Covid19 Surveillance in Peru on April using Text Mining
Abstract
The present outbreak as consequence by coronavirus covid19 has generated an big impact over the world. South American countries had their own limitations, challengues and pandemic has highlighted what needs to improve. Peru is a country with good start with quarantine, social distancing policies but the policies was not enough during the weeks. So, the analysis over April is performed through infoveillance using posts from different cities to analyze what population was living or worried during this month. Results presents a high concern about international context, and national situation, besides Economy and Politics are issues to solve. By constrast, Religion and Transport are not very important for peruvian citizens.
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