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 JTR  Vol.9 No.1 , March 2021
Geo-Spatial Mapping of Tuberculosis Burden in Anambra State, South-East Nigeria
Abstract: Background: Anambra state in south-east Nigeria is one of the high TB burden states in the country. Despite recent improvements in TB case notification, estimates from the National Prevalence survey suggest that there is still a significant pool of missed TB cases in the state. Although active TB case finding interventions are needed at community level, information on local TB transmission hotspots is lacking. The objective of this study was to map the geo-spatial location of all TB cases detected in the state in 2019. Findings from this secondary data analysis will help to target interventions appropriately with a view to achieving better program efficiency. Method: A de-identified dataset containing descriptive physical addresses of registered TB cases in 2019 was developed. The dataset was then deconstructed and restructured using Structured Query Language in a relational data base environment. The validated dataset was geocoded using ArcGIS server geocode service and validated using python geocoding toolbox, and Google geocoding API. The resultant geocoded dataset was subjected to geo-spatial analysis and the magnitude-per-unit area of the TB cases was calculated using the Kernel Density function. TB case notification rates were also calculated and Choropleth maps were plotted to portray the TB burden as contained in the dataset. Results: Five local government areas (LGAs) (Onitsha North, Onitsha South, Idemili North, Nnewi North, Ogbaru) had spots with “Extremely high” burden with two LGAs (Onitsha North and South) accounting for the largest spots. Eight LGAs had spots with “Very high” TB burden. Also, 24 hotspots across the state had High TB burden and two LGAs (Orumba North, Orumba South) had only “Low” TB burden areas. Conclusion: Visualizing the heat map of TB patients has helped to identify transmission hotspots that will be targeted for case finding interventions and effort should be made to increase sensitization of the people on certain behavioural attributes that may contribute to contracting Tuberculosis.
Cite this paper: Ugwu, C. , Chukwulobelu, U. , Igboekwu, C. , Emodi, N. , Anumba, J. , Ugwu, S. , Ezeobi, C. , Ibeziako, V. and Nwakaogor, G. (2021) Geo-Spatial Mapping of Tuberculosis Burden in Anambra State, South-East Nigeria. Journal of Tuberculosis Research, 9, 51-62. doi: 10.4236/jtr.2021.91004.
References

[1]   Yadav, S., Singh, P., Hemal, A. and Kumar, R. (2017) Genital Tuberculosis: Current Status of Diagnosis and Management. Translational Andrology and Urology, 6, 222.
https://doi.org/10.21037/tau.2016.12.04

[2]   Figueiredo, A.A., Lucon, A.M. and Srougi, M. (2017) Chapter 22. Urogenital Tuberculosis. In: Schlossberg, D., Ed., Tuberculosis and Nontuberculous Mycobacterial Infections, 7th Edition, Wiley, Hoboken, 355-370.
https://doi.org/10.1128/9781555819866.ch22

[3]   Rosado, E., Penha, D., Paixao, P. and Costa, A. (2013) Abdominal Tuberculosis: Imaging Findings. In: European Congress of Radiology, European Society of Radiology, Electronic Presentation Online System, 1-29.
https://dx.doi.org/10.1594/ecr2013/C-0549

[4]   Andrews, J.R., Noubary, F., Walensky, R.P., Cerda, R., Losina, E. and Horsburgh, C.R. (2012) Risk of Progression to Active Tuberculosis Following Reinfection with Mycobacterium tuberculosis. Clinical Infectious Diseases, 54, 784-791.
https://doi.org/10.1093/cid/cir951

[5]   Esmail, H., Barry, C.E., Young, D.B. and Wilkinson, R.J. (2014) The Ongoing Challenge of Latent Tuberculosis. Philosophical Transactions of the Royal Society B: Biological Sciences, 369, 20130437.
https://doi.org/10.1098/rstb.2013.0437

[6]   World Health Organization (2017) Tuberculosis Global Report.
http://www.who.int/

[7]   World Health Organization (2018) Global Tuberculosis Report. World Health Organization, Geneva.

