GIS Based Mapping and Spatial Distribution of Tuberculosis in Punjab, Pakistan
Received Date: Mar 22, 2021 / Accepted Date: Apr 05, 2021 / Published Date: Apr 12, 2021
Abstract
Tuberculosis (TB) is known as a disease that prone to spatial clustering. Recent development has seen a sharp rise in the number of epidemiologic studies employing Geographical Information System (GIS), particularly in identifying TB clusters and evidences of etiologic factors. This retrospective population-based study was conducted to analyze spatial patterns of TB incidence in Punjab province, Pakistan. TB notification data from 2007 to 2017 collected from TB clinics throughout the province was used along with population data to reveal a descriptive epidemiology of TB incidences. Spatial distribution of the disease was observed by using ArcGis. Machine learning algorithms like ANN, SVM and Maximum Entropy were used to predict the presence of the disease with a prediction power of 82%, 75% and 78% respectively. This study has also shown a heterogeneous pattern of the disease over the years with some consistently high risked areas. This study can be very helpful for policy makers to refine their policies for successful eradication of the disease.
Keywords: Tuberculosis; Geographical information system; Spatial distribution; Ecological niche modelling
Citation: Khaliq A, Chaudhry MN, Sajid MA, Ashraf U, Aleem R, et al. (2021) GIS Based Mapping and Spatial Distribution of Tuberculosis in Punjab, Pakistan. Epidemiol Sci 11: 402.
Copyright: © 2021 Khaliq A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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