SOCIAL NETWORKS MONITORING TO IDENTIFY THE TRUST OF THE POPULATION TOWARDS COVID 19 VACCINE

[ 31 Mar 2021 | vol. 14 | no. 1 | pp. 1-10 ]

About Authors:

José Pecho1, Hugo Vega2, Ciro Rodríguez3, Yudi Guzmán4, Frank Escobedo5 and Oscar Benito6
-1,2,3,4,5,6National University Mayor de San Marcos, Lima, Perú

Abstract:

The research work consists of the implementation of a social network monitoring system that allows obtaining information in real-time from the population regarding vaccines and knowing their positive or negative opinion, this with the aim that public health professionals can take advantage of this information to develop communication strategies that resolve the doubts of the population, to increase the confidence of the people towards vaccines and achieve better vaccination rates in the vaccination programs carried out by the government. Currently, public health professionals are not very useful when communicating the benefits of vaccination to citizens, so many believe vaccines are unnecessary. The 34% of persons found to be unsafe and therefore would not be vaccinated. The use of a social media monitoring system allows knowing in real-time and geographical spaces the concerns of specific population sectors regarding vaccines. It helps the authorities establish more effective communication strategies that ensure a high level of confidence.

Keywords:

Social Networks, Monitoring System, Machine Learning, Natural Language Processing, Trust, Population, Vaccine

 

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