Literature DB >> 29122689

Spatiotemporal analysis of brucellosis incidence in Iran from 2011 to 2014 using GIS.

Reza Pakzad1, Iraj Pakzad2, Saeid Safiri3, Mohammad Reza Shirzadi4, Marzieh Mohammadpour5, Abbas Behroozi3, Mark J M Sullman6, Ali Janati7.   

Abstract

OBJECTIVE: To investigate the distribution and trends associated with brucellosis incidence rates in Iran from 2011 to 2014.
METHODS: The reported incidence rates of brucellosis for the years 2011-2014 were collected and entered into GIS 10.1. The Cochran-Armitage test for linear trends, choropleth maps, hot-spot analysis, and high-low clustering analysis were used to investigate patterns of the disease over the study period and by season, and to identify high-risk areas and any clustering of the disease. The significance level was set at p<0.05.
RESULTS: A total of 68493 cases of brucellosis were reported during the study period, giving an average brucellosis incidence rate for this period of 38.67/100000. In 2011, the highest rate of brucellosis was observed in Koohrang County of Chaharmahal-Bakhtiari Province, with 317/100 000. In the subsequent years, 2012-2014, Charuymaq County of East-Azerbaijan Province had incidence rates of 384, 534, and 583/100000, respectively. However, the incidence rate of the disease did not follow a linear trend (p<0.001). The maximum and minimum incidence rates of the disease occurred in mid-summer and mid-winter, respectively. The results of the hot-spot analysis showed that the distribution of the disease was highest in the mountainous areas of Iran, particularly along the Zagros mountain range and in most cities near the Zagros Mountains (p<0.01). In addition, the cluster analysis showed a clustering pattern in these high incidence areas (p<0.01).
CONCLUSIONS: There were significant differences in the geographic distribution of brucellosis, with the incidence rates being highest in most of the cities in the west and north-west of the country. The incidence of this disease also increased during the summer. It is important to take these patterns into account when allocating resources to combat this disease and to ensure that health programs and other interventions focus on the areas of greatest need.
Copyright © 2017 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Brucellosis; Cluster pattern; GIS; Hot-spots; Spatiotemporal modeling

Mesh:

Year:  2017        PMID: 29122689     DOI: 10.1016/j.ijid.2017.10.017

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  14 in total

1.  The Incidence and Geographical Distribution of Brucellosis in Iran Using Geographic Information System and Prediction of its Incidence in 2021.

Authors:  Mohammad Reza Shirzadi; Parvin Mohammadi; Ghobad Moradi; Elham Goodarzi; Salman Khazaei; Leili Moayed; Zaher Khazaei
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Review 5.  Different Clinical Manifestations of Human Brucellosis in Pregnant Women: A Systematic Scoping Review of 521 Cases from 10 Countries.

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Journal:  Biomed Res Int       Date:  2021-09-03       Impact factor: 3.411

7.  Bacterial coinfection among coronavirus disease 2019 patient groups: an updated systematic review and meta-analysis.

Authors:  S Soltani; S Faramarzi; M Zandi; R Shahbahrami; A Jafarpour; S Akhavan Rezayat; I Pakzad; F Abdi; P Malekifar; R Pakzad
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8.  Spatio-temporal cluster and distribution of human brucellosis in Shanxi Province of China between 2011 and 2016.

Authors:  Ting Wang; Xiang Wang; Ping Tie; Yongfei Bai; Yuhua Zheng; Changfu Yan; Zhikai Chai; Jing Chen; Huaxiang Rao; Lingjia Zeng; Limin Chen; Lixia Qiu
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

9.  Spatial-temporal distribution of human brucellosis in mainland China from 2004 to 2017 and an analysis of social and environmental factors.

Authors:  Cheng Peng; Yan-Jun Li; De-Sheng Huang; Peng Guan
Journal:  Environ Health Prev Med       Date:  2020-01-02       Impact factor: 3.674

10.  Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018.

Authors:  Behzad Kiani; Amene Raouf Rahmati; Robert Bergquist; Soheil Hashtarkhani; Neda Firouraghi; Nasser Bagheri; Elham Moghaddas; Alireza Mohammadi
Journal:  BMC Public Health       Date:  2021-06-07       Impact factor: 3.295

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