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Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study

BACKGROUND: COVID-19 has disrupted lives and livelihoods and caused widespread panic worldwide. Emerging reports suggest that people living in rural areas in some countries are more susceptible to COVID-19. However, there is a lack of quantitative evidence that can shed light on whether residents of...

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Autores principales: Gao, Zhiwei, Fujita, Sumio, Shimizu, Nobuyuki, Liew, Kongmeng, Murayama, Taichi, Yada, Shuntaro, Wakamiya, Shoko, Aramaki, Eiji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294121/
https://www.ncbi.nlm.nih.gov/pubmed/34174781
http://dx.doi.org/10.2196/29865
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author Gao, Zhiwei
Fujita, Sumio
Shimizu, Nobuyuki
Liew, Kongmeng
Murayama, Taichi
Yada, Shuntaro
Wakamiya, Shoko
Aramaki, Eiji
author_facet Gao, Zhiwei
Fujita, Sumio
Shimizu, Nobuyuki
Liew, Kongmeng
Murayama, Taichi
Yada, Shuntaro
Wakamiya, Shoko
Aramaki, Eiji
author_sort Gao, Zhiwei
collection PubMed
description BACKGROUND: COVID-19 has disrupted lives and livelihoods and caused widespread panic worldwide. Emerging reports suggest that people living in rural areas in some countries are more susceptible to COVID-19. However, there is a lack of quantitative evidence that can shed light on whether residents of rural areas are more concerned about COVID-19 than residents of urban areas. OBJECTIVE: This infodemiology study investigated attitudes toward COVID-19 in different Japanese prefectures by aggregating and analyzing Yahoo! JAPAN search queries. METHODS: We measured COVID-19 concerns in each Japanese prefecture by aggregating search counts of COVID-19–related queries of Yahoo! JAPAN users and data related to COVID-19 cases. We then defined two indices—the localized concern index (LCI) and localized concern index by patient percentage (LCIPP)—to quantitatively represent the degree of concern. To investigate the impact of emergency declarations on people's concerns, we divided our study period into three phases according to the timing of the state of emergency in Japan: before, during, and after. In addition, we evaluated the relationship between the LCI and LCIPP in different prefectures by correlating them with prefecture-level indicators of urbanization. RESULTS: Our results demonstrated that the concerns about COVID-19 in the prefectures changed in accordance with the declaration of the state of emergency. The correlation analyses also indicated that the differentiated types of public concern measured by the LCI and LCIPP reflect the prefectures’ level of urbanization to a certain extent (ie, the LCI appears to be more suitable for quantifying COVID-19 concern in urban areas, while the LCIPP seems to be more appropriate for rural areas). CONCLUSIONS: We quantitatively defined Japanese Yahoo users’ concerns about COVID-19 by using the search counts of COVID-19–related search queries. Our results also showed that the LCI and LCIPP have external validity.
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spelling pubmed-82941212021-08-03 Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study Gao, Zhiwei Fujita, Sumio Shimizu, Nobuyuki Liew, Kongmeng Murayama, Taichi Yada, Shuntaro Wakamiya, Shoko Aramaki, Eiji JMIR Public Health Surveill Original Paper BACKGROUND: COVID-19 has disrupted lives and livelihoods and caused widespread panic worldwide. Emerging reports suggest that people living in rural areas in some countries are more susceptible to COVID-19. However, there is a lack of quantitative evidence that can shed light on whether residents of rural areas are more concerned about COVID-19 than residents of urban areas. OBJECTIVE: This infodemiology study investigated attitudes toward COVID-19 in different Japanese prefectures by aggregating and analyzing Yahoo! JAPAN search queries. METHODS: We measured COVID-19 concerns in each Japanese prefecture by aggregating search counts of COVID-19–related queries of Yahoo! JAPAN users and data related to COVID-19 cases. We then defined two indices—the localized concern index (LCI) and localized concern index by patient percentage (LCIPP)—to quantitatively represent the degree of concern. To investigate the impact of emergency declarations on people's concerns, we divided our study period into three phases according to the timing of the state of emergency in Japan: before, during, and after. In addition, we evaluated the relationship between the LCI and LCIPP in different prefectures by correlating them with prefecture-level indicators of urbanization. RESULTS: Our results demonstrated that the concerns about COVID-19 in the prefectures changed in accordance with the declaration of the state of emergency. The correlation analyses also indicated that the differentiated types of public concern measured by the LCI and LCIPP reflect the prefectures’ level of urbanization to a certain extent (ie, the LCI appears to be more suitable for quantifying COVID-19 concern in urban areas, while the LCIPP seems to be more appropriate for rural areas). CONCLUSIONS: We quantitatively defined Japanese Yahoo users’ concerns about COVID-19 by using the search counts of COVID-19–related search queries. Our results also showed that the LCI and LCIPP have external validity. JMIR Publications 2021-07-20 /pmc/articles/PMC8294121/ /pubmed/34174781 http://dx.doi.org/10.2196/29865 Text en ©Zhiwei Gao, Sumio Fujita, Nobuyuki Shimizu, Kongmeng Liew, Taichi Murayama, Shuntaro Yada, Shoko Wakamiya, Eiji Aramaki. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 20.07.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Gao, Zhiwei
Fujita, Sumio
Shimizu, Nobuyuki
Liew, Kongmeng
Murayama, Taichi
Yada, Shuntaro
Wakamiya, Shoko
Aramaki, Eiji
Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title_full Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title_fullStr Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title_full_unstemmed Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title_short Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study
title_sort measuring public concern about covid-19 in japanese internet users through search queries: infodemiological study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294121/
https://www.ncbi.nlm.nih.gov/pubmed/34174781
http://dx.doi.org/10.2196/29865
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