Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783558161861443584 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7354776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vargasgarciacesar parasiteguestinfectionmodelingsocialscienceapplications AT lisgutierrezjennypaola parasiteguestinfectionmodelingsocialscienceapplications AT gaitanangulomercedes parasiteguestinfectionmodelingsocialscienceapplications AT lisgutierrezmelissa parasiteguestinfectionmodelingsocialscienceapplications |