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Original Article



Detection of tuberculosis hotspots using spatial interpolation method in Mysuru district, Karnataka

Rakshitha N Rani, Talluri K R Rameshwari, Sumana Kumar.




Abstract
Cited by 0 Articles

Identification of tuberculosis (TB) affected sectors always keeps a check over the transmission in urban regions. Despite adequate therapy, the rate of infection is constant for decades in these regions. Information in residential address and identified TB affected sectors need accordance as per the studies by the researchers. In particular, as an intervention method, geographic information system (GIS) tools on TB epidemiology reveal significant geographical heterogeneity of TB spread in the region. The heterogeneous TB patterns in the local region is due to the person to person disease spread. Due to ongoing person-to-person transmission, TB represents heterogeneous spatial patterns with the local aggregation of cases. Many studies on the combination of TB patients based on their residential address and TB infection sites lack accordance. This study aimed to identify TB incidence using the geospatial features in the reported cases of Mysuru district, in Karnataka. The TB spatial epidemiology in Mysuru district was aimed in a defined geographical area which was deciphered by application of GIS (ArcGIS 10.2.2 demo version) with inverse distance weighted interpolation technique. Based on the reported cases, hotspots reveal, the uneven distribution of TB cases was noticed in Mysuru district. Incidence based spatial analysis suggested possible TB transmission sites and its dynamics in urban areas of Mysuru. Implementing these strategies could be useful for detecting the distribution of TB that can be targeted for screening and initiating the treatment regimen which interrupts the transmission and reduces TB incidence.

Key words: Tuberculosis, Incidence, Geospatial interpolation method, inverse distance weighted, Hotspots.






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