[8]   Uplekar, M., Weil, D., Lonnroth, K., et al. (2015) WHO’s New End TB Strategy. The Lancet, 385, 1799-1801.
https://doi.org/10.1016/S0140-6736(15)60570-0

[9]   Kanabu, A. (2012) WHO TB Statistics, May 2012.
https://tbfacts.org/tb-statistics/

[10]   Cudahy, P.G.T., Andrews, J.R., Bilinski, A., et al. (2019) Spatially Targeted Screening to Reduce Tuberculosis Transmission in High-Incidence Settings. Lancet Infectious Disease, 19, E89-E95.
https://doi.org/10.1016/S1473-3099(18)30443-2

[11]   Dominkovics, P., Granell, C., Perez-Navarro, A., Casals, M., Orcau, A. and Cayla, J.A. (2011) Development of Spatial Density Maps Based on Geoprocessing Web Services: Application to Tuberculosis Incidence in Barcelona, Spain. International Journal of Health Geographics, 10, Article No. 62.
https://doi.org/10.1186/1476-072X-10-62

[12]   Beiranvand, R., Karimi, A., Delpisheh, A., Sayehmiri, K., Soleimani, S. and Ghalavandi, S. (2016) Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS). Iran Journal of Public Health, 45, 86-93.

[13]   Jasmer, R.M., Seaman, C.B., Gonzalez, L.C., Kawamura, L.M., Osmond, D.H. and Daley, C.L. (2004) Tuberculosis Treatment Outcomes: Directly Observed Therapy Compared with Self-Administered Therapy. American Journal of Respiratory and Critical Care Medicine, 170, 561-566.
https://doi.org/10.1164/rccm.200401-095OC

[14]   Dan-Nwafor, C., Ochu, C.L., Elimian, K., Oladejo, J., Ilori, E., Umeokonkwo, C., Steinhardt, L., Igumbor, E., Wagai, J., Okwor, T., Aderinola, O., et al. (2020) Nigeria’s Public Health Response to the COVID-19 Pandemic: January to May 2020. Journal of Global Health, 10, 020399.

[15]   Ibrahim, L.M., Hadejia, I.S., Nguku, P., Dankoli, R., Waziri, N.E., Akhimien, M.O., Ogiri, S., Oyemakinde, A., Dalhatu, I., Nwanyanwu, O. and Nsubuga, P. (2014) Factors Associated with Interruption of Treatment among Pulmonary Tuberculosis patients in Plateau State, Nigeria, 2011. Pan African Medical Journal, 17, Article 78.
https://doi.org/10.11604/pamj.2014.17.78.3464

[16]   Ukwaja, K.N., Modebe, O., Igwenyi, C. and Alobu, I. (2012) The Economic Burden of Tuberculosis Care for Patients and Households in Africa: A Systematic Review. The International Journal of Tuberculosis and Lung Disease, 16, 733-739.
https://doi.org/10.5588/ijtld.11.0193

[17]   Ukwaja, K.N., Alobu, I., Abimbola, S. and Hopewell, P.C. (2013) Household Catastrophic Payments for Tuberculosis Care in Nigeria: Incidence, Determinants, and Policy Implications for Universal Health Coverage. Infectious Diseases of Poverty, 2, Article No. 21.
https://doi.org/10.1186/2049-9957-2-21

[18]   Vishal, M., Rai, P. and Sharma, K. (2014) A Study of the Social Stigma of the Patients Receiving DOTS under RNTCP in Munger District of Bihar, India. International Journal of Infectious Diseases, 21, 300.
https://doi.org/10.1016/j.ijid.2014.03.1042

[19]   Data.
https://www.citypopulation.de/php/nigeria-admin.php?adm1id=NGA004

[20]   https://mycostoma.com/about-onitsha-market

[21]   Okoye, P.U., Ezeokoli, F.O. and Ugochukwu, J. (2015) Building Development Practice in Flood Prone Area: Case of Ogbaru Council Area of Anambra State Nigeria.

[22]   Onwuzuligbo, C., Nnam, V., Alozie, P. and Ejezie, E. (2017) Implementation of Social Tenure Domain Model in Okpoko, Anambra Stae, Nigeria.

[23]   Gunasekera, K.S., Zelner, J., Becerra, M.C., Contreras, C., Franke, M.F., Lecca, L., Murray, M.B., Warren, J.L. and Cohen, T. (2020) Children as Sentinels of Tuberculosis Transmission: Disease Mapping of Programmatic Data. BMC Medicine, 18, Article No. 234.
https://doi.org/10.1186/s12916-020-01702-x

[24]   Tiwari, N., Adhikari, C.M., Tewari, A. and Kandpal, V. (2006) Investigation of Geo-Spatial Hotspots for the Occurrence of Tuberculosis in Almora District, India, Using GIS and Spatial Scan Statistic. International Journal of Health Geographics, 5, Article No. 33.
https://doi.org/10.1186/1476-072X-5-33

 
 
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