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Statistical Analysis of Spatial Distribution of Tuberculosis in Ethiopia
Abstract
Tuberculosis is the world’s number one cause of death from an infectious disease. In the year 2018 Ethiopia registered 146,172 cases of TB. Among these, 139,261 were new cases; 46,132 new smear-positive (33.1%); 49,037 new smear-negative (35.2%); 44,092 new extra-pulmonary TB (31.6%). The main objective of this study is to assess the spatial distribution of TB in Ethiopia by using spatial statistical methods. Spatial clustering of Tuberculosis was explored using Moran’s I statistic and the local indicator of spatial autocorrelation. A Poisson regression model using Maximum likelihood Estimation is used to investigate the clustering. A Total of 157,548 Tuberculosis cases were reported in Ethiopia from February 2018 to January 2019 the study period. The highest distribution of Tuberculosis cases was observed in Oromia (38.98%) while the lowest was in Harar (0.62%). The nationwide annual incidence rate of notified Tuberculosis was 167 per 100,000 populations. From the global Moran’s I (-0.575909091) and Geary’s C (2.6437818) test statistics show significant dissimilar clustering (Negative spatial autocorrelation) among neighbouring Regions in Ethiopia. The researcher Conclude that TB was spatially clustered (Dispersed) in Ethiopia. So, the concerned body should give attention to the regions of hotspots to control Tuberculosis.
Keywords
References
Getnet F, Demissie M, Assefa N, Mengistie B, Worku A. (2017). Delay in diagnosis of pulmonary tuberculosis in low-and middle-income settings: systematic review and meta-analysis. BMC Pulmonary Medicine, 17(1), 202.
Pai M, Temesgen Z. (2017). Mind the gap: Time to address implementation gaps in tuberculosis diagnosis and treatment. Journal of Clinical Tuberculosis and Other Mycobacterial Diseases, 6, 14.
Cazabon D, Alsdurf H, Satyanarayana S, Nathavitharana R, Subbaraman R, Daftary A, Pai M. (2017). Quality of tuberculosis care in high burden countries: the urgent need to address gaps in the care cascade. International Journal of Infectious Diseases, 56, 111–116.
Clements AC, Lwambo NJ, Blair L, Nyandindi U, Kaatano G, Kinung'hi S, Brooker S. (2006). Bayesian spatial analysis and disease mapping: tools to enhance planning and implementation of a schistosomiasis control programme in Tanzania. Tropical Medicine & International Health, 11(4), 490–503.
McBryde ES, Denholm JT. (2012). Risk of active tuberculosis in immigrants: effects of age, region of origin and time since arrival in a low‐exposure setting. Medical Journal of Australia, 197(8), 458–461.
Middelkoop K, Bekker LG, Morrow C, Zwane E, Wood R. (2009). Childhood tuberculosis infection and disease: a spatial and temporal transmission analysis in a South African township. South African Medical Journal, 99(10).
Pedigo A, Aldrich T. (2011). Neighborhood disparities in stroke and myocardial infarction mortality: a GIS and spatial scan statistics approach. BMC Public Health, 11(1), 644.
Liestøl K, Tretli S, Tverdal A, Mæhlen J. (2009). Tuberculin status, socioeconomic differences and differences in all-cause mortality: experience from Norwegian cohorts born 1910–49. International Journal of Epidemiology, 38(2), 427–434.
Lakew Y, Benedict S, Haile D. (2015). Social determinants of HIV infection, hotspot areas and subpopulation groups in Ethiopia: evidence from the National Demographic and Health Survey in 2011. BMJ Open, 5(11), e008669.
Derbie A, Mekonnen D. (2015). Prevalence of smear positive pulmonary tuberculosis among patients visiting Bahir Dar health center, Northwest Ethiopia. International Journal of Public Health and Epidemiology, 4(6), 179–182.
Mekonnen A. (2014). Smear-positive pulmonary tuberculosis and AFB examination practices according to the standard checklist of WHO’s tuberculosis laboratory assessment tool in three governmental hospitals, Eastern Ethiopia. BMC Research Notes, 7(1), 295.
Ali H, Zeynudin A, Mekonnen A, Abera S, Ali S. (2012). Smear positive pulmonary tuberculosis (PTB) prevalence amongst patients at Agaro teaching health center, south west Ethiopia. Ethiopian Journal of Health Sciences, 22(1), 71–76.
Verma A, Schwartzman K, Behr MA, Zwerling A, Allard R, Rochefort CM, Buckeridge DL. (2014). Accuracy of prospective space–time surveillance in detecting tuberculosis.
Kulldorff M, Nagarwalla N. (1995). Spatial disease clusters: detection and inference. Statistics in Medicine, 14(8), 799–810.
Theron G, Jenkins HE, Cobelens F, Abubakar I, Khan AJ, Cohen T, Dowdy DW. (2015). Data for action: collection and use of local data to end tuberculosis. The Lancet, 386(10010), 2324–2333.
Moonan PK, Bayona M, Quitugua TN, Oppong J, Dunbar D, Jost KC, Weis SE. (2004). Using GIS technology to identify areas of tuberculosis transmission and incidence. International Journal of Health Geographics, 3(1), 23.
