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Mathematical modeling in perspective of vector-borne viral infections: a review
BACKGROUND: Viral diseases are highly widespread infections caused by viruses. These viruses are passing from one human to other humans through a certain medium. The medium might be mosquito, animal, reservoir and food, etc. Here, the population of both human and mosquito vectors are important. MAIN...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388993/ https://www.ncbi.nlm.nih.gov/pubmed/36000145 http://dx.doi.org/10.1186/s43088-022-00282-4 |
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author | Prasad, Ramakant Sagar, Surendra Kumar Parveen, Shama Dohare, Ravins |
author_facet | Prasad, Ramakant Sagar, Surendra Kumar Parveen, Shama Dohare, Ravins |
author_sort | Prasad, Ramakant |
collection | PubMed |
description | BACKGROUND: Viral diseases are highly widespread infections caused by viruses. These viruses are passing from one human to other humans through a certain medium. The medium might be mosquito, animal, reservoir and food, etc. Here, the population of both human and mosquito vectors are important. MAIN BODY OF THE ABSTRACT: The main objectives are here to introduce the historical perspective of mathematical modeling, enable the mathematical modeler to understand the basic mathematical theory behind this and present a systematic review on mathematical modeling for four vector-borne viral diseases using the deterministic approach. Furthermore, we also introduced other mathematical techniques to deal with vector-borne diseases. Mathematical models could help forecast the infectious population of humans and vectors during the outbreak. SHORT CONCLUSION: This study will be helpful for mathematical modelers in vector-borne diseases and ready-made material in the review for future advancement in the subject. This study will not only benefit vector-borne conditions but will enable ideas for other illnesses. |
format | Online Article Text |
id | pubmed-9388993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-93889932022-08-19 Mathematical modeling in perspective of vector-borne viral infections: a review Prasad, Ramakant Sagar, Surendra Kumar Parveen, Shama Dohare, Ravins Beni Suef Univ J Basic Appl Sci Review BACKGROUND: Viral diseases are highly widespread infections caused by viruses. These viruses are passing from one human to other humans through a certain medium. The medium might be mosquito, animal, reservoir and food, etc. Here, the population of both human and mosquito vectors are important. MAIN BODY OF THE ABSTRACT: The main objectives are here to introduce the historical perspective of mathematical modeling, enable the mathematical modeler to understand the basic mathematical theory behind this and present a systematic review on mathematical modeling for four vector-borne viral diseases using the deterministic approach. Furthermore, we also introduced other mathematical techniques to deal with vector-borne diseases. Mathematical models could help forecast the infectious population of humans and vectors during the outbreak. SHORT CONCLUSION: This study will be helpful for mathematical modelers in vector-borne diseases and ready-made material in the review for future advancement in the subject. This study will not only benefit vector-borne conditions but will enable ideas for other illnesses. Springer Berlin Heidelberg 2022-08-19 2022 /pmc/articles/PMC9388993/ /pubmed/36000145 http://dx.doi.org/10.1186/s43088-022-00282-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Review Prasad, Ramakant Sagar, Surendra Kumar Parveen, Shama Dohare, Ravins Mathematical modeling in perspective of vector-borne viral infections: a review |
title | Mathematical modeling in perspective of vector-borne viral infections: a review |
title_full | Mathematical modeling in perspective of vector-borne viral infections: a review |
title_fullStr | Mathematical modeling in perspective of vector-borne viral infections: a review |
title_full_unstemmed | Mathematical modeling in perspective of vector-borne viral infections: a review |
title_short | Mathematical modeling in perspective of vector-borne viral infections: a review |
title_sort | mathematical modeling in perspective of vector-borne viral infections: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388993/ https://www.ncbi.nlm.nih.gov/pubmed/36000145 http://dx.doi.org/10.1186/s43088-022-00282-4 |
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