The Identification of Scientific Communities and Their Approach to Worldwide Malaria Research

José Antonio Garrido-Cardenas, Francisco Manzano-Agugliaro, Lilia González-Cerón, Francisco Gil-Montoya, Alfredo Alcayde-Garcia, Nuria Novas and Concepción Mesa-Valle
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José Antonio Garrido-Cardenas: Department of Biology and Geology, University of Almeria, 04120 Almeria, Spain
Francisco Manzano-Agugliaro: Department of Engineering, University of Almeria, CeiA3. 04120 Almeria, Spain
Lilia González-Cerón: Regional Center for Public Health Research, National Institute of Public Health, Tapachula 30700, Chiapas, Mexico
Francisco Gil-Montoya: Department of Engineering, University of Almeria, CeiA3. 04120 Almeria, Spain
Alfredo Alcayde-Garcia: Department of Engineering, University of Almeria, CeiA3. 04120 Almeria, Spain
Nuria Novas: Department of Engineering, University of Almeria, CeiA3. 04120 Almeria, Spain
Concepción Mesa-Valle: Department of Biology and Geology, University of Almeria, 04120 Almeria, Spain

IJERPH, 2018, vol. 15, issue 12, 1-14

Abstract: 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.

Keywords: malaria; vector; drug resistance; scientific community (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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