We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Mapping Cases of Tuberculosis Distribution and Treatment Outcomes using Geographical Information System - The Case of Birim Central Municipality, E/R - Ghana

by Boaz Ahulu, Frimpong Twum, J. B. Hayfron Acquah
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 182 - Number 35
Year of Publication: 2019
Authors: Boaz Ahulu, Frimpong Twum, J. B. Hayfron Acquah
10.5120/ijca2019918349

Boaz Ahulu, Frimpong Twum, J. B. Hayfron Acquah . Mapping Cases of Tuberculosis Distribution and Treatment Outcomes using Geographical Information System - The Case of Birim Central Municipality, E/R - Ghana. International Journal of Computer Applications. 182, 35 ( Jan 2019), 45-54. DOI=10.5120/ijca2019918349

@article{ 10.5120/ijca2019918349,
author = { Boaz Ahulu, Frimpong Twum, J. B. Hayfron Acquah },
title = { Mapping Cases of Tuberculosis Distribution and Treatment Outcomes using Geographical Information System - The Case of Birim Central Municipality, E/R - Ghana },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 182 },
number = { 35 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 45-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume182/number35/30294-2019918349/ },
doi = { 10.5120/ijca2019918349 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:13:25.448915+05:30
%A Boaz Ahulu
%A Frimpong Twum
%A J. B. Hayfron Acquah
%T Mapping Cases of Tuberculosis Distribution and Treatment Outcomes using Geographical Information System - The Case of Birim Central Municipality, E/R - Ghana
%J International Journal of Computer Applications
%@ 0975-8887
%V 182
%N 35
%P 45-54
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Analyzing the spatiotemporal distribution of tuberculosis (TB) is a very important way to understand its epidemiology thereby helping to identify geographic regions at higher risk and to enable proper control and resource allocation. This study was undertaken to ascertain the spatiotemporal distribution of TB cases and treatment outcomes in the Birim Central Municipality (BCM) in the Eastern Region (E/R) of Ghana for the period 2012-2016 and to recommend appropriate preventive measures. In this retrospective study, the locations of the total of 268 TB cases identified from 2012-2016 were geocoded on the BCM digital maps. Spatial visualization using choropleth maps, network analysis, and service area analysis of ArcGIS10.2 was used to identify the geographic concentration of cases and the various treatment outcomes as well as proximity of patient community to health facility. A questionnaire was also used to collect primary data from TB patients diagnosed in year 2017. This data was analyzed using SPSS version 21. The study identified five main communities as hot spots of TB in the municipality with variations in other communities. It was also found that other non-spatial factors such as socioeconomic factors and stigmatization highly influence treatment outcome. Reducing stigmatization, regular sensitization of health staff who are not directly involved in tuberculosis care, and using a formerly cured TB patient as a peer educator were some of the best ways identified to help improve positive treatment outcomes in the municipality.

