利用地理信息系统研究大型人口 12 年牙周病患病率的时空分布:纵向研究。

IF 1.4 4区 医学 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Bulent Bostanci, Gozde Erimli, Duygu Kilic
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引用次数: 0

摘要

目的:利用地理信息系统(GIS)和核分析流行病学数据,对通常与牙齿生物膜有关并影响成年人的牙周疾病进行了研究。本文通过评估疾病流行的时空分布,提出了一种用于流行病学研究的混合方法:本研究分析了大学牙科学院 662351 名来访者中牙周病学系的 47757 名患者(2012 年至 2023 年 7 月)。研究地点选在土耳其开塞利市中心。牙周炎患病率通过放射学证据和临床检查进行评估。以点为基础的位置数据(包括性别、年龄和疾病类型)与家庭数据相匹配,形成以建筑物为基础的空间数据。核密度(KD)和平均近邻(ANN)分析检查了特定区域的患者集中度和疾病类型。相应地,按年份编制了标准偏差椭圆,以评估患者居住地区的空间变化:研究发现,男性牙周炎发病率较高,且随年龄增长而增加,而牙龈炎发病率则有所下降。2017 年后,牙周炎患病率明显下降。基于位置的数据显示出患者分布的集群性。KD地图显示了多年来相似的患者分布,更多的申请来自靠近牙科学院的地区。申请患者的空间分布在过去 5 年中保持一致:通过地理信息系统,KD 地图显示了牙周炎患者的时空分布。结论:通过地理信息系统(GIS),KD 地图揭示了牙周炎患者的时空分布情况,这有助于确定高发地区,并指导医疗机构的战略布局。在高需求地区,尤其是在家庭健康中心(当地医疗机构)实施预防计划,可以降低整个社区的牙周病患病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial-Temporal Distribution of 12-Year Periodontal Disease Prevalence in a Large Population Using Geographical Information Systems: A Longitudinal Study.

Purpose: Periodontal diseases, commonly linked to dental biofilm and affecting adults, were studied using Geographic Information Systems (GIS) and Kernel Analyses with epidemiological data. This paper presents a hybrid method for use in epidemiological studies by evaluating the spatiotemporal distribution of disease prevalence.

Materials and methods: This study analy ed 47,757 patients from the Department of Periodontology out of 662,351 visitors to University Faculty of Dentistry (2012 to July 2023). The central districts of Kayseri in Turkey were selected as the study areas. Periodontitis prevalence was assessed through radiographic evidence and clinical examination. Point-based location data, including gender, age, and disease type, matched household data, creating building-based spatial data. Kernel Density (KD) and Average Nearest Neighbor (ANN) analyses examined patient concentration and disease types in specific regions. Accordingly, standard deviation ellipses were prepared by year to assess the spatial changes in the regions where patients resided.

Results: The study found higher periodontitis prevalence in males, increasing with age, while gingivitis decreased. After 2017, periodontitis prevalence notably declined. Location-based data exhibited clustering in patient distribution. KD maps showed similar patient distributions over the years, with more applications from areas closer to the Faculty of Dentistry. The spatial distribution of the patients applying has remained consistent over the last 5 years.

Conclusions: Through GIS, KD maps reveal the spatial-temporal distribution of periodontitis patients. This aids in identifying high-prevalence regions and guiding strategic healthcare facility placement. Implementing preventive programs in high-demand areas, particularly in family health centers (local health facilities), can reduce community-wide periodontal disease prevalence.

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来源期刊
Oral health & preventive dentistry
Oral health & preventive dentistry DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
3.00
自引率
0.00%
发文量
51
审稿时长
>12 weeks
期刊介绍: Clinicians, general practitioners, teachers, researchers, and public health administrators will find this journal an indispensable source of essential, timely information about scientific progress in the fields of oral health and the prevention of caries, periodontal diseases, oral mucosal diseases, and dental trauma. Central topics, including oral hygiene, oral epidemiology, oral health promotion, and public health issues, are covered in peer-reviewed articles such as clinical and basic science research reports; reviews; invited focus articles, commentaries, and guest editorials; and symposium, workshop, and conference proceedings.
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