Pronyk PM, Kahn K, Tollman SM. (2007). Using health and demographic surveillance to understand the burden of disease in populations: The case of tuberculosis in rural South Africa. Scandinavian Journal of Public Health, 35(69_suppl), 45–51.
Van Soolingen D. (2001). Molecular epidemiology of tuberculosis and other mycobacterial infections: main methodologies and achievements. Journal of Internal Medicine, 249(1), 1–26.
Maciel ELN, Pan W, Dietze R, Peres RL, Vinhas SA, Ribeiro FK, Golub JE. (2010). Spatial patterns of pulmonary tuberculosis incidence and their relationship to socio-economic status in Vitoria, Brazil. The International Journal of Tuberculosis and Lung Disease, 14(11), 1395–1402.
Haase I, Olson S, Behr MA, Wanyeki I, Thibert L, Scott A, Schwartzman K. (2007). Use of geographic and genotyping tools to characterise tuberculosis transmission in Montreal. The International Journal of Tuberculosis and Lung Disease, 11(6), 632–638.
Shaweno D, Trauer JM, Denholm JT, McBryde ES. (2017). A novel Bayesian geospatial method for estimating tuberculosis incidence reveals many missed TB cases in Ethiopia. BMC Infectious Diseases, 17(1), 662.
Golub JE, Bur S, Cronin WA, Gange S, Baruch N, Comstock GW, Chaisson RE. (2005). Patient and health care system delays in pulmonary tuberculosis diagnosis in a low-incidence state. The International Journal of Tuberculosis and Lung Disease, 9(9), 992–998.
Hilbe JM. (2011). Negative binomial regression. Cambridge University Press.
Lawless JF. (1987). Negative binomial and mixed Poisson regression. Canadian Journal of Statistics, 15(3), 209–225.
Osgood DW. (2000). Poisson-based regression analysis of aggregate crime rates. Journal of Quantitative Criminology, 16(1), 21–43.
Gardner W, Mulvey EP, Shaw EC. (1995). Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models. Psychological Bulletin, 118(3), 392.
Nemera A. (2016). Integration of the Ethiopian Climate Resilient Green Economy (CRGE) Strategy into the Growth and Transformation Plan (GTP-II) Process: Implications to the Most Vulnerable Social Groups (Doctoral dissertation, Addis Ababa University).
Munch Z, Van Lill SWP, Booysen CN, Zietsman HL, Enarson DA, Beyers N. (2003). Tuberculosis transmission patterns in a high-incidence area: a spatial analysis. International Journal of Tuberculosis and Lung Disease, 7(3), 271–277.
Dangisso MH, Datiko DG, Lindtjørn B. (2015). Accessibility to tuberculosis control services and tuberculosis program performance in southern Ethiopia. Global Health Action, 8(1), 29443.
Keshavjee S, Dowdy D, Swaminathan S. (2015). Stopping the body count: a comprehensive approach to move towards zero tuberculosis deaths. The Lancet, 386(10010), e46-e47.
Club TB. (2016). Akaike H. 1973. Information theory and an extension of the maximum likelihood principle. Pp. 267–281 in 2nd International Symposium on Information Theory, Tsahkadsor, Armenia, USSR, September 2–8, 1971, eds. BN Petrov and F. Csáki. Budapest: Akadémiai Kiadó, Bankevich AS, Nurk D Antipov, AA Gurevich, M Dvorkin, AS Kulikov, VM Lesin, et al. 2012. SPAdes: A new genome assembly algorithm and its applications to single. Systematics and Evolution of the Arundinoideae and Micrairoideae (Poaceae), 18(1), 139.
Queiroga RPF D., Sá LDD, Nogueira JDA, Lima ERVD, Silva ACO, Pinheiro PGOD, Braga JU. (2012). Spatial distribution of tuberculosis and relationship with living conditions in an urban area of Campina Grande-2004 to 2007. Revista Brasileira de Epidemiologia, 15, 222–232.
Elliott PW. (2004). Spatial epidemiology: current approach sand future challenges. Environ Health Perspect, 112(9), 998.
Sasson C, Cudnik MT, Nassel A, Semple H, Magid DJ, Sayre M, Columbus Study Group). (2012). Identifying high‐risk geographic areas for cardiac arrest using three methods for cluster analysis. Academic Emergency Medicine, 19(2), 139–146.
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. Tropical Medicine & International Health, 14(4), 429–437.
Alene KA, Viney K, McBryde ES, Clements AC. (2017). Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia. Geospatial Health.
Tadesse H. (2011). Statistical Analysis of Spatial Distribution of Tuberculosis in North Shoa Zone, Ethiopia (Doctoral dissertation, Addis Abeba University).
Nunes C. (2007). Tuberculosis incidence in Portugal: spatiotemporal clustering. International Journal of Health Geographics, 6(1), 30.
Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Musgrove P. (Eds.). (2006). Disease Control Priorities in Developing Countries. The World Bank.
Gideon S. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.
Jia ZW, Jia XW, Liu YX, Dye C, Chen F, Chen CS, Liu HL. (2008). Spatial analysis of tuberculosis cases in migrants and permanent residents, Beijing, 2000–2006. Emerging Infectious Diseases, 14(9), 1413.
Ostfeld RS, Glass GE, Keesing F. (2005). Recent developments in remote sensing for environmental monitoring. Trends in Ecology & Evolution, 6(20), 328–336.
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