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Article . 2020
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Geographical Epidemiology of Cardiovascular Diseases in Zanjan Province: Analysis of Groups from the International Classification of Diseases, 10th Revision

Authors: Jalilvand, Ahmad; Soleimani, Roghayeh; Soleimani, Mohsen;

Geographical Epidemiology of Cardiovascular Diseases in Zanjan Province: Analysis of Groups from the International Classification of Diseases, 10th Revision

Abstract

Background and Objective: Cardiovascular diseases (CVDs) are the most common chronic diseases and the leading cause of death in the world and in Iran. The aim of this study was to explore the geographical epidemiology of CVDs in the province of Zanjan, Iran. Materials and Methods: This cross-sectional study was carried out at Zanjan University of Medical Sciences. Patients with adischarge diagnosis of CVDs (I00-I99 group of ICD-10 codes) who were hospitalized from 2012-2019 were selected as a study sample. All spatial analyses were performed in ArcGIS 10.7, and descriptive analysis was conducted by R (v3.6.0) and RStudio (v1.2.1335) software. Results: The ischemic heart disease subgroup accounted for the majority of CVD cases (43.8%), while acute rheumatic fever (0.03%) was the least common contributor to CVD. Men had a higher rate of CVD (53.1%) than women (46.9%). The mean age of all CVD subgroups was 56.88 years, and the mean length of stay of all CVD subgroups was 114.2 hours. Zanjan city (57.4%) had the greatest incidence rate of CVDs in Zanjan province, Iran. Conclusion: Geographical epidemiology studies can identify the pattern of CVD distribution in different areas and can be helpful in preventing CVDs. A spatial-temporal pattern of CVD distribution provides crucial information for health development planning in Iran. The findings of this study provide useful information for health authorities in Zanjan, Iran, to plan CVD prevention programs.

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Keywords

Cardiovascular Diseases, Epidemiology, International classification of diseases, Geographic information systems

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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