ Quick Summary
A comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, was created, encompassing over 52,000 cases from 2016 to 2020. This dataset integrates key environmental factors, supporting advanced modeling techniques to identify high-risk areas for public health interventions. 🌍
🔍 Key Details
- 📊 Dataset: 52,176 confirmed CVD cases
- 🧩 Features used: Demographics, environmental factors, socio-economic variables
- ⚙️ Technology: Advanced spatiotemporal modeling, AI, and machine learning
- 🏥 Study period: January 1, 2016 – December 31, 2020
🔑 Key Takeaways
- 📊 Comprehensive dataset includes demographic details like age and gender.
- 💡 54.44% of hospitalized patients were male, with a median age of 64 years.
- ⚠️ Mortality rate during hospitalization was 9.41%.
- 🌱 Environmental factors include air quality indicators and green spaces.
- 🏙️ Socio-economic variables such as population density and unemployment rates were analyzed.
- 🤖 Machine learning techniques can predict high-risk CVD areas.
- 🌍 Study conducted in Mashhad, Iran, highlighting regional health challenges.
📚 Background
Cardiovascular disease remains a leading cause of morbidity and mortality worldwide. Understanding the interplay between environmental factors and CVD hospitalizations is crucial for developing effective public health strategies. This study aims to provide a detailed view of CVD in Mashhad, Iran, by integrating hospitalization data with environmental and socio-economic indicators.
🗒️ Study
The research team collected data on CVD hospitalizations in Mashhad over a five-year period, focusing on over 52,000 patients. The dataset includes demographic information, clinical outcomes, and environmental factors such as air quality and urban density. This comprehensive approach allows for a nuanced understanding of the factors contributing to cardiovascular health in the region.
📈 Results
The analysis revealed that the median age of hospitalized CVD patients was 64 years, with a significant proportion being male. The study also highlighted a concerning 9.41% mortality rate during hospitalization. By integrating environmental data, the research supports the use of machine learning to identify high-risk areas, paving the way for targeted public health interventions.
🌍 Impact and Implications
This geodatabase serves as a vital resource for public health officials and researchers, enabling them to identify and address the environmental and socio-economic factors contributing to CVD. The findings underscore the importance of integrating advanced modeling techniques in public health strategies, potentially leading to improved health outcomes in Mashhad and similar urban settings. 🌱
🔮 Conclusion
The creation of this comprehensive geodatabase marks a significant step forward in understanding cardiovascular health in Mashhad, Iran. By leveraging spatiotemporal modeling and machine learning, we can better predict and manage CVD risks, ultimately enhancing public health interventions. Continued research in this area is essential for developing effective strategies to combat cardiovascular disease globally.
💬 Your comments
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Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran.
Abstract
OBJECTIVES: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.
DATA DESCRIPTION: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020. It contains 52,176 confirmed CVD cases and includes demographic information such as age, gender, admission date, ICD-10 codes, occurrence of death, and length of hospital stay. The median age of patients was 64 years, with 54.44% male. A notable 9.41% of patients died during hospitalization. In addition to the CVD hospitalization case file and its shape file created by joining with 1301 census tracts, this dataset includes environmental factors such as air quality indicators (SO2, PM2.5, CO, etc.). It also incorporates socio-economic variables (population density, illiteracy, and unemployment rates), public infrastructure, and built environment data, providing a comprehensive view of cardiovascular health in Mashhad.
Author: [‘MohammadEbrahimi S’, ‘Dehghan M’, ‘Kiani B’]
Journal: BMC Res Notes
Citation: MohammadEbrahimi S, et al. Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran. Cardiovascular health in perspective: a comprehensive five-year geodatabase of hospitalizations and environmental factors in Mashhad, Iran. 2025; 18:12. doi: 10.1186/s13104-025-07087-5