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

Accident Iran Negative binomial Poisson Semiparametric mixed model

Journal

Iranian journal of public health
ISSN: 2251-6085
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Apr 2020
Historique:
entrez: 18 6 2020
pubmed: 18 6 2020
medline: 18 6 2020
Statut: ppublish

Résumé

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. 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. 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 ( 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.

Sections du résumé

BACKGROUND 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 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 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 (
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 32548057
pii: IJPH-49-763
pmc: PMC7283194

Types de publication

Journal Article

Langues

eng

Pagination

763-772

Informations de copyright

Copyright © Iranian Public Health Association & Tehran University of Medical Sciences.

Déclaration de conflit d'intérêts

Conflict of interests The authors declare that there is no conflict of interests.

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Auteurs

Mostafa Eghbalian (M)

Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Abbas Moghimbeigi (A)

Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Modeling of Noncommunicable Disease Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.

Marzieh Mahmoodi (M)

Department of Biostatistics, Faculty of Health and Nutrition, Bushehr University of Medical Sciences, Bushehr, Iran.

Iraj Mohamadfam (I)

Department of Occupational Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Razieh Sadat Mirmoeini (RS)

Disease Control & Prevention Center, Deputy of Health Services, Hamadan University of Medical Sciences, Hamadan, Iran.

Classifications MeSH