D Shaweno1, T Shaweno2, J M Trauer3, J T Denholm4, E S McBryde5. 1. Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia. 2. Department of Epidemiology, College of Health Sciences, Jimma University, Jimma, Ethiopia. 3. Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia; Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia. 4. Victorian Tuberculosis Program at the Peter Doherty Institute for Infection and Immunity, Melbourne, Department of Microbiology and Immunology, University of Melbourne, Melbourne, Victoria, Australia. 5. Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia; Australian Institute of Tropical Health & Medicine, James Cook University, Townsville City, Queensland, Australia.
Abstract
OBJECTIVE: To describe the distribution of tuberculosis (TB) and its drivers in Sheka Zone, a geographically remote region of Ethiopia. METHODS: We collected data on TB patients treated from 2010 to 2014 in the Sheka Zone. Predictors of TB incidence were determined using a multivariate generalised linear regression model. RESULTS: We found significant spatial autocorrelation of TB incidence by kebele (the smallest administrative geographical subdivision in Ethiopia) (Moran's I = 0.3, P < 0.001). The average TB incidence per kebele ranged from 0 to 453 per 100 000 population per year, and was significantly associated with average TB incidence across adjacent kebeles, TB incidence in the same kebele in the previous year and health facility availability. Each increment in TB incidence by 10/100 000/year in adjacent kebeles or in a previous year was associated with an increase in TB incidence of respectively 3.0 and 5.5/100 000/year. Availability of a health centre was associated with an increase in TB incidence of 84.3/100 000. CONCLUSIONS: TB incidence in rural Ethiopia is highly heterogeneous, showing significant spatial autocorrelation. Both local transmission and access to health care are likely contributors to this pattern. Identification of local hotspots may assist in developing and optimising effective prevention and control strategies.
OBJECTIVE: To describe the distribution of tuberculosis (TB) and its drivers in Sheka Zone, a geographically remote region of Ethiopia. METHODS: We collected data on TB patients treated from 2010 to 2014 in the Sheka Zone. Predictors of TB incidence were determined using a multivariate generalised linear regression model. RESULTS: We found significant spatial autocorrelation of TB incidence by kebele (the smallest administrative geographical subdivision in Ethiopia) (Moran's I = 0.3, P < 0.001). The average TB incidence per kebele ranged from 0 to 453 per 100 000 population per year, and was significantly associated with average TB incidence across adjacent kebeles, TB incidence in the same kebele in the previous year and health facility availability. Each increment in TB incidence by 10/100 000/year in adjacent kebeles or in a previous year was associated with an increase in TB incidence of respectively 3.0 and 5.5/100 000/year. Availability of a health centre was associated with an increase in TB incidence of 84.3/100 000. CONCLUSIONS: TB incidence in rural Ethiopia is highly heterogeneous, showing significant spatial autocorrelation. Both local transmission and access to health care are likely contributors to this pattern. Identification of local hotspots may assist in developing and optimising effective prevention and control strategies.
Authors: Helen E Jenkins; Sally Ayuk; Daniela Puma; Meredith B Brooks; Ana Karina Millones; Judith Jimenez; Leonid Lecca; Jerome T Galea; Mercedes Becerra; Salmaan Keshavjee; Courtney M Yuen Journal: Int J Infect Dis Date: 2022-04-22 Impact factor: 12.074
Authors: Debebe Shaweno; Malancha Karmakar; Kefyalew Addis Alene; Romain Ragonnet; Archie Ca Clements; James M Trauer; Justin T Denholm; Emma S McBryde Journal: BMC Med Date: 2018-10-18 Impact factor: 8.775