Correlation between reported human infection with avian influenza A H7N9 virus and cyber user awareness: what can we learn from digital epidemiology?
Data on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r =0...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xie, Tiansheng [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Umfang: |
3 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Using methylome data to inform exposome-health association studies: An application to the identification of environmental drivers of child body mass index - Cadiou, Solène ELSEVIER, 2020, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:22 ; year:2014 ; pages:1-3 ; extent:3 |
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10.1016/j.ijid.2013.11.013 |
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| 520 | |a Data on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r =0.98, p <0.01, cumulative; r =0.43, p =0.018, daily) except in the early stage; the ranks of H7N9-related topics changed at different epidemic stages. This study may improve our understanding of the role of web-based media in infectious disease surveillance in China. | ||
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Correlation between reported human infection with avian influenza A H7N9 virus and cyber user awareness: what can we learn from digital epidemiology? |
| abstract |
Data on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r =0.98, p <0.01, cumulative; r =0.43, p =0.018, daily) except in the early stage; the ranks of H7N9-related topics changed at different epidemic stages. This study may improve our understanding of the role of web-based media in infectious disease surveillance in China. |
| abstractGer |
Data on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r =0.98, p <0.01, cumulative; r =0.43, p =0.018, daily) except in the early stage; the ranks of H7N9-related topics changed at different epidemic stages. This study may improve our understanding of the role of web-based media in infectious disease surveillance in China. |
| abstract_unstemmed |
Data on the topic of novel avian influenza A (H7N9) were collected based on the web analysis tool ‘Baidu Index’, a major Chinese search engine. We found a positive correlation between the volume of H7N9-related ‘cyber user awareness’ and the epidemic situation during the H7N9 outbreak in China (r =0.98, p <0.01, cumulative; r =0.43, p =0.018, daily) except in the early stage; the ranks of H7N9-related topics changed at different epidemic stages. This study may improve our understanding of the role of web-based media in infectious disease surveillance in China. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA |
| title_short |
Correlation between reported human infection with avian influenza A H7N9 virus and cyber user awareness: what can we learn from digital epidemiology? |
| url |
https://doi.org/10.1016/j.ijid.2013.11.013 |
| remote_bool |
true |
| author2 |
Yang, Zongxing Yang, Shigui Wu, Nanping Li, Lanjuan |
| author2Str |
Yang, Zongxing Yang, Shigui Wu, Nanping Li, Lanjuan |
| ppnlink |
ELV00389553X |
| mediatype_str_mv |
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| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1016/j.ijid.2013.11.013 |
| up_date |
2024-07-06T17:19:59.824Z |
| _version_ |
1803851031983947776 |
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