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Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia
INTRODUCTION: Malaria is a disease with a high impact on Colombian population, which must be approached from the point of view of teamwork of institutions for knowledge exchange. OBJECTIVE: To analyze the interactions of the Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de C...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Instituto Nacional de Salud
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815481/ https://www.ncbi.nlm.nih.gov/pubmed/36511667 http://dx.doi.org/10.7705/biomedica.6596 |
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author | Jiménez-Manjarrés, Mayra Santana, Diana M. Olivera, Mario J. Poveda, Luz Stella Cantor- Castañeda-Orjuela, Carlos A. |
author_facet | Jiménez-Manjarrés, Mayra Santana, Diana M. Olivera, Mario J. Poveda, Luz Stella Cantor- Castañeda-Orjuela, Carlos A. |
author_sort | Jiménez-Manjarrés, Mayra |
collection | PubMed |
description | INTRODUCTION: Malaria is a disease with a high impact on Colombian population, which must be approached from the point of view of teamwork of institutions for knowledge exchange. OBJECTIVE: To analyze the interactions of the Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia. MATERIALS AND METHODS: An analysis of social networks was applied that allowed identifying the proximity between actors and the degree of knowledge between them. Indicators of density, diameter, average distance, and degree of centrality were observed. The documentary corpus for the study consisted of 193 technical documents published between 2016 and 2021, which were analyzed using text mining using the R programming language. The network was categorized based on five variables: comprehensive patient care, diagnosis, epidemiology and health information analysis systems, public policy and promotion and prevention. RESULTS: The analysis of interactions indicated that the network was made up by 99 actors. The main interest in knowledge production was on epidemiology and health information analysis systems (98 % of the actors), followed by the integral patient care (80 % of the actors). On the contrary, the least approached category was malaria promotion and prevention practices (54 % of the actors). CONCLUSIONS: In general, this study contributes to the strengthening of key strategies in the dissemination of knowledge about malaria in Colombia. |
format | Online Article Text |
id | pubmed-9815481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Instituto Nacional de Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-98154812023-01-09 Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia Jiménez-Manjarrés, Mayra Santana, Diana M. Olivera, Mario J. Poveda, Luz Stella Cantor- Castañeda-Orjuela, Carlos A. Biomedica Artículo Original INTRODUCTION: Malaria is a disease with a high impact on Colombian population, which must be approached from the point of view of teamwork of institutions for knowledge exchange. OBJECTIVE: To analyze the interactions of the Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia. MATERIALS AND METHODS: An analysis of social networks was applied that allowed identifying the proximity between actors and the degree of knowledge between them. Indicators of density, diameter, average distance, and degree of centrality were observed. The documentary corpus for the study consisted of 193 technical documents published between 2016 and 2021, which were analyzed using text mining using the R programming language. The network was categorized based on five variables: comprehensive patient care, diagnosis, epidemiology and health information analysis systems, public policy and promotion and prevention. RESULTS: The analysis of interactions indicated that the network was made up by 99 actors. The main interest in knowledge production was on epidemiology and health information analysis systems (98 % of the actors), followed by the integral patient care (80 % of the actors). On the contrary, the least approached category was malaria promotion and prevention practices (54 % of the actors). CONCLUSIONS: In general, this study contributes to the strengthening of key strategies in the dissemination of knowledge about malaria in Colombia. Instituto Nacional de Salud 2022-12-01 /pmc/articles/PMC9815481/ /pubmed/36511667 http://dx.doi.org/10.7705/biomedica.6596 Text en https://creativecommons.org/licenses/by/4.0/Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons |
spellingShingle | Artículo Original Jiménez-Manjarrés, Mayra Santana, Diana M. Olivera, Mario J. Poveda, Luz Stella Cantor- Castañeda-Orjuela, Carlos A. Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title | Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title_full | Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title_fullStr | Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title_full_unstemmed | Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title_short | Análisis de las interacciones entre los actores de la Red de Gestión del Conocimiento, Investigación e Innovación en Malaria de Colombia |
title_sort | análisis de las interacciones entre los actores de la red de gestión del conocimiento, investigación e innovación en malaria de colombia |
topic | Artículo Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815481/ https://www.ncbi.nlm.nih.gov/pubmed/36511667 http://dx.doi.org/10.7705/biomedica.6596 |
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