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Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives

With the rapid development of the internet, the application of internet search data has been seen as a novel data source to offer timely infectious disease surveillance intelligence. Moreover, the advancements in internet search data, which include rich information at both space and time scales, ena...

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Detalles Bibliográficos
Autores principales: Sun, Hua, Zhang, Yuzhou, Gao, Guang, Wu, Dun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760721/
https://www.ncbi.nlm.nih.gov/pubmed/36544794
http://dx.doi.org/10.3389/fpubh.2022.958835
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author Sun, Hua
Zhang, Yuzhou
Gao, Guang
Wu, Dun
author_facet Sun, Hua
Zhang, Yuzhou
Gao, Guang
Wu, Dun
author_sort Sun, Hua
collection PubMed
description With the rapid development of the internet, the application of internet search data has been seen as a novel data source to offer timely infectious disease surveillance intelligence. Moreover, the advancements in internet search data, which include rich information at both space and time scales, enable investigators to sufficiently consider the spatiotemporal uncertainty, which can benefit researchers to better monitor infectious diseases and epidemics. In the present study, we present the necessary groundwork and critical appraisal of the use of internet search data and spatiotemporal analysis approaches in infectious disease surveillance by updating the current stage of knowledge on them. The study also provides future directions for researchers to investigate the combination of internet search data with the spatiotemporal analysis in infectious disease surveillance. Internet search data demonstrate a promising potential to offer timely epidemic intelligence, which can be seen as the prerequisite for improving infectious disease surveillance.
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spelling pubmed-97607212022-12-20 Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives Sun, Hua Zhang, Yuzhou Gao, Guang Wu, Dun Front Public Health Public Health With the rapid development of the internet, the application of internet search data has been seen as a novel data source to offer timely infectious disease surveillance intelligence. Moreover, the advancements in internet search data, which include rich information at both space and time scales, enable investigators to sufficiently consider the spatiotemporal uncertainty, which can benefit researchers to better monitor infectious diseases and epidemics. In the present study, we present the necessary groundwork and critical appraisal of the use of internet search data and spatiotemporal analysis approaches in infectious disease surveillance by updating the current stage of knowledge on them. The study also provides future directions for researchers to investigate the combination of internet search data with the spatiotemporal analysis in infectious disease surveillance. Internet search data demonstrate a promising potential to offer timely epidemic intelligence, which can be seen as the prerequisite for improving infectious disease surveillance. Frontiers Media S.A. 2022-12-05 /pmc/articles/PMC9760721/ /pubmed/36544794 http://dx.doi.org/10.3389/fpubh.2022.958835 Text en Copyright © 2022 Sun, Zhang, Gao and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Sun, Hua
Zhang, Yuzhou
Gao, Guang
Wu, Dun
Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title_full Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title_fullStr Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title_full_unstemmed Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title_short Internet search data with spatiotemporal analysis in infectious disease surveillance: Challenges and perspectives
title_sort internet search data with spatiotemporal analysis in infectious disease surveillance: challenges and perspectives
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9760721/
https://www.ncbi.nlm.nih.gov/pubmed/36544794
http://dx.doi.org/10.3389/fpubh.2022.958835
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