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.

Background: Traffic accidents eliminate huge human potential, and also have significant social and economic consequences. To address this public health problem, the World Health Organization has nominated a Credential safe community. Purposes: The present study was designed to evaluate the effect of the implementation of the safe community of Zarand (7 years after the implementation) on the mortality rate of traffic accidents during 2013-2017. Methods: This study is a descriptive study. To determine the process of traffic accident deaths seven years after the implementation of the safe community of Zarand (2013Zarand ( -2017 and calculating YLL (Years potential life loss), the information was derived from the Iran Death Register and the life table of Iranian population (life expectancy index from birth). SPSS V24 and Excel software were used to analyze the data.