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Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India
Using a dynamical model (VECTRI) for malaria transmission that accounts for the influence of population and climatic conditions, malaria transmission dynamics is investigated for a highly endemic region (state of Odisha) in India. The model is first calibrated over the region, and subsequently numer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695379/ https://www.ncbi.nlm.nih.gov/pubmed/31417099 http://dx.doi.org/10.1038/s41598-019-47212-6 |
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author | Singh Parihar, Ruchi Bal, Prasanta Kumar Kumar, Vaibhav Mishra, Saroj Kanta Sahany, Sandeep Salunke, Popat Dash, Sushil Kumar Dhiman, Ramesh Chand |
author_facet | Singh Parihar, Ruchi Bal, Prasanta Kumar Kumar, Vaibhav Mishra, Saroj Kanta Sahany, Sandeep Salunke, Popat Dash, Sushil Kumar Dhiman, Ramesh Chand |
author_sort | Singh Parihar, Ruchi |
collection | PubMed |
description | Using a dynamical model (VECTRI) for malaria transmission that accounts for the influence of population and climatic conditions, malaria transmission dynamics is investigated for a highly endemic region (state of Odisha) in India. The model is first calibrated over the region, and subsequently numerical simulations are carried out for the period 2000–2013. Using both model and observations we find that temperature, adult mosquito population, and infective biting rates have increased over this period, and the malaria vector abundance is higher during the summer monsoon season. Regionally, the intensity of malaria transmission is found to be higher in the north, central and southern districts of Odisha where the mosquito populations and the number of infective bites are more and mainly in the forest or mountainous ecotypes. We also find that the peak of the malaria transmission occurs when the monthly mean temperature is in the range of ~28–29 °C, and monthly rainfall accumulation in the range of ~200–360 mm. |
format | Online Article Text |
id | pubmed-6695379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66953792019-08-19 Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India Singh Parihar, Ruchi Bal, Prasanta Kumar Kumar, Vaibhav Mishra, Saroj Kanta Sahany, Sandeep Salunke, Popat Dash, Sushil Kumar Dhiman, Ramesh Chand Sci Rep Article Using a dynamical model (VECTRI) for malaria transmission that accounts for the influence of population and climatic conditions, malaria transmission dynamics is investigated for a highly endemic region (state of Odisha) in India. The model is first calibrated over the region, and subsequently numerical simulations are carried out for the period 2000–2013. Using both model and observations we find that temperature, adult mosquito population, and infective biting rates have increased over this period, and the malaria vector abundance is higher during the summer monsoon season. Regionally, the intensity of malaria transmission is found to be higher in the north, central and southern districts of Odisha where the mosquito populations and the number of infective bites are more and mainly in the forest or mountainous ecotypes. We also find that the peak of the malaria transmission occurs when the monthly mean temperature is in the range of ~28–29 °C, and monthly rainfall accumulation in the range of ~200–360 mm. Nature Publishing Group UK 2019-08-15 /pmc/articles/PMC6695379/ /pubmed/31417099 http://dx.doi.org/10.1038/s41598-019-47212-6 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Singh Parihar, Ruchi Bal, Prasanta Kumar Kumar, Vaibhav Mishra, Saroj Kanta Sahany, Sandeep Salunke, Popat Dash, Sushil Kumar Dhiman, Ramesh Chand Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title | Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title_full | Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title_fullStr | Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title_full_unstemmed | Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title_short | Numerical Modeling of the Dynamics of Malaria Transmission in a Highly Endemic Region of India |
title_sort | numerical modeling of the dynamics of malaria transmission in a highly endemic region of india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695379/ https://www.ncbi.nlm.nih.gov/pubmed/31417099 http://dx.doi.org/10.1038/s41598-019-47212-6 |
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