The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016

Background: Accidents were just one of the general health problems. According to WHO forecasts (2013), deaths from road accidents will become the fifth-highest cause of death in the world by 2030. Therefore, we have attempted the application of non-parametric count models for modeling female’s accid...

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Main Authors: Mostafa EGHBALIAN, Abbas MOGHIMBEIGI, Marzieh MAHMOODI, Iraj MOHAMADFAM, Razieh Sadat MIRMOEINI
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-07-01
Series:Iranian Journal of Public Health
Subjects:
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/20169
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author Mostafa EGHBALIAN
Abbas MOGHIMBEIGI
Marzieh MAHMOODI
Iraj MOHAMADFAM
Razieh Sadat MIRMOEINI
author_facet Mostafa EGHBALIAN
Abbas MOGHIMBEIGI
Marzieh MAHMOODI
Iraj MOHAMADFAM
Razieh Sadat MIRMOEINI
author_sort Mostafa EGHBALIAN
collection DOAJ
description Background: Accidents were just one of the general health problems. According to WHO forecasts (2013), deaths from road accidents will become the fifth-highest cause of death in the world by 2030. Therefore, we have attempted the application of non-parametric count models for modeling female’s accident rates. Methods: All accidents in Hamadan Province, western Iran are referred to as one of the emergency centers located in the hospitals. Data regarding the accidents were obtained from 21 emergency centers across Hamadan for the period 2009-2016. To assess the trend and pattern of the accidents, the Generalized Additive Model for the accident rate has been utilized. Results: The Mean±SD age of the females in study was 31.23±12.88 yr old. For each of the three kinds of road accidents (car accidents, motor accidents and pedestrian crashes), the accident rates in the “residential urban” areas are lesser than in the “non-residential” area (P=<0.001) and in "public and sports grounds" and "great roads, avenues and streets" are more than in "others". For the three kinds of accidents, the functional effect in the monthly trend of the accidents was signification (P=<0.001). Conclusion: The rates for all three kinds of accidents decreased. The increase in accident rates from the beginning of 2014 to Mar 2016 maybe due to the generalization of insurances in Iran and the increase in the number of accident victims being referred to the hospitals, which was the same with the results of other studies.
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spelling doaj.art-d7ef296a44bb4579b770a77e490818f72022-12-21T21:04:46ZengTehran University of Medical SciencesIranian Journal of Public Health2251-60852251-60932020-07-0149410.18502/ijph.v49i4.3184The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016Mostafa EGHBALIAN0Abbas MOGHIMBEIGI1Marzieh MAHMOODI2Iraj MOHAMADFAM3Razieh Sadat MIRMOEINI4Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, IranDepartment of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran AND Modeling of Noncommunicable Disease Research Center, Hamadan University of Medical Sciences, Hamadan, IranDepartment of Biostatistics, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, IranDepartment of Occupational Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, IranDisease Control & Prevention Center, Deputy of Health Services, Hamadan University of Medical Sciences, Hamadan, IranBackground: Accidents were just one of the general health problems. According to WHO forecasts (2013), deaths from road accidents will become the fifth-highest cause of death in the world by 2030. Therefore, we have attempted the application of non-parametric count models for modeling female’s accident rates. Methods: All accidents in Hamadan Province, western Iran are referred to as one of the emergency centers located in the hospitals. Data regarding the accidents were obtained from 21 emergency centers across Hamadan for the period 2009-2016. To assess the trend and pattern of the accidents, the Generalized Additive Model for the accident rate has been utilized. Results: The Mean±SD age of the females in study was 31.23±12.88 yr old. For each of the three kinds of road accidents (car accidents, motor accidents and pedestrian crashes), the accident rates in the “residential urban” areas are lesser than in the “non-residential” area (P=<0.001) and in "public and sports grounds" and "great roads, avenues and streets" are more than in "others". For the three kinds of accidents, the functional effect in the monthly trend of the accidents was signification (P=<0.001). Conclusion: The rates for all three kinds of accidents decreased. The increase in accident rates from the beginning of 2014 to Mar 2016 maybe due to the generalization of insurances in Iran and the increase in the number of accident victims being referred to the hospitals, which was the same with the results of other studies.https://ijph.tums.ac.ir/index.php/ijph/article/view/20169PoissonNegative binomial;Semiparametric mixed model;AccidentIran
spellingShingle Mostafa EGHBALIAN
Abbas MOGHIMBEIGI
Marzieh MAHMOODI
Iraj MOHAMADFAM
Razieh Sadat MIRMOEINI
The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
Iranian Journal of Public Health
Poisson
Negative binomial;
Semiparametric mixed model;
Accident
Iran
title The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
title_full The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
title_fullStr The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
title_full_unstemmed The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
title_short The Application of Non-Parametric Count Models for the Modeling of Female’s Accident Rates in Hamadan Province from 2009 to 2016
title_sort application of non parametric count models for the modeling of female s accident rates in hamadan province from 2009 to 2016
topic Poisson
Negative binomial;
Semiparametric mixed model;
Accident
Iran
url https://ijph.tums.ac.ir/index.php/ijph/article/view/20169
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