Geographical Distribution of COVID-19 Confirmed Cases in Iran: A Short Communication

Moslem Taheri Soodejani, H. Shoraka, S. Tabatabaei
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引用次数: 1

Abstract

Background: In Iran, the first cases of SARS-CoV-2 disease were detected with the death of 2 people in Qom city. Then other cases were reported in Markazi, Tehran, and Gilan provinces, and after that the disease spread to all 31 provinces of the country. Materials and Methods: All data used in this study were collected from the reports of the National Committee on COVID-19 Epidemiology in the Ministry of Health and Medical Education in Iran. To investigate the effect of traveling between neighboring provinces, a spatial rate smoothing method was used, showing the impact of neighborhood on the disease prevalence. Also, to investigate the relationship between population density and disease prevalence, spatial regression was used at a significance level of 5%. Findings: Based on the estimated spatial rates, the disease prevalence rates changed in many provinces compared to the raw prevalence rates. Population density was also found to be directly related to the disease prevalence, so that with increasing population density, the disease prevalence rate increased (p <.001). Conclusion: It seems that case finding process should be done actively in all provinces of Iran regardless of administrative borders. Provinces should also be classified in terms of the disease transmission risk according to population density of patients, which may indicate the probability of contact between individuals. © 2021, TMU Press. Tonal License which per.
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伊朗COVID-19确诊病例的地理分布:简短通报
背景:伊朗库姆市发现首例SARS-CoV-2病例,2人死亡。随后,马卡齐省、德黑兰省和吉兰省报告了其他病例,此后该病蔓延到该国所有31个省。材料和方法:本研究使用的所有数据均来自伊朗卫生和医学教育部COVID-19流行病学全国委员会的报告。为了研究邻近省份间交通对疾病流行的影响,采用空间率平滑方法,显示邻近地区对疾病流行的影响。此外,为了研究人口密度与疾病患病率之间的关系,在5%的显著性水平上使用空间回归。结果:基于估算的空间患病率,与原始患病率相比,许多省份的疾病患病率发生了变化。人口密度与疾病患病率也有直接关系,随着人口密度的增加,疾病患病率增加(p < 0.001)。结论:伊朗各省不分行政边界,都应积极开展病例发现工作。各省还应根据患者的人口密度进行疾病传播风险分类,这可能表明个体之间接触的概率。©2021,TMU出版社。音调许可证。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
20
审稿时长
6 weeks
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