Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study

Abstract Background and Aims Geography plays an important role in the incidence of respiratory diseases. The aim of this study was to investigate the epidemiology and geographical distribution of death due to noninfectious lower respiratory diseases (NILRDs). Methods Data related to all death due to...

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Main Authors: Parastoo Amiri, Soheil Hashtarkhani, Ashraf Yazdizadeh, Leila Ahmadian
Format: Article
Language:English
Published: Wiley 2022-11-01
Series:Health Science Reports
Subjects:
Online Access:https://doi.org/10.1002/hsr2.875
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author Parastoo Amiri
Soheil Hashtarkhani
Ashraf Yazdizadeh
Leila Ahmadian
author_facet Parastoo Amiri
Soheil Hashtarkhani
Ashraf Yazdizadeh
Leila Ahmadian
author_sort Parastoo Amiri
collection DOAJ
description Abstract Background and Aims Geography plays an important role in the incidence of respiratory diseases. The aim of this study was to investigate the epidemiology and geographical distribution of death due to noninfectious lower respiratory diseases (NILRDs). Methods Data related to all death due to NILRD in Kerman Province between 2012 and 2018 were extracted from the National Mortality Registry. The underlying causes of death were extracted from the registry based on the assigned codes from ICD‐10 (International Classification of Diseases 10th Revision) classification. The existence of spatial clusters and outliers was evaluated using local indicators of spatial association statistics. Results The frequency of death due to NILRD was 8005 persons during the 7 years of the study. The main cause of death was chronic lower respiratory disease (54.2%). Other causes of death were, respectively, lung diseases due to external agents (1.09%), other respiratory diseases mainly affecting the interstitium (1.16%), other diseases of pleura (0.57%), and other diseases of the respiratory system (42.13%). The age‐ and sex‐adjusted mortality rates due to NILRD in the north and center of the province increased significantly from 2012 to 2018. Also, the results of cluster analysis identified northern regions as the clustered areas of NILRD. Conclusions Our findings showed a significant increase in mortality due to NILRD in Kerman Province during the 7 years of the study. To reduce this type of death, health policymakers should have environmental health plans and basic solutions, such as a warning system to reduce the commuting on highly air‐polluted days and to control pollutants, especially in the industrial areas of the north of this province.
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spelling doaj.art-fa66c11082a449cf89b7ffc89559ede62023-07-26T04:31:47ZengWileyHealth Science Reports2398-88352022-11-0156n/an/a10.1002/hsr2.875Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional studyParastoo Amiri0Soheil Hashtarkhani1Ashraf Yazdizadeh2Leila Ahmadian3Student Research Committee Kerman University of Medical Sciences Kerman IranDepartment of Medical Informatics, Faculty of Medicine Mashhad University of Medical Sciences Mashhad IranDeputy of Health Kerman University of Medical Sciences Kerman IranDepartment of Health Information Sciences, Faculty of Management and Medical Information Sciences Kerman University of Medical Sciences Kerman IranAbstract Background and Aims Geography plays an important role in the incidence of respiratory diseases. The aim of this study was to investigate the epidemiology and geographical distribution of death due to noninfectious lower respiratory diseases (NILRDs). Methods Data related to all death due to NILRD in Kerman Province between 2012 and 2018 were extracted from the National Mortality Registry. The underlying causes of death were extracted from the registry based on the assigned codes from ICD‐10 (International Classification of Diseases 10th Revision) classification. The existence of spatial clusters and outliers was evaluated using local indicators of spatial association statistics. Results The frequency of death due to NILRD was 8005 persons during the 7 years of the study. The main cause of death was chronic lower respiratory disease (54.2%). Other causes of death were, respectively, lung diseases due to external agents (1.09%), other respiratory diseases mainly affecting the interstitium (1.16%), other diseases of pleura (0.57%), and other diseases of the respiratory system (42.13%). The age‐ and sex‐adjusted mortality rates due to NILRD in the north and center of the province increased significantly from 2012 to 2018. Also, the results of cluster analysis identified northern regions as the clustered areas of NILRD. Conclusions Our findings showed a significant increase in mortality due to NILRD in Kerman Province during the 7 years of the study. To reduce this type of death, health policymakers should have environmental health plans and basic solutions, such as a warning system to reduce the commuting on highly air‐polluted days and to control pollutants, especially in the industrial areas of the north of this province.https://doi.org/10.1002/hsr2.875geographical information systemslower respiratory diseasesmortalityspatial analysisspatial clustering
spellingShingle Parastoo Amiri
Soheil Hashtarkhani
Ashraf Yazdizadeh
Leila Ahmadian
Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
Health Science Reports
geographical information systems
lower respiratory diseases
mortality
spatial analysis
spatial clustering
title Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
title_full Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
title_fullStr Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
title_full_unstemmed Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
title_short Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross‐sectional study
title_sort mortality due to noninfectious lower respiratory diseases a spatiotemporal cross sectional study
topic geographical information systems
lower respiratory diseases
mortality
spatial analysis
spatial clustering
url https://doi.org/10.1002/hsr2.875
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AT soheilhashtarkhani mortalityduetononinfectiouslowerrespiratorydiseasesaspatiotemporalcrosssectionalstudy
AT ashrafyazdizadeh mortalityduetononinfectiouslowerrespiratorydiseasesaspatiotemporalcrosssectionalstudy
AT leilaahmadian mortalityduetononinfectiouslowerrespiratorydiseasesaspatiotemporalcrosssectionalstudy