Indian Journal of Science and Technology

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Modeling the Spatial Variogram of Tuberculosis for Chennai Ward in India


Affiliations
1 Tuberculosis Research Centre, ICMR, Chennai – 600 031, India
 

In this paper, we have used statistical measures and spatial deviational ellipse to determine the spatial pattern of tuberculosis within a Chennai ward population to gain insight into the disease spread. Variogram is used to describe the spatial dependence of tuberculosis in Chennai wards and it is compared with theoretical variogram model of spherical, Gaussian and exponential fitted to tuberculosis data. Arc View GIS 9.2 and SAS software were used for spatial analysis of tuberculosis spread. Data were obtained from District Hospital records for Chennai wards. The results of the spatial pattern revealed that the spread of tuberculosis in Chennai wards have been diverse, with many wards having a low rate of infection and the epidemic being most extreme in slum areas. Variogram increases with distance at small distances and then level off which implies spatial dependence exists between small distance of tuberculosis cases. Spherical model fits data better. Spatial analysis is proved to be more useful for studying spread of tuberculosis analysis and modeling of disease analysis.

Keywords

Bayesian, Disease Mapping, Variogram, Spatial Correlation And Deviational Ellipse
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  • Modeling the Spatial Variogram of Tuberculosis for Chennai Ward in India

Abstract Views: 469  |  PDF Views: 124

Authors

P. Venkatesan
Tuberculosis Research Centre, ICMR, Chennai – 600 031, India
R. Srinivasan
Tuberculosis Research Centre, ICMR, Chennai – 600 031, India

Abstract


In this paper, we have used statistical measures and spatial deviational ellipse to determine the spatial pattern of tuberculosis within a Chennai ward population to gain insight into the disease spread. Variogram is used to describe the spatial dependence of tuberculosis in Chennai wards and it is compared with theoretical variogram model of spherical, Gaussian and exponential fitted to tuberculosis data. Arc View GIS 9.2 and SAS software were used for spatial analysis of tuberculosis spread. Data were obtained from District Hospital records for Chennai wards. The results of the spatial pattern revealed that the spread of tuberculosis in Chennai wards have been diverse, with many wards having a low rate of infection and the epidemic being most extreme in slum areas. Variogram increases with distance at small distances and then level off which implies spatial dependence exists between small distance of tuberculosis cases. Spherical model fits data better. Spatial analysis is proved to be more useful for studying spread of tuberculosis analysis and modeling of disease analysis.

Keywords


Bayesian, Disease Mapping, Variogram, Spatial Correlation And Deviational Ellipse

References





DOI: https://doi.org/10.17485/ijst%2F2010%2Fv3i2%2F29671