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Parasite-Guest Infection Modeling: Social Science Applications

In this study we argue that parasite-host infections are a major research topic because of their implications for human health, agriculture and wildlife. The evolution of infection mechanisms is a research topic in areas such as virology and ecology. Mathematical modelling has been an essential tool...

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Autores principales: Vargas-García, Cesar, Lis-Gutiérrez, Jenny Paola, Gaitán-Angulo, Mercedes, Lis-Gutiérrez, Melissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354776/
http://dx.doi.org/10.1007/978-3-030-53956-6_55
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author Vargas-García, Cesar
Lis-Gutiérrez, Jenny Paola
Gaitán-Angulo, Mercedes
Lis-Gutiérrez, Melissa
author_facet Vargas-García, Cesar
Lis-Gutiérrez, Jenny Paola
Gaitán-Angulo, Mercedes
Lis-Gutiérrez, Melissa
author_sort Vargas-García, Cesar
collection PubMed
description In this study we argue that parasite-host infections are a major research topic because of their implications for human health, agriculture and wildlife. The evolution of infection mechanisms is a research topic in areas such as virology and ecology. Mathematical modelling has been an essential tool to obtain a better systematic and quantitative understanding of the processes of parasitic infection that are difficult to discern through strictly experimental approaches. In this article we review recent attempts using mathematical models to discriminate and quantify these infection mechanisms. We also emphasize the challenges that these models could bring to new fields of study such as social sciences and economics.
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spelling pubmed-73547762020-07-13 Parasite-Guest Infection Modeling: Social Science Applications Vargas-García, Cesar Lis-Gutiérrez, Jenny Paola Gaitán-Angulo, Mercedes Lis-Gutiérrez, Melissa Advances in Swarm Intelligence Article In this study we argue that parasite-host infections are a major research topic because of their implications for human health, agriculture and wildlife. The evolution of infection mechanisms is a research topic in areas such as virology and ecology. Mathematical modelling has been an essential tool to obtain a better systematic and quantitative understanding of the processes of parasitic infection that are difficult to discern through strictly experimental approaches. In this article we review recent attempts using mathematical models to discriminate and quantify these infection mechanisms. We also emphasize the challenges that these models could bring to new fields of study such as social sciences and economics. 2020-06-22 /pmc/articles/PMC7354776/ http://dx.doi.org/10.1007/978-3-030-53956-6_55 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Vargas-García, Cesar
Lis-Gutiérrez, Jenny Paola
Gaitán-Angulo, Mercedes
Lis-Gutiérrez, Melissa
Parasite-Guest Infection Modeling: Social Science Applications
title Parasite-Guest Infection Modeling: Social Science Applications
title_full Parasite-Guest Infection Modeling: Social Science Applications
title_fullStr Parasite-Guest Infection Modeling: Social Science Applications
title_full_unstemmed Parasite-Guest Infection Modeling: Social Science Applications
title_short Parasite-Guest Infection Modeling: Social Science Applications
title_sort parasite-guest infection modeling: social science applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7354776/
http://dx.doi.org/10.1007/978-3-030-53956-6_55
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