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https://t2-4.bsc.es/jspui/handle/123456789/71610| Title: | Google Symptoms |
| Keywords: | search trends epidemiology health |
| Publisher: | Carnegie Mellon University |
| Description: | This data source is based on the COVID-19 Search Trends symptoms dataset. Using this search data, we estimate the volume of searches mapped to symptom sets related to COVID-19. The resulting daily dataset for each region shows the average relative frequency of searches for each symptom set. The signals are measured in arbitrary units that are normalized for overall search users in the region and scaled by the maximum value of the normalized popularity within a geographic region across a specific time range. Values are comparable across signals in the same location but NOT across geographic regions. For example, within a state, we can compare s01_smoothed_search and s02_smoothed_search. However, we cannot compare s01_smoothed_search between states. Larger numbers represent increased relative popularity of symptom-related searches. |
| URI: | https://t2-4.bsc.es/jspui/handle/123456789/71610 https://t2-4.bsc.es/jspui/handle/123456789/71610 |
| Other Identifiers: | https://cmu-delphi.github.io/delphi-epidata/api/covidcast-signals/google-symptoms.html https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html https://covidcast.cmu.edu/?mode=export oai:covid19data.eui.eu:sn4xm-z0t49 https://covid19data.eui.eu/records/sn4xm-z0t49 |
| Appears in Collections: | EUI |
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