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2021-05-16Zeitschriftenartikel
Space-Time Dependence of Emotions on Twitter after a Natural Disaster
dc.contributor.authorGarske, Sonja I.
dc.contributor.authorElayan, Suzanne
dc.contributor.authorSykora, Martin
dc.contributor.authorEdry, Tamar
dc.contributor.authorGrabenhenrich, Linus B.
dc.contributor.authorGalea, Sandro
dc.contributor.authorLowe, Sarah R.
dc.contributor.authorGruebner, Oliver
dc.date.accessioned2024-06-12T12:06:08Z
dc.date.available2024-06-12T12:06:08Z
dc.date.issued2021-05-16none
dc.identifier.other10.3390/ijerph18105292
dc.identifier.urihttp://edoc.rki.de/176904/11707
dc.description.abstractNatural disasters can have significant consequences for population mental health. Using a digital spatial epidemiologic approach, this study documents emotional changes over space and time in the context of a large-scale disaster. Our aims were to (a) explore the spatial distribution of negative emotional expressions of Twitter users before, during, and after Superstorm Sandy in New York City (NYC) in 2012 and (b) examine potential correlations between socioeconomic status and infrastructural damage with negative emotional expressions across NYC census tracts over time. A total of 984,311 geo-referenced tweets with negative basic emotions (anger, disgust, fear, sadness, shame) were collected and assigned to the census tracts within NYC boroughs between 8 October and 18 November 2012. Global and local univariate and bivariate Moran’s I statistics were used to analyze the data. We found local spatial clusters of all negative emotions over all disaster periods. Socioeconomic status and infrastructural damage were predominantly correlated with disgust, fear, and shame post-disaster. We identified spatial clusters of emotional reactions during and in the aftermath of a large-scale disaster that could help provide guidance about where immediate and long-term relief measures are needed the most, if transferred to similar events and on comparable data worldwide.eng
dc.language.isoengnone
dc.publisherRobert Koch-Institut
dc.rights(CC BY 3.0 DE) Namensnennung 3.0 Deutschlandger
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/de/
dc.subjectnatural disastereng
dc.subjectpost disaster mental healtheng
dc.subjectdigital epidemiologyeng
dc.subjectspatial epidemiologyeng
dc.subjecthealth geographyeng
dc.subjecttwittereng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleSpace-Time Dependence of Emotions on Twitter after a Natural Disasternone
dc.typearticle
dc.identifier.urnurn:nbn:de:0257-176904/11707-4
dc.type.versionpublishedVersionnone
local.edoc.container-titleInternational Journal of Environmental Research and Public Healthnone
local.edoc.container-issn1660-4601none
local.edoc.pages13none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttps://www.mdpi.com/journal/ijerphnone
local.edoc.container-publisher-nameMDPInone
local.edoc.container-volume18none
local.edoc.container-issue10none
local.edoc.container-reportyear2021none
dc.description.versionPeer Reviewednone

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