Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network

Josimar E.Chire Saire, Jimy Frank Oblitas Cruz

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

Abstract

The actual outbreak generated by SARS-CoV-2, presented a challenge to the governments because PublicS Health, Economy, and Society are different in every country so actions must fit considering these previous conditions. South America is a region with developing countries, limitations, problems and the pandemic highlighted them. Peru is a country with good initial policies to contain the pandemic, a lockdown started on March 15 and lasted more than 100 days. By consequence, people were forced to change daily activities and of course, social and mental problems started to grow. The actual study wants to identify the covid-19 impact on the Social Network, Twitter filtering posts related to the topic. The initial findings present a high interest in the topic during the first week and a decreasing pattern in the last weeks.

Original languageEnglish
Title of host publicationInformation Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
EditorsJuan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
Pages471-483
Number of pages13
DOIs
StatePublished - 2021
Event7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online
Duration: 1 Oct 20203 Oct 2020

Publication series

NameCommunications in Computer and Information Science
Volume1410 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference7th Annual International Conference on Information Management and Big Data, SIMBig 2020
CityVirtual, Online
Period1/10/203/10/20

Keywords

  • Coronavirus
  • Covid-19
  • Latin America
  • Natural language processing
  • Pandemic
  • People behaviour
  • Peru
  • Social network
  • South America
  • Text mining
  • Twitter

Fingerprint

Dive into the research topics of 'Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network'. Together they form a unique fingerprint.

Cite this