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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Brazilian Portuguese COVID-19 Tweets

Authors: André Luis Marques Ferreira dos Santos; Alessandra Cristina Guedes Pellini; Elias Souza Noda; João Vinícius Vieira Nóia; Paula Fraga; Camila Brichta; Leandro Rodrigues dos Santos; +2 Authors

Brazilian Portuguese COVID-19 Tweets

Abstract

Brazilian Portuguese symptoms about COVID-19: Source: Twitter Start: 2019-01-01 (January 1st) End: 2021-06-30 (June 30th) Tweets: 13,857,517 Year 2019 [full year]: 4,043,958 obs. of 26 variables (Brazil_Portuguese_COVID19_Tweets2019.csv) Year 2020 [full year]: 6,155,844 obs. of 26 variables (Brazil_Portuguese_COVID19_Tweets2020.csv) Year 2021 [1st sem]: 3,657,715 obs. of 26 variables (Brazil_Portuguese_COVID19_Tweets2021.csv) Search terms (56 symptoms keywords about COVID-19): (1) adinamia, (2) ageusia, (3) anosmia, (4) boca azulada, (5) calafrio, (6) cansaço, (7) cefaleia, (8) cianose, (9) coloração azulada no rosto, (10) congestão nasal, (11) conjuntivite, (12) coriza, (13) desconforto respiratório, (14) diarreia, (15) dificuldade para respirar, (16) diminuição do apetite, (17) dispneia, (18) distúrbio gustativo, (19) distúrbio olfativo, (20) dor abdominal, (21) dor de cabeça, (22) dor de garganta, (23) dor no corpo, (24) dor no peito, (25) dor persistente no tórax, (26) erupção cutânea na pele, (27) fadiga, (28) falta de ar, (29) febre, (30) gripe, (31) hiporexia, (32) inapetência, (33) infecção respiratória, (34) lábio azulado, (35) mialgia, (36) nariz entupido, (37) náusea, (38) obstrução nasal, (39) perda de apetite, (40) perda do olfato, (41) perda do paladar, (42) pneumonia, (43) pressão no peito, (44) pressão no tórax, (45) prostração, (46) quadro gripal, (47) quadro respiratório, (48) queda da saturação, (49) resfriado, (50) rosto azulado, (51) saturação baixa, (52) saturação de o2 menor que 95%, (53) síndrome respiratória aguda grave, (54) srag, (55) tosse, (56) vômito. Variables: Variable str Description ---------------------------------------------------------------------------------- id (integer64) - Tweet identifier conversation_id (integer64) - Tweet conversation identifier date (POSIXct) - Tweet created date (format: YYYY-MM-DD hh:mm:ss) tweet (chr) - Symptoms mention about COVID-19 language (chr) - Tweet language: Portuguese hashtags (chr) - Sign (#) used to identify specific topic user_id (integer64) - User identifier username (chr) - Twitter user name link (chr) - Tweet url urls (chr) - External urls from tweet photos (chr) - Photos posted in message (link) video (int) - Video posted in message (1=True;0=False) thumbnail (chr) - Thumbnail posted in message retweet (logi) - Message reposted by another user nlikes (int) - Number of tweet likes nreplies (in) - Number of tweet replies nretweets (int) - Number of tweet retweets Near (logi) - Near a certain City (Example: London) geo (logi) - Geo coordinates (lat,lon,km/mi.) user_rt_id (logi) - User retweet identifier user_rt (logi) - Retweet user retweet_id (logi) - Retweet identifier reply_to (chr) - Answer to someone retweet_date (logi) - Retweet created date (format: YYYY-MM-DD hh:mm:ss) symptoms (chr) - Symptoms mentioned nsymptoms (int) - Number of symptons mentioned str: Compactly Display the Structure of an Arbitrary R Object

The project is hosted on: https://codatmo.github.io/UNINOVE_Brazil/

Related Organizations
Keywords

Coronavirus, Scraping, Twitter, Symptoms, COVID-19, Brazil, COVID

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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