Original Articles
Vol. 21 No. 1 (2026)
Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Published: 16 March 2026
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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.
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Balogun SO, Oguntade ES, Oladimeji DM, 2022. Statistical Analysis of Spatial Distribution of Tuberculosis in Niger State from 2016-2020. J Sci, Islamic Republic of Iran 33:149-56.
Centers for Disease Control and Prevention (CDC), 2025. Tuberculosis. Available from: https://www.cdc.gov/tb/hcp/clinical-overview/tuberculosis-disease.html#:~:text=How%20it%20spreads,Disease%20rates
Cudahy PGT, Andrews JR, Bilinski A, Dowdy DW, Mathema B, Menzies NA, Salomon JA, Shrestha S, CohenT, 2019. Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings. Lancet Infect Dis 19:e89-e95. DOI: https://doi.org/10.1016/S1473-3099(18)30443-2
Dangisso MH, Datiko DG, Lindtjørn B, 2020. Identifying geographical heterogeneity of pulmonary tuberculosis in southern Ethiopia: a method to identify clustering for targeted interventions. Glob Health Action 13:1785737. DOI: https://doi.org/10.1080/16549716.2020.1785737
Dowdy DW, Golub JE, Chaisson RE, Saraceni V, 2012. Heterogeneity in tuberculosis transmission and the role of geographic hotspots in propagating epidemics. Proc Natl Acad Sci U S A 109:9557-62. DOI: https://doi.org/10.1073/pnas.1203517109
Elliott P, Wartenberg D, 2004. Spatial epidemiology: current approaches and future challenges. Environ Health Perspect 112:998–1006. DOI: https://doi.org/10.1289/ehp.6735
ESRI, 2025a. ArcGIS Pro. Tool Reference. Available from: https://pro.arcgis.com/en/pro-app/3.4/tool-reference/tool-errors-and-warnings/001001-010000/tool-errors-and-warnings-01526-01550-001535.htm
ESRI, 2025b. ArcGIS Pro 3.4. Optimized Hot Spot Analysis (Spatial Statistics). Available from: https://pro.arcgis.com/en/pro-app/3.4/tool-reference/spatial-statistics/optimized-hot-spot-analysis.htm#:~:text=Illustration,Summary,class%20to%20produce%20optimal%20results.
Federal Ministry of Health (FMOH), 2019. Draft 2019 Annual TB Report. Available from https://www.health.gov.ng/doc/Draft-2019-NTBLCP-Annual-report-22032020.pdf
Federal Ministry of Health (FMOH), 2015. National tuberculosis, leprosy and Buruli ulcer management and control guidelines. Available from https://www.health.gov.ng/doc/NTBLCP-TBL_BU-Management-Control-guidelines-2015_050315.pdf
GADM, 2025. Available from: https://gadm.org/data.html
GRID 3, 2021. GRID 3 Data Hub for Nigeria (NGA). Available from: https://data.grid3.org/datasets/0824aded5f5a4d39b10871c667aa8ccf_0/about
Gwitira I, Karumazondo N, Shekede MD, Sandy C, Siziba N, Chirenda J, 2021. Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018. PLoS ONE 16:e0249523. DOI: https://doi.org/10.1371/journal.pone.0249523
Im C, Kim Y, 2021. Spatial pattern of tuberculosis (TB) and related socio-environmental factors in South Korea, 2008-2016. PloS one 16:e0255727. DOI: https://doi.org/10.1371/journal.pone.0255727
Independent National Electoral Commission (INEC), 2025. Polling Unit Locator.
Lee JY, Kwon N, Goo GY, Cho SI, 2022. Inadequate housing and pulmonary tuberculosis: a systematic review. BMC Public Health 22:622. DOI: https://doi.org/10.1186/s12889-022-12879-6
Liu Y, Li X, Wang W, Li Z, Hou M, He Y, Wu W, Wang H, Liang H, Guo, X, 2012. Investigation of space-time clusters and geospatial hot spots for the occurrence of tuberculosis in Beijing. Int J Tuberc Lung Dis 16:486-91. DOI: https://doi.org/10.5588/ijtld.11.0255
KNCV Nigeria, 2023. Tuberculosis in Nigeria. Available from https://kncvnigeria.org/nigeria-is-among-the-14-high-burden-countries-for-tb/
Kefas IB, Isiko I, Okoro LN, Isa H, Asingwire JM, Manankong JPI, Kefas IJ, Agunwa BO, Dogo JM, Otokpa EO, 2024. Spatial and temporal distribution of tuberculosis infection in Plateau State, Nigeria: A descriptive ecological study. Student J Health Res Africa 5:13.
Kulldorff MA, 1997. Spatial scan statistic. Communications in Statistics: Theory and Methods 1997; 26:1481-1496. DOI: https://doi.org/10.1080/03610929708831995
Lekwot VE, Yakubu AA, Kwesaba DA, Sahabo AA, 2015. An analysis of inner citydecay: A study of some selected slums in Jos Metropolis, Plateau State, Nigeria. Int J Sci Technol Res 4:171–6.
