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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...

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Autores principales: Singh Parihar, Ruchi, Bal, Prasanta Kumar, Kumar, Vaibhav, Mishra, Saroj Kanta, Sahany, Sandeep, Salunke, Popat, Dash, Sushil Kumar, Dhiman, Ramesh Chand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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.
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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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