References
  1. Yang, Y.R., McManus, D. P., Gray, D.J., Wang, X.L., Yang, S.K., Ross, A.G.,…Ellis M.K. (2012). Evaluation of the tuberculosis programme in Ningxia Hui autonomous region, the People’s Republic of China: a retrospective case study. BMC Public Health.12:1110.
  2. Amo-Adjei, J. (2013a). Views of Health service providers on obstacles To tuberculosis control in Ghana.Infectious diseases of poverty journal.2:9.
  3. Li, X., Wang, L., Zhang, H., Jiang, S., Fang, Q., Chen, J., & Zhou, X. (2014). Spatial variations of pulmonary tuberculosis prevalence co-impacted in People’s Republic of China, 2010. BMC Public Health. 14:257
  4. Country Coordinating Mechanism [CCM], Ghana (n.d). Tuberculosis in Ghana. Retrieved from http://www.ccmghana.net/index.ph p/tuberculosis on 10th August, 2017
  5. Møller, V., Erstad, I., Cramm, J. M., Nieboer, A. P., Finkenflügel, H., Radloff, S., . . . Kwizera, S. A. (2011). Delays in presenting for tuberculosis treatment associated with fear of learning one is HIV-positive. African Journal of AIDS Research, 10(1), 25-36.
  6. Kripalani, S., Jackson, A. T., Schnipper, J. L., & Coleman, E. A. (2007). Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. Journal of hospital medicine, 2(5), 314-323.
  7. Storla, D.G., Yimer, S., &Bjune, G.A. (2008). A systematic review of delay in thediagnosisand treatment of tuberculosis. BMC Public Health. 8:15 DOI 10.1186/147-2458/8/15
  8. Storla, D.G., Yimer, S., &Bjune, G.A. (2008). A systematic review of delay in thediagnosisand treatment of tuberculosis. BMC Public Health. 8:15 DOI 10.1186/147-2458/8/15
  9. Veen, J., Raviglione, M., Rieder, H.L., Miglior, G.B., Graf, P. Grzemska, M., &Zalesky, R. (1998).Standard tuberculosis treatment outcome monitoring in Europe.Euopean Respiratory Journal.12: 505-510. Doi 10.1183/09031936.98.12020505
  10. World Health Organisation (1997). Treatment of tuberculosis. Guidelines for National Programmes.(2nd edition). Geneva.
  11. National Tuberculosis Control Program (NTP) (2012). Training Manual. Accra, Ghana: Acts Commercials.
  12. Tadesse, T., Demissie, M., Berhane, Y., Kebede, Y., &Abebe, M. (2013). Long distance travelling and financial burdens discourage tuberculosis DOTs treatment initiation and compliance in Ethiopia: a qualitative study. BMC Public Health.13:424.
  13. Kolifarhood, G., Khorasani-Zavareh, D., Salarilak, S., Shoghli, A., & Khosravi, N. (2015). Spatial and non-spatial determinants of successful tuberculosis treatment outcomes: An implication of Geographical Information Systems in health policy-making in a developing country. Journal of epidemiology and global health, 5(3), 221-230.
  14. Clarke, K.C., McLafferty, S. L., &Tempalski, B.J. (1996). On epidemiology and geographic information systems: a review and discussion of future directions. Emerging infectious diseases.Vol. 2.No. 2. Page 85 – 92.
  15. Vine, M.F., Degnan, D., &Hanchette, C. (1997). Geographic information systems: their use in environmental epidemiologic research. Environmental health perspectives.Vol. 105, No. 6, page 598- 605.
  16. Gupta, R., &Shriram, R. (2004). Disease surveillance and monitoring using GIS. Map India conference. Retrieved from https://www.researchgate.net/publication/237721111_DISEASE_SURVEILLANCE_AND_MONITORING_USING_GIS on 12th November, 2017.
  17. Cromley, E. K., & McLafferty, S. L. (2011). GIS and public health: Guilford Press.
  18. Wise, J. A., Thomas, J. J., Pennock, K., Lantrip, D., Pottier, M., Schur, A., & Crow, V. (1995). Visualizing the non-visual: Spatial analysis and interaction with information from text documents. Paper presented at the Information Visualization, 1995. Proceedings
  19. Colantonio, A., Moldofsky, B., Escobar, M., Vernich, L., Chipman, M., & McLellan, B. (2011). Using geographical information systems mapping to identify areas presenting high risk for traumatic brain injury. Emerging themes in epidemiology, 8(1), 7.
  20. Mills, H. L., Cohen, T., & Colijn, C. (2011). Modelling the performance of isoniazidpreventive therapy for reducing tuberculosis in HIV endemic settings: the effects of network structure. Journal of the royal society interface, rsif20110160.
  21. Huang, B., Dignan, M., Han, D., & Johnson, O. (2009). Does distance matter? Distance to mammography facilities and stage at diagnosis of breast cancer in Kentucky. The Journal of Rural Health, 25(4), 366-371
  22. Li, D., Ge, E., Shen, X., & Wei, X. (2016). Risk factors of treatment outcomes for multi-drug resistant tuberculosis in Shanghai, 2009-2012. Procedia environmental sciences.36 (2016), 12-19. Doi 10.1016/j.proenv.2016.09.003
  23. Tanser, F., & Wilkinson, D. (1999). Spatial implications of the tuberculosis DOTs strategy in rural South Africa: a novel application of geographical information system and global positioning system technologies. Tropical medicine and international health.Volume 4, no.10, pp634-638.
  24. Muture, B.N., Keraka, M.N., Kimuu, P.K., Kabiru, E.W., Ombeka, V.O., &Oguya, F. (2011). Factors associated with default from treatment among tuberculosis patients in nairobi providence, Kenya: a case control study. BMC public health.11:969.
  25. Diefenbach-Elstob, T., Plummer, D., Dowi, R., Wamagi, S., Gula, B., Siwaeya, K., …Warner, J. (2017). The social determinants of tuberculosis treatment adherence in a remote region of Papua New Guinea.BMC Public Health.17: 70. Doi 10.1186/s12889-016-3935-7
  26. Deribew, A., Abebe, G., Apers, L., Jira, C., Tesfaye, M., Shifa, J., Bezabih, M. (2010). Prejudice and misconceptions about tuberculosis and HIV in rural and urban communities in Ethiopia: a challenge for the TB/HIV control program. BMC public health, 10(1), 400.
Index Terms

Computer Science
Information Sciences

Keywords

Tuberculosis distribution treatment outcomes spatiotemporal distribution GIS