Infoveillance to Analyze Covid19 Impact on Central America Population

Infoveillance is an application within the Infodemiology field with the aim of monitoring public health and create public policies. Latin American countries have a different context about economics and health, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical during the COVID-19 pandemic. The aim of this paper is to illustrate how data generated through Twitter can be used to help the implementation of strategies to address pandemic emergence in countries with Spanish as a native language in Central America by using a Text Mining Approach with Twitter as a data source in the capital of those countries.