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Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020)
Purulia is a malaria-prone district in West Bengal, India, with approximately half of the blocks defined as malaria endemic. We analyzed the malaria case in each block of the Purulia district from January 1, 2016, to December 31, 2020. As per the API, 20 blocks of Purulia were assigned to four diffe...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755807/ https://www.ncbi.nlm.nih.gov/pubmed/35022476 http://dx.doi.org/10.1038/s41598-021-04399-x |
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author | Pradhan, Sayantan Hore, Samrat Maji, Suman Kumar Manna, Simi Maity, Abhijit Kundu, Pratip Kumar Maity, Krishna Roy, Stabak Mitra, Saptarshi Dam, Paulami Mondal, Rittick Ghorai, Suvankar Jawed, Junaid Jibran Dutta, Subhadeep Das, Sandip Mandal, Sukhendu Mandal, Sanjib Kati, Ahmet Sinha, Sangram Maity, Amit Bikram Dolai, Tuphan Kanti Mandal, Amit Kumar İnce, İkbal Agah |
author_facet | Pradhan, Sayantan Hore, Samrat Maji, Suman Kumar Manna, Simi Maity, Abhijit Kundu, Pratip Kumar Maity, Krishna Roy, Stabak Mitra, Saptarshi Dam, Paulami Mondal, Rittick Ghorai, Suvankar Jawed, Junaid Jibran Dutta, Subhadeep Das, Sandip Mandal, Sukhendu Mandal, Sanjib Kati, Ahmet Sinha, Sangram Maity, Amit Bikram Dolai, Tuphan Kanti Mandal, Amit Kumar İnce, İkbal Agah |
author_sort | Pradhan, Sayantan |
collection | PubMed |
description | Purulia is a malaria-prone district in West Bengal, India, with approximately half of the blocks defined as malaria endemic. We analyzed the malaria case in each block of the Purulia district from January 1, 2016, to December 31, 2020. As per the API, 20 blocks of Purulia were assigned to four different categories (0–3) and mapped using ArcGIS software. An exponential decay model was fitted to forecast the trend of malaria cases for each block of Purulia (2021–2025). There was a sharp decrease in total malaria cases and API from 2016 to 2020 due to the mass distribution of LLINs. The majority of cases (72.63%) were found in ≥ 15-year age group. Males were more prone to malaria (60.09%). Malaria was highly prevalent among Scheduled Tribes (48.44%). Six blocks were reported in Category 3 (high risk) and none in Category 0 (no risk) in 2016, while no blocks were determined to be in Category 3, and three blocks were in Category 0 in 2020. The exponential decay model prediction is oriented towards gaining malaria-free status in thirteen blocks of Purulia by 2025. This study will incite the government to uphold and strengthen the current efforts to meet the malaria elimination goals. |
format | Online Article Text |
id | pubmed-8755807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87558072022-01-14 Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) Pradhan, Sayantan Hore, Samrat Maji, Suman Kumar Manna, Simi Maity, Abhijit Kundu, Pratip Kumar Maity, Krishna Roy, Stabak Mitra, Saptarshi Dam, Paulami Mondal, Rittick Ghorai, Suvankar Jawed, Junaid Jibran Dutta, Subhadeep Das, Sandip Mandal, Sukhendu Mandal, Sanjib Kati, Ahmet Sinha, Sangram Maity, Amit Bikram Dolai, Tuphan Kanti Mandal, Amit Kumar İnce, İkbal Agah Sci Rep Article Purulia is a malaria-prone district in West Bengal, India, with approximately half of the blocks defined as malaria endemic. We analyzed the malaria case in each block of the Purulia district from January 1, 2016, to December 31, 2020. As per the API, 20 blocks of Purulia were assigned to four different categories (0–3) and mapped using ArcGIS software. An exponential decay model was fitted to forecast the trend of malaria cases for each block of Purulia (2021–2025). There was a sharp decrease in total malaria cases and API from 2016 to 2020 due to the mass distribution of LLINs. The majority of cases (72.63%) were found in ≥ 15-year age group. Males were more prone to malaria (60.09%). Malaria was highly prevalent among Scheduled Tribes (48.44%). Six blocks were reported in Category 3 (high risk) and none in Category 0 (no risk) in 2016, while no blocks were determined to be in Category 3, and three blocks were in Category 0 in 2020. The exponential decay model prediction is oriented towards gaining malaria-free status in thirteen blocks of Purulia by 2025. This study will incite the government to uphold and strengthen the current efforts to meet the malaria elimination goals. Nature Publishing Group UK 2022-01-12 /pmc/articles/PMC8755807/ /pubmed/35022476 http://dx.doi.org/10.1038/s41598-021-04399-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pradhan, Sayantan Hore, Samrat Maji, Suman Kumar Manna, Simi Maity, Abhijit Kundu, Pratip Kumar Maity, Krishna Roy, Stabak Mitra, Saptarshi Dam, Paulami Mondal, Rittick Ghorai, Suvankar Jawed, Junaid Jibran Dutta, Subhadeep Das, Sandip Mandal, Sukhendu Mandal, Sanjib Kati, Ahmet Sinha, Sangram Maity, Amit Bikram Dolai, Tuphan Kanti Mandal, Amit Kumar İnce, İkbal Agah Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title | Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title_full | Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title_fullStr | Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title_full_unstemmed | Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title_short | Study of epidemiological behaviour of malaria and its control in the Purulia district of West Bengal, India (2016–2020) |
title_sort | study of epidemiological behaviour of malaria and its control in the purulia district of west bengal, india (2016–2020) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755807/ https://www.ncbi.nlm.nih.gov/pubmed/35022476 http://dx.doi.org/10.1038/s41598-021-04399-x |
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