Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia.

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES Geospatial Health Pub Date : 2023-11-07 DOI:10.4081/gh.2023.1240
Fuad Husain Akbar, Nur Amaliyah Riyadh
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Abstract

Addressing the presence of periodontal disease requires a high level of expertise to detect the disease as well as effective communication to understand patients' problems. Based on basic health data from 2018, the prevalence of this problem in Indonesia is approximately 74%. This study examined the distribution of periodontal conditions in March 2021 in Makassar City, the capital of South Sulawesi Province. To determine the distribution of periodontal disease, a questionnaire was used to find out the severity of this issue. A descriptive observational method, used with a cross-sectional design and a web-based geospatial information system (GIS) application linked to ArcGIS, was conducted. The results showed thatout of the 15 districts in Makassar City, the island district of Sangkarranghad had the highest presence of periodontal disease. Three other districts were classified as also belonging to this low category, while 11 other ones exhibited a medium disease incidence score.

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地理空间信息系统在印度尼西亚南苏拉威西省望加锡市牙周病分布评估中的应用。
解决牙周病的存在需要高水平的专业知识来检测疾病,并需要有效的沟通来了解患者的问题。根据2018年的基本健康数据,该问题在印度尼西亚的流行率约为74%。这项研究调查了2021年3月南苏拉威西省首府望加锡市牙周状况的分布。为了确定牙周病的分布,我们使用了一份问卷来了解这个问题的严重程度。采用描述性观测方法,结合横断面设计和与ArcGIS相连的基于网络的地理空间信息系统应用程序。结果显示,在望加锡市的15个区中,桑卡朗加德岛区的牙周病发病率最高。其他三个地区也属于这一低级别,而其他11个地区的疾病发病率得分为中等。
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来源期刊
Geospatial Health
Geospatial Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.40
自引率
11.80%
发文量
48
审稿时长
12 months
期刊介绍: The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.
期刊最新文献
Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models. A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control. The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation. Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan. Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019-2021.
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