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

Josimar E.Chire Saire; Jimy Frank Oblitas Cruz

doi:10.1007/978-3-030-76228-5_34

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

Josimar E.Chire Saire
, Jimy Frank Oblitas Cruz

UPN Directorate of Research, Innovation, and Sustainability

Universidade de São Paulo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings
Editors	Juan Antonio Lossio-Ventura, Jorge Carlos Valverde-Rebaza, Eduardo Díaz, Hugo Alatrista-Salas
Pages	471-483
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-030-76228-5_34
State	Published - 2021
Event	7th Annual International Conference on Information Management and Big Data, SIMBig 2020 - Virtual, Online Duration: 1 Oct 2020 → 3 Oct 2020

Publication series

Name	Communications in Computer and Information Science
Volume	1410 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	7th Annual International Conference on Information Management and Big Data, SIMBig 2020
City	Virtual, Online
Period	1/10/20 → 3/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

Access to Document

10.1007/978-3-030-76228-5_34

Cite this

Saire, J. E. C., & Cruz, J. F. O. (2021). Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network. In J. A. Lossio-Ventura, J. C. Valverde-Rebaza, E. Díaz, & H. Alatrista-Salas (Eds.), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings (pp. 471-483). (Communications in Computer and Information Science; Vol. 1410 CCIS). https://doi.org/10.1007/978-3-030-76228-5_34

Saire, Josimar E.Chire ; Cruz, Jimy Frank Oblitas. / Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network. Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. editor / Juan Antonio Lossio-Ventura ; Jorge Carlos Valverde-Rebaza ; Eduardo Díaz ; Hugo Alatrista-Salas. 2021. pp. 471-483 (Communications in Computer and Information Science).

@inproceedings{aa648cf0dc7d40e7a14b6645b9a4db56,

title = "Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network",

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.",

keywords = "Coronavirus, Covid-19, Latin America, Natural language processing, Pandemic, People behaviour, Peru, Social network, South America, Text mining, Twitter",

author = "Saire, \{Josimar E.Chire\} and Cruz, \{Jimy Frank Oblitas\}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 7th Annual International Conference on Information Management and Big Data, SIMBig 2020 ; Conference date: 01-10-2020 Through 03-10-2020",

year = "2021",

doi = "10.1007/978-3-030-76228-5\_34",

language = "English",

isbn = "9783030762278",

series = "Communications in Computer and Information Science",

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Saire, JEC & Cruz, JFO 2021, Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network. in JA Lossio-Ventura, JC Valverde-Rebaza, E Díaz & H Alatrista-Salas (eds), Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. Communications in Computer and Information Science, vol. 1410 CCIS, pp. 471-483, 7th Annual International Conference on Information Management and Big Data, SIMBig 2020, Virtual, Online, 1/10/20. https://doi.org/10.1007/978-3-030-76228-5_34

Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network. / Saire, Josimar E.Chire; Cruz, Jimy Frank Oblitas.
Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. ed. / Juan Antonio Lossio-Ventura; Jorge Carlos Valverde-Rebaza; Eduardo Díaz; Hugo Alatrista-Salas. 2021. p. 471-483 (Communications in Computer and Information Science; Vol. 1410 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Saire, Josimar E.Chire

AU - Cruz, Jimy Frank Oblitas

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AB - 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.

KW - Coronavirus

KW - Covid-19

KW - Latin America

KW - Natural language processing

KW - Pandemic

KW - People behaviour

KW - Peru

KW - Social network

KW - South America

KW - Text mining

KW - Twitter

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U2 - 10.1007/978-3-030-76228-5_34

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M3 - Conference contribution

AN - SCOPUS:85111107239

SN - 9783030762278

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BT - Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings

A2 - Lossio-Ventura, Juan Antonio

A2 - Valverde-Rebaza, Jorge Carlos

A2 - Díaz, Eduardo

A2 - Alatrista-Salas, Hugo

T2 - 7th Annual International Conference on Information Management and Big Data, SIMBig 2020

Y2 - 1 October 2020 through 3 October 2020

ER -

Saire JEC, Cruz JFO. Identifying Covid-19 Impact on Peruvian Mental Health During Lockdown Using Social Network. In Lossio-Ventura JA, Valverde-Rebaza JC, Díaz E, Alatrista-Salas H, editors, Information Management and Big Data - 7th Annual International Conference, SIMBig 2020, Proceedings. 2021. p. 471-483. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-76228-5_34

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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