Munch Z, Van Lill SW, Booysen CN, Zietsman HL, Enarson DA, Beyers N, 2003. Tuberculosis transmission patterns in a high-incidence area: a spatial analysis. Int J Tuberculosis Lung Dis 7:271-7.
National Population Commission (NPC), 2010. Population distribution by sex, state, LGA & senatorial district. 2006 Population and Housing Census: Priority Table Volume III. from http://catalog.ihsn.org/index.php/catalog/3340/download/48521.
National Tuberculosis, Leprosy and Buruli Ulcer Control Programme (NTBLCP). Available from: https://ntblcp.org.ng/resources/2023-annual-tb-report/
Ogbudebe C, JeongD, Odume B, Chukwuogo O, Dim C, Useni S,Okuzu O, Malolan C, Kim D, Nwariaku F, Nwokoye N, Gande S, Nongo D, Eneogu R, Odusote T, Oyelaran S, Chijioke-Akaniro O, Nihalani N, Anyaike C, Gidado M, 2023. Identifying Hot Spots of Tuberculosis in Nigeria Using an Early Warning Outbreak Recognition System: Retrospective Analysis of Implications for Active Case Finding Interventions. JMIR Public Health Surveill 9, e40311. DOI: https://doi.org/10.2196/40311
Onozuka D, Hagihara A, 2007. Geographic prediction of tuberculosis clusters in Fukuoka, Japan, using the space-time scan statistic. BMC Infect Dis 7:26. DOI: https://doi.org/10.1186/1471-2334-7-26
Plateau State Tuberculosis and Leprosy Control Programme (PLSTBLCP), 2019. Quarterly report on tuberculosis case finding: National Tuberculosis and Leprosy Control Programme.
Randremanana RV, Sabatier P, Rakotomanana F, Randriamanantena A, Richard V, 2009. Spatial clustering of pulmonary tuberculosis and impact of the care factors in Antananarivo City. Trop Med Int Health 14:429-37. DOI: https://doi.org/10.1111/j.1365-3156.2009.02239.x
Shaweno D, Karmakar M, Alene KA, Ragonnet R, Clements AC, Trauer JM, Denholm JT, McBryde ES, 2018. Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review. BMC Med 16:193. DOI: https://doi.org/10.1186/s12916-018-1178-4
Song C, Kulldorff M, 2003. Power evaluation of disease clustering tests. Int J Health Geographics 2:9. DOI: https://doi.org/10.1186/1476-072X-2-9
Teibo TKA, Berra TZ, Alves YM, Tavares RBV, Olayemi OA, Arcêncio RA, 2025. Surveillance of tuberculosis incidence and mortality through spatio-temporal analysis in Oyo State, Nigeria. PloS One 20:e0311739. DOI: https://doi.org/10.1371/journal.pone.0311739
Tiwari N, Adhikari CM, Tewari A, Kandpal V, 2006. Investigation of geo-spatial hotspots for the occurrence of tuberculosis in Almora district, India, using GIS and spatial scan statistic. Int J Health Geogr 5:33. DOI: https://doi.org/10.1186/1476-072X-5-33
Touray K, Adetifa IM, Jallow A, Rigby J, Jeffries D, Cheung YB, Donkor S, Adegbola RA, Hill PC, 2010. Spatial analysis of tuberculosis in an urban West African setting: is there evidence of clustering? Trop Med Int Health 15:664-672. DOI: https://doi.org/10.1111/j.1365-3156.2010.02533.x
Trauer JM, Dodd PJ, Gomes MGM, Gomez GB, Houben RMGJ, McBryde ES, Melsew YA, Menzies NA, Arinaminpathy N, Shrestha S, Dowdy DW, 2019. The Importance of Heterogeneity to the Epidemiology of Tuberculosis. Clin Infect Dis 18;69:159-166. DOI: https://doi.org/10.1093/cid/ciy938
Ugwu C, Chukwulobelu U, Igboekwu C, Emodi N, Anumba J, Ugwu S, Ezeobi, C, Ibeziako V, Nwakaogor G, 2021. Geo-Spatial Mapping of Tuberculosis Burden in Anambra State, South-East Nigeria. Journal of Tuberculosis Research 9:51-62. DOI: https://doi.org/10.4236/jtr.2021.91004
World Bank, 2023a. Tuberculosis case detection rate. Available from: https://data.worldbank.org/indicator/SH.TBS.DTEC.ZS?locations=NG.
World Bank, 2023b. Nigeria population annual growth rates. https://data.worldbank.org/indicator/SP.POP.GROW?locations=NG
WHO, 2023. Global Tuberculosis Report 2024. Available from: https://www.who.int/teams/global-programme-on-tuberculosis-and-lung-health/tb-reports/global-tuberculosis-report-2024/tb-disease-burden/1-1-tb-incidence
WHO, 2018. WHO Housing and health guidelines. Geneva. Available from: https://www.ncbi.nlm.nih.gov/books/NBK535289/
Worldpop, 2019.https://hub.worldpop.org/geodata/summary?id=280
How to Cite
Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022. (2026). Geospatial Health, 21(1). https://doi.org/10.4081/gh.2026.1456
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