The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research
It is essential to establish a pattern to detect the strengths and weaknesses of working groups publishing on malaria, to promote coordination to facilitate the eradication of the disease. Given the complexity of the scientific network of groups and institutions studying malaria, it is necessary to...
Main Authors: | , , , , , , |
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Format: | info:eu-repo/semantics/article |
Language: | English |
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MDPI
2020
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Online Access: | http://hdl.handle.net/10835/7541 |
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author | Garrido Cárdenas, José Antonio Manzano Agugliaro, Francisco González Cerón, Lilia Gil Montoya, Francisco Alcayde García, Alfredo Novas Castellano, Nuria Mesa Valle, Concepción |
author_facet | Garrido Cárdenas, José Antonio Manzano Agugliaro, Francisco González Cerón, Lilia Gil Montoya, Francisco Alcayde García, Alfredo Novas Castellano, Nuria Mesa Valle, Concepción |
author_sort | Garrido Cárdenas, José Antonio |
collection | DSpace |
description | It is essential to establish a pattern to detect the strengths and weaknesses of working groups publishing on malaria, to promote coordination to facilitate the eradication of the disease. Given the complexity of the scientific network of groups and institutions studying malaria, it is necessary to use a mathematical algorithm that allows us to know the real structure of research on the disease in the world. In this work, articles with the word “malaria” in the title or author keywords gathered from Elsevier Scopus database were analyzed. By means of specific software, graphs were created. The analysis of the data allowed established different scientific communities, among which two were very diverse: one formed by those groups concerned about the vector transmission and control, and another one focused on the drug resistance of the parasite. Basic, applied, and operational research to eradicate malaria is an ambitious goal of the international institutions and the scientific community. The combination of effort and the establishment of a worldwide-scientific network that allows an effective interconnection (exchange) of knowledge, infrastructure technology, collaborators, financial resources, and datasets will contribute more effectively to end the disease. |
format | info:eu-repo/semantics/article |
id | oai:repositorio.ual.es:10835-7541 |
institution | Universidad de Cuenca |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | dspace |
spelling | oai:repositorio.ual.es:10835-75412023-04-12T19:28:10Z The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research Garrido Cárdenas, José Antonio Manzano Agugliaro, Francisco González Cerón, Lilia Gil Montoya, Francisco Alcayde García, Alfredo Novas Castellano, Nuria Mesa Valle, Concepción malaria vector drug resistance scientific community It is essential to establish a pattern to detect the strengths and weaknesses of working groups publishing on malaria, to promote coordination to facilitate the eradication of the disease. Given the complexity of the scientific network of groups and institutions studying malaria, it is necessary to use a mathematical algorithm that allows us to know the real structure of research on the disease in the world. In this work, articles with the word “malaria” in the title or author keywords gathered from Elsevier Scopus database were analyzed. By means of specific software, graphs were created. The analysis of the data allowed established different scientific communities, among which two were very diverse: one formed by those groups concerned about the vector transmission and control, and another one focused on the drug resistance of the parasite. Basic, applied, and operational research to eradicate malaria is an ambitious goal of the international institutions and the scientific community. The combination of effort and the establishment of a worldwide-scientific network that allows an effective interconnection (exchange) of knowledge, infrastructure technology, collaborators, financial resources, and datasets will contribute more effectively to end the disease. 2020-01-17T10:24:29Z 2020-01-17T10:24:29Z 2018-11-30 info:eu-repo/semantics/article 1660-4601 http://hdl.handle.net/10835/7541 en https://www.mdpi.com/1660-4601/15/12/2703 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
spellingShingle | malaria vector drug resistance scientific community Garrido Cárdenas, José Antonio Manzano Agugliaro, Francisco González Cerón, Lilia Gil Montoya, Francisco Alcayde García, Alfredo Novas Castellano, Nuria Mesa Valle, Concepción The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title | The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title_full | The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title_fullStr | The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title_full_unstemmed | The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title_short | The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research |
title_sort | identification of scientific communities and their approach to worldwide malaria research |
topic | malaria vector drug resistance scientific community |
url | http://hdl.handle.net/10835/7541 |
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