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印度尼西亚结核病聚集区的时空动态

Spatio-Temporal Dynamics of Tuberculosis Clusters in Indonesia.

作者信息

Rengganis Wardani Dyah Wulan Sumekar, Wahono Endro Prasetyo

机构信息

Department of Public Health, Faculty of Medicine, University of Lampung, Bandar Lampung, Indonesia.

Department of Civil Engineering, Faculty of Engineering, University of Lampung, Bandar Lampung, Indonesia.

出版信息

Indian J Community Med. 2020 Jan-Mar;45(1):43-47. doi: 10.4103/ijcm.IJCM_182_19.

DOI:10.4103/ijcm.IJCM_182_19
PMID:32029983
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6985962/
Abstract

CONTEXT

Stratification of social determinants leads to clustering of low socioeconomic communities, which then leads to spatio-temporal tuberculosis (TB) clusters. While previous studies have investigated spatio-temporal TB clusters, few have reported on the dynamics of them and the characteristics of social determinants.

AIMS

To investigate the spatio-temporal dynamics of TB clusters in Bandar Lampung, Indonesia, from 2015 to 2016, and to identify the characteristics of population density and percentage of poverty of the clusters.

SETTINGS AND DESIGN

A cross-sectional study was performed to analyze the spatio-temporal dynamics of TB clusters. The sample consisted of 705 TB patients (2015) and 1134 TB patients (2016), registered in 30 community health centers in Bandar Lampung, Indonesia.

SUBJECTS AND METHODS

Geographical coordinates of the TB patients' residence were collected using Geographical Positioning System. Secondary data, consisting of population density and the percentage of poverty, were obtained from the subdistrict office in the region under investigation.

STATISTICAL ANALYSIS

Data were analyzed with space-time permutation model using SaTScan software.

RESULTS

Spatio-temporal dynamics of TB clusters were found in 2015 and 2016, including the number of significant clusters, TB cases within the clusters, as well as locations and sizes of the clusters. All the clusters were found to have similar social determinant characteristics: medium-high population density and low-medium percentage of poverty.

CONCLUSIONS

TB control programs in countries with a high TB burden and low social determinants should consider the spatio-temporal dynamics of the TB cluster and its social determinant characteristics for a better TB's intervention.

摘要

背景

社会决定因素的分层导致低社会经济社区的聚集，进而导致时空结核病（TB）聚集。虽然先前的研究调查了时空结核病聚集情况，但很少有研究报告其动态变化及社会决定因素的特征。

目的

调查2015年至2016年印度尼西亚楠榜市结核病聚集的时空动态，并确定聚集区的人口密度特征和贫困率。

设置与设计

进行一项横断面研究以分析结核病聚集的时空动态。样本包括在印度尼西亚楠榜市30个社区卫生中心登记的705例结核病患者（2015年）和1134例结核病患者（2016年）。

研究对象与方法

使用全球定位系统收集结核病患者居住地的地理坐标。从调查区域的分区办公室获取包括人口密度和贫困率在内的二手数据。

统计分析

使用SaTScan软件的时空置换模型对数据进行分析。

结果

在2015年和2016年发现了结核病聚集的时空动态，包括显著聚集区的数量、聚集区内的结核病病例以及聚集区的位置和大小。所有聚集区都具有相似的社会决定因素特征：中等偏高的人口密度和中低贫困率。

结论

在结核病负担高且社会决定因素低的国家，结核病控制项目应考虑结核病聚集的时空动态及其社会决定因素特征，以更好地进行结核病干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/ce7f0e6859f1/IJCM-45-43-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/81bb67aeb1dc/IJCM-45-43-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/313aa01d5964/IJCM-45-43-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/1cba8e010889/IJCM-45-43-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/ce7f0e6859f1/IJCM-45-43-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/81bb67aeb1dc/IJCM-45-43-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/313aa01d5964/IJCM-45-43-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/1cba8e010889/IJCM-45-43-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6b8/6985962/ce7f0e6859f1/IJCM-45-43-g004.jpg

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