Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022.

IF 1.5 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES
Geospatial Health Pub Date : 2026-02-02 Epub Date: 2026-03-16 DOI:10.4081/gh.2026.1456
Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira
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引用次数: 0

Abstract

Plateau State is one of Nigeria's 14 states with a high Tuberculosis (TB) burden. In this state and its capital city, Jos Metropolis, TB cases have been on the increase. There are no reported studies on the spatial mapping of TB cases from Jos Metropolis. Thus, it is not known how TB hotspots and clusters may contribute to the propagation of area-wide TB transmission in this area and the implications for prevention and control. The objective of this study was to determine the spatial pattern of TB cases in Jos Metropolis from 2019-2022 based on existing TB data in the treatment registers and their residential addresses. We geolocated the cases to the nearest Polling Unit (PU) in their Electoral Ward (EW) using the Global Positioning System (GPS) coordinates obtained from the Polling Unit Locator (PUL) on the website of the Independent National Electoral Commission (INEC). In ArcGIS Pro (version 3.5.3) environment, TB hotspots were determined. Using the SaTScan software (version 10.3.2), a retrospective purely spatial analysis was carried out to identify purely spatial TB clusters based on the discrete Poisson model. A total of 4,897 TB cases were mapped. Significant TB hotspots (Z-score >1.96 and p-value <0.05) and primary TB clusters were found for each of the study years. The hotspots and clusters were located in the northern part of the Jos Metropolis, particularly the more centrally located areas. We found both a potential for future increase in TB cases and a spread to other areas of the Jos Metropolis from these TB hotspots and clusters in the northern part of the metropolis. Hence, there is an urgent need for a targeted TB screening and treatment, resource allocation and health education campaigns in the identified EWs.

2019-2022年尼日利亚乔斯大都会结核病病例空间格局
高原州是尼日利亚14个结核病高负担州之一。在这个州及其首府乔斯大都会,结核病病例一直在增加。目前尚无关于乔斯市结核病病例空间制图的研究报告。因此,尚不清楚结核病热点和聚集如何促进该地区全区域结核病传播的传播以及对预防和控制的影响。本研究的目的是基于治疗登记簿中的现有结核病数据及其居住地址,确定2019-2022年乔斯大都会结核病病例的空间格局。我们利用从全国独立选举委员会(INEC)网站上的投票单位定位器(PUL)获得的全球定位系统(GPS)坐标,将这些病例定位到其选举区(EW)最近的投票单位(PU)。在ArcGIS Pro(版本3.5.3)环境下,确定TB热点。利用SaTScan软件(10.3.2版本),基于离散泊松模型进行回顾性纯空间分析,以确定纯空间结核集群。共绘制了4,897例结核病例。显著结核病热点(Z-score >1.96和p值)
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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.
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