A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note
Abstract Objectives Respiratory tract diseases (RTDs) are among the top five leading causes of death worldwide. Mortality rates due to respiratory tract diseases (MRRTDs) follow a spatial pattern and this may suggest a potential link between environmental risk factors and MRRTDs. Spatial analysis of...
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doaj-4f2b1f8a0c494b79a9dce41ff5ef6cce2020-11-25T03:36:40ZengBMCBMC Research Notes1756-05002020-10-011311310.1186/s13104-020-05319-4A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data noteElahe Pishgar0Alireza Mohammadi1Nasser Bagheri2Behzad Kiani3Department of Human Geography and Logistics, Faculty of Earth Science, Shahid Beheshti UniversityDepartment of Geography & Planning, Faculty of Social Sciences, University of Mohaghegh ArdabiliVisualization and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National UniversityDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical SciencesAbstract Objectives Respiratory tract diseases (RTDs) are among the top five leading causes of death worldwide. Mortality rates due to respiratory tract diseases (MRRTDs) follow a spatial pattern and this may suggest a potential link between environmental risk factors and MRRTDs. Spatial analysis of RTDs mortality data in an urban setting can provide new knowledge on spatial variation of potential risk factors for RTDs. This will enable health professionals and urban planners to design tailored interventions. We aim to release the datasets of MRRTDs in the city of Tehran, Iran, between 2008 and 2018. Data description The Research data include four datasets; (a) mortality dataset which includes records of deaths and their attributes (age, gender, date of death and district name where death occurred), (b) population data for 22 districts (age groups with 5 years interval and gender by each district). Furthermore, two spatial datasets about the city are introduced; (c) the digital boundaries of districts and (d) urban suburbs of Tehran.http://link.springer.com/article/10.1186/s13104-020-05319-4Respiratory tract diseasesMortalitySpace–time analysisClusteringGeographical information systemsTehran |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elahe Pishgar Alireza Mohammadi Nasser Bagheri Behzad Kiani |
spellingShingle |
Elahe Pishgar Alireza Mohammadi Nasser Bagheri Behzad Kiani A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note BMC Research Notes Respiratory tract diseases Mortality Space–time analysis Clustering Geographical information systems Tehran |
author_facet |
Elahe Pishgar Alireza Mohammadi Nasser Bagheri Behzad Kiani |
author_sort |
Elahe Pishgar |
title |
A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note |
title_short |
A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note |
title_full |
A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note |
title_fullStr |
A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note |
title_full_unstemmed |
A spatio-temporal geodatabase of mortalities due to respiratory tract diseases in Tehran, Iran between 2008 and 2018: a data note |
title_sort |
spatio-temporal geodatabase of mortalities due to respiratory tract diseases in tehran, iran between 2008 and 2018: a data note |
publisher |
BMC |
series |
BMC Research Notes |
issn |
1756-0500 |
publishDate |
2020-10-01 |
description |
Abstract Objectives Respiratory tract diseases (RTDs) are among the top five leading causes of death worldwide. Mortality rates due to respiratory tract diseases (MRRTDs) follow a spatial pattern and this may suggest a potential link between environmental risk factors and MRRTDs. Spatial analysis of RTDs mortality data in an urban setting can provide new knowledge on spatial variation of potential risk factors for RTDs. This will enable health professionals and urban planners to design tailored interventions. We aim to release the datasets of MRRTDs in the city of Tehran, Iran, between 2008 and 2018. Data description The Research data include four datasets; (a) mortality dataset which includes records of deaths and their attributes (age, gender, date of death and district name where death occurred), (b) population data for 22 districts (age groups with 5 years interval and gender by each district). Furthermore, two spatial datasets about the city are introduced; (c) the digital boundaries of districts and (d) urban suburbs of Tehran. |
topic |
Respiratory tract diseases Mortality Space–time analysis Clustering Geographical information systems Tehran |
url |
http://link.springer.com/article/10.1186/s13104-020-05319-4 |
work_keys_str_mv |
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