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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9760721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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