About: Covid19 Surveillance in Peru on April using Text Mining

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Covid19 Surveillance in Peru on April using Text Mining
Creator	Edinson, Josimar Saire, Chire Cruz, Oblitas Frank, Jimy
Source	MedRxiv
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.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1101/2020.05.24.20112193
has license	medrxiv
sha1sum (hex)	858328fa401a17ec85f1e224aa4a696bb67ed9c9
schema:url	https://doi.org/10.1101/2020.05.24.20112193
resource representing a document's title	Covid19 Surveillance in Peru on April using Text Mining
resource representing a document's body	covid:858328fa401a17ec85f1e224aa4a696bb67ed9c9#body_text
is schema:about of	named entity 'good' named entity 'Results' named entity 'COUNTRIES' named entity 'ABOUT' named entity 'RESULTS' named entity 'CITIES' named entity 'PANDEMIC' named entity 'PERFORMED' named entity 'USING' named entity 'PRESENT' named entity 'COVID19' named entity 'MONTH' named entity 'CONSEQUENCE' named entity 'cities' named entity 'limitations' named entity 'South American' named entity 'social distancing' named entity 'context' named entity 'Transport' named entity 'covid19' named entity 'South American' named entity 'Peru' named entity 'disease outbreaks' named entity 'Text Mining' named entity 'COVID19' named entity 'mass media' named entity 'Covid' named entity 'Covid19' named entity 'Public health' named entity 'viral infection' named entity 'cultural diversity' named entity 'global pandemic' named entity 'public health' named entity 'Cajamarca' named entity 'World Health Organization' named entity 'Peru' named entity 'CC-BY-NC-ND 4.0' named entity 'public health' named entity 'Covid-19' named entity 'Piura' named entity 'preprint' named entity 'flu' named entity 'Twitter' named entity 'Colombia' named entity 'H1N1' named entity 'coronavirus' named entity 'Lima' named entity 'Twitter' named entity 'COVID' named entity 'Whooping cough' named entity 'Dengue' named entity 'data analysis' named entity 'covid19' named entity 'Internet' named entity 'public health' named entity 'WHO' named entity 'Twitter' named entity 'covid19' named entity 'Twitter' named entity 'Twitter' named entity 'COVID' named entity 'preprint' named entity 'health professionals' named entity 'Public Health' named entity 'Coronavirus' named entity 'copyright holder' named entity 'Lambayeque' named entity 'preprint' named entity 'Twitter' named entity 'Lima' named entity 'Peru' named entity 'public health' named entity 'infodemiology' named entity 'Brazil' named entity 'public health' named entity 'Public Health' named entity 'Twitter' named entity 'Public Health' named entity 'Social Network' named entity 'infoveillance' named entity 'infection' named entity 'medRxiv'

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