Original Article

Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS)

Abstract

Background: Tuberculosis (TB) spread pattern is influenced by geographic and social factors. Nowadays Geographic Information System (GIS) is one of the most important epidemiological instrumentation identifying high-risk population groups and geographic areas of TB. The aim of this study was to determine the correlation between climate and geographic distribution of TB in Khuzestan Province using GIS during 2005-2012.

Methods: Through an ecological study, all 6363 patients with definite diagnosis of TB from 2005 until the end of September 2012 in Khuzestan Province, southern Iran were diagnosed. Data were recorded using TB- Register software. Tuberculosis incidence based on the climate and the average of annual rain was evaluated using GIS. Data were analyzed through SPSS software. Independent t-test, ANOVA, Linear regression, Pearson and Eta correlation coefficient with a significance level of less than 5% were used for the statistical analysis.

Results: The TB incidence was different in various geographic conditions. The highest mean of TB cumulative incidence rate was observed in extra dry areas (P= 0.017). There was a significant inverse correlation between annual rain rate and TB incidence rate (R= -0.45, P= 0.001). The lowest TB incidence rate (0-100 cases per 100,000) was in areas with the average of annual rain more than 1000 mm (P= 0.003).

Conclusion: The risk of TB has a strong relationship with climate and the average of annual rain, so that the risk of TB in areas with low annual rainfall and extra dry climate is more than other regions. Services and special cares to high-risk regions of TB are recommended.

Beiranvand R, Ghalavandi SH, Delpisheh A, Sayemiri K, Karimi A (2014). Epidemiological investigation of Tuberculosis in Ilam province during 2005-2012. Sci J Ilam Uni Med Sci, 21(7): 1-8.

Dye C, Scheele S, Dolin P, Pathania V, Raviglione MC (1999). Global burden of tuberculosis: estimated incidence, prevalence, and mortality by country: WHO Global Surveillance and Monitoring Project. JAMA, 282: 677-86.

Global and regional incidence, Tuberculosis Fact sheet N°104, WHO, March 2006, Retrieved on 6 October 2006. Available from: http://www.who.int/mediacentre/factsheets/fs104/en/index.html.

Health Protection Agency. Epidemiology – Tuberculosis. URL. Available from: http://www.hpa.org.uk/infections/topics_az/tb/epidemiology/table8.htm.

Jabari Sh (2007). Statistic department of Markazi health center. Sci J Arak Uni Med Sci :4-14.

World Health Organization. Global Health Observatory (GHO)DATA. URL. Available form: http://www.who.int/gho/tb/en/.

Zaragoza Bastida A, Hernández Tellez M, Bustamante Montes LP, Medina Torres I, Jaramillo Paniagua JN, Mendoza Martínez GD, et al. (2012). Spatial and temporal distribution of tuberculosis in the State of Mexico, Mexico. Sci World J :570278. doi: 10.1100/2012/570278

Amani F, Boshiri J, Sabzevari A, Garosi B, Nahan moghadam N (2007). Investigate the epidemiology of tuberculosis in the ardabil city in years 2002-2005. J Ardabil Uni Med Sci, 7(3): 236-41.

The PanAmerican Health Organization (1996). Use of GIS in epidemiology. Epidemiol Bulletin, 17 (1): 1 – 7.

Elliott P, Cuzik J, English D, Stern R (1996). Geographical & environmental epidemiology. first edition. England: Oxford Uni Press.

Rezaeian M, Dunn G, St Leger S, Appleby L (2007). Geographical epidemiology, spatial analysis & geographical information system: a multidisciplinary glossary. J Epidemiol Community Health, 61 (2): 98-102.

Arnof A (1996). Geographical Information Systems Management. First Edition .Translate by National Cartographic Center. National Cartographic Center printer, pp:1-17.

Safe A, Rashidi M, Rouzbahani R, Dehdashti NS, Poursafa P (2012). Application of GIS in Strategic Medical Research for Disease Prevention. J Isfahan Med School, 29(164): 1-7.

Hassan AN, Kenawy MA, Kamal H, et al. (2003). GIS-based prediction of malaria risk in Egypt. East Mediterr Health J, 9(4):548- 58.

Sharma VP, Srivastava A (1997). Role of geographic information system in malaria control. Indian J Med Res, 106: 198- 204.

Tanser FC, Le Sueur D (2002). The application of geographical information systems to important public health problems in Africa. Int J Health Geogr, 1:4. doi: 10.1186/1476-072X-1-4.

Excerpt of General Population and Housing census results. Statistical Center of Iran. 2006.URL. http://www.amar.org.ir.

Excerpt of General Population and Housing census results. Statistical Center of Iran. 2011.URL. http://www.amar.org.ir.

Beiranvand R, Delpisheh A, Solymani S, Sayehmiri K, Weysi K, Ghalavandi SH (2014). Assessment of Tuberculosis distribution by geographical information system in Khuzestan province: a brief report. Tehran Uni Med J, 72(6):417-22.

Raiesi R, Baiati A, Karami J, Sarkaregar-Ardakani A, Katorani Sh, Ramezannezhad P, et al. (2013). Spatial distribution of multiple sclerosis disease in Chaharmahalva Bakhtiari province in 20-year period. J Shahrekord Uni Med Sci, 15(4):73-82.

Moonan P K, Bayona M, Quitugua T N, Oppong J, Dunbar D, Kenneth C, et al. (2004). Using GIS technology to identify areas of tuberculosis transmission and incidence. Int J Health Geographics, 3:23. doi: 10.1186/1476-072X-3-23.

Gavin K, Hawthorne G, Turner AM, Kunst H, Dedicoat M (2013). Tuberculosis Incidence Correlates with Sunshine: An Ecological 28-Year Time Series Study. Plos One J, 8(3): e57752. doi: 10.1371/journal.pone.

Files
IssueVol 45 No 1 (2016) QRcode
SectionOriginal Article(s)
Keywords
Annual rain Climatic processes Geographic information systems Tuberculosis

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
1.
BEIRANVAND R, KARIMI A, DELPISHEH A, SAYEHMIRI K, SOLEIMANI S, GHALAVANDI S. Correlation Assessment of Climate and Geographic Distribution of Tuberculosis Using Geographical Information System (GIS). Iran J Public Health. 2016;45(1):86-93.