Assessing the prevalence of water borne diseases in Muktsar district of Punjab, India
| dc.contributor.author | Singh, Amritpal | |
| dc.contributor.author | Guite, L.T. Sasang | |
| dc.date.accessioned | 2024-01-21T10:51:49Z | |
| dc.date.accessioned | 2024-08-14T06:47:32Z | |
| dc.date.available | 2024-01-21T10:51:49Z | |
| dc.date.available | 2024-08-14T06:47:32Z | |
| dc.date.issued | 2022-03-01T00:00:00 | |
| dc.description.abstract | Water related diseases are a worldwide concern and the Muktsar district in Punjab is no exception, where, apart from typhoid; malaria and dengue are the two emerging water borne diseases in recent years as experienced during 2013-2017. The changing disease ecology within the district is of great concern for the population at risk and the most vulnerable, as the study shows a large number of cases reported in the working population in the age group of 20-49. The study identifies the hotspots of malaria and dengue using Kernel Density Estimation and Inverse Distance Weighting (IDW) interpolation that shows the northern part of the district is at higher risk of disease diffusion and higher concentration of infectious diseases. � 2022 Institute of Indian Geographers. All rights reserved. | en_US |
| dc.identifier.issn | 9709851 | |
| dc.identifier.uri | https://kr.cup.edu.in/handle/32116/4080 | |
| dc.identifier.url | https://iigeo.org/wp-content/uploads/2022/06/P1_Sasang.pdf | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Institute of Indian Geographers | en_US |
| dc.subject | Inverse Distance Weighting (IDW) Interpolation. | en_US |
| dc.subject | Kernel Density Estimation | en_US |
| dc.subject | Water-borne disease | en_US |
| dc.title | Assessing the prevalence of water borne diseases in Muktsar district of Punjab, India | en_US |
| dc.title.journal | Transactions of the Institute of Indian Geographers | en_US |
| dc.type | Article | en_US |
| dc.type.accesstype | Closed Access | en_US |