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Copy file name to clipboardExpand all lines: src/stores/descriptions.raw.txt
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@@ -19,16 +19,27 @@ SignalTooltip: Percentage of people who either have already received a COVID vac
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Description: Every day, Delphi surveys tens of thousands of Facebook users, asking them a broad set of COVID-related questions, including whether they have received a COVID vaccine, have an appointment to do so, or would choose to be vaccinated if they were offered a COVID vaccine today. For this signal, we estimate the percentage of people who either (a) say they have already received a COVID vaccine, (b) have an appointment to receive a COVID vaccine, or (c) would “definitely” or “probably” choose to be vaccinated if a COVID vaccine were offered to them today. The signal changed in [Wave 11](https://cmu-delphi.github.io/delphi-epidata/symptom-survey/coding.html#wave-11) of the survey, asking all non-vaccinated respondents if they have an appointment to be vaccinated and treating those with appointments as vaccine-accepting.
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Name: COVID Symptom Searches on Google
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Name: COVID Symptoms (Smell and Taste) on Google
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Id: google-symptoms
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Signal: sum_anosmia_ageusia_smoothed_search
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Signal: s05_smoothed_search
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Unit: scaled search volume
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UnitShort:
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noMaps: true
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SignalTooltip: Google search volume of COVID-related symptom searches
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SignalTooltip: Google search volume of COVID-related symptom searches about smell and taste
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Description: Using Google Symptoms Searches, Delphi obtains the sum of Google search volumes for anosmia (loss of smell) related searches and ageusia (loss of taste) related searches in each area, since they emerged as unusual symptoms that are indicative of COVID-19. Note that the sum of two symptom search volumes is not equivalent to the union of anosmia and ageusia related searches. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids of choropleth maps of this signal on the dashboard).
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Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to anosmia (loss of smell), ageusia (loss of taste), and dysgeusia (altered or impaired taste) in each area, since they emerged as unusual symptoms that can be indicative of COVID-19. Note that the average of the three symptom search volumes is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
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Name: COVID Symptoms (Common Cold) on Google
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Id: google-symptoms
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Signal: s02_smoothed_search
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Unit: scaled search volume
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UnitShort:
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noMaps: true
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SignalTooltip: Google search volume of COVID-related symptom searches about common cold
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Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to nasal congestion, post nasal drip, rhinorrhea, sinusitis, rhinitis, and common cold in each area. These symptoms have showed positive correlation with reported COVID cases, especially since Omicron was declared a variant of concern by the World Health Organization. Note that the average search volume of these symptoms is not equivalent to the search volume of their union. According to Google, the estimates are not comparable across regions since the values are normalized by population and scaled by region-specific maximum popularity (and for this reason, we omit beehive grids and choropleth maps of this signal on the dashboard).
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