Covid-19 Surveillance in Peru on April using a Social Network and Text Mining

Josimar Edinson Chire Saire, Jimy Frank Oblitas Cruz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2020 International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020
Pages45-49
Number of pages5
ISBN (Electronic)9781665423199
DOIs
StatePublished - Oct 2020
Event1st International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020 - Quito, Ecuador
Duration: 28 Oct 202030 Oct 2020

Publication series

NameProceedings - 2020 International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020

Conference

Conference1st International Conference of Digital Transformation and Innovation Technology, INCODTRIN 2020
Country/TerritoryEcuador
CityQuito
Period28/10/2030/10/20

Keywords

  • Coronavirus
  • Covid-19
  • Infodemiology
  • Infoveillance
  • Natural Language Processing
  • Pandemic
  • People behaviour
  • Public Health
  • Social Networks
  • Text Mining
  • Twitter

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