Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis

Abstract Integrating online and offline data is critical for uncovering the interdependence between policy and public emotional and behavioral responses in order to aid the development of effective spatially targeted interventions during crises. As the COVID-19 pandemic began to sweep across the US...

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Autores principales:	Shihui Feng, Alec Kirkley
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d1321cb9b2f545cf9d339958a38051e2
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spelling	oai:doaj.org-article:d1321cb9b2f545cf9d339958a38051e22021-12-02T17:32:58ZIntegrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis10.1038/s41598-021-88010-32045-2322https://doaj.org/article/d1321cb9b2f545cf9d339958a38051e22021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-88010-3https://doaj.org/toc/2045-2322Abstract Integrating online and offline data is critical for uncovering the interdependence between policy and public emotional and behavioral responses in order to aid the development of effective spatially targeted interventions during crises. As the COVID-19 pandemic began to sweep across the US it elicited a wide spectrum of responses, both online and offline, across the population. Here, we analyze around 13 million geotagged tweets in 49 cities across the US from the first few months of the pandemic to assess regional dependence in online sentiments with respect to a few major COVID-19 related topics, and how these sentiments correlate with policy development and human mobility. In this study, we observe universal trends in overall and topic-based sentiments across cities over the time period studied. We also find that this online geolocalized emotion is significantly impacted by key COVID-19 policy events. However, there is significant variation in the emotional responses to these policies across the cities studied. Online emotional responses are also found to be a good indicator for predicting offline local mobility, while the correlations between these emotional responses and local cases and deaths are relatively weak. Our findings point to a feedback loop between policy development, public emotional responses, and local mobility, as well as provide new insights for integrating online and offline data for crisis management.Shihui FengAlec KirkleyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Shihui Feng Alec Kirkley Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
description	Abstract Integrating online and offline data is critical for uncovering the interdependence between policy and public emotional and behavioral responses in order to aid the development of effective spatially targeted interventions during crises. As the COVID-19 pandemic began to sweep across the US it elicited a wide spectrum of responses, both online and offline, across the population. Here, we analyze around 13 million geotagged tweets in 49 cities across the US from the first few months of the pandemic to assess regional dependence in online sentiments with respect to a few major COVID-19 related topics, and how these sentiments correlate with policy development and human mobility. In this study, we observe universal trends in overall and topic-based sentiments across cities over the time period studied. We also find that this online geolocalized emotion is significantly impacted by key COVID-19 policy events. However, there is significant variation in the emotional responses to these policies across the cities studied. Online emotional responses are also found to be a good indicator for predicting offline local mobility, while the correlations between these emotional responses and local cases and deaths are relatively weak. Our findings point to a feedback loop between policy development, public emotional responses, and local mobility, as well as provide new insights for integrating online and offline data for crisis management.
format	article
author	Shihui Feng Alec Kirkley
author_facet	Shihui Feng Alec Kirkley
author_sort	Shihui Feng
title	Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
title_short	Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
title_full	Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
title_fullStr	Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
title_full_unstemmed	Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis
title_sort	integrating online and offline data for crisis management: online geolocalized emotion, policy response, and local mobility during the covid crisis
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/d1321cb9b2f545cf9d339958a38051e2
work_keys_str_mv	AT shihuifeng integratingonlineandofflinedataforcrisismanagementonlinegeolocalizedemotionpolicyresponseandlocalmobilityduringthecovidcrisis AT aleckirkley integratingonlineandofflinedataforcrisismanagementonlinegeolocalizedemotionpolicyresponseandlocalmobilityduringthecovidcrisis
_version_	1718380150297460736

Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis

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