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Copy file name to clipboardExpand all lines: src/stores/descriptions.raw.txt
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@@ -5,7 +5,7 @@ Signal: bars_visit_prop
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SignalTooltip: Daily number of visits to bars per 100,000 people, based on SafeGraph’s Weekly Patterns dataset
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Description: Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as "Drinking Places (alcoholic beverages)" from all the [core places](https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits and normalize by population size. Note that these counts only include people whose visits are tracked because they are in SafeGraph’s panel; they do not include all bar visits by everyone in the population.
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Name: Restaurant Visits
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SignalTooltip: Daily number of visits to restaurants per 100,000 people, based on SafeGraph’s Weekly Patterns dataset
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Description: Delphi receives data from [SafeGraph](https://docs.safegraph.com/docs/weekly-patterns), which collects weekly insights on Points of Interest (POI) using anonymized location data from mobile phones. We select locations that qualify as "Full-Service Restaurants" from all the [core places]( https://docs.safegraph.com/v4.0/docs/places-manual#section-core-places), then count the number of visits and normalize by population size. Note that these counts only include people whose visits are tracked because they are in SafeGraph’s panel; they do not include all restaurant visits by everyone in the population.
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Name: People Wearing Masks
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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 Symptom Searches on Google
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Id: google-symptoms
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Signal: sum_anosmia_ageusia_smoothed_search
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Unit: scaled search volume
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SignalTooltip: Google search volume of COVID-related symptom searches
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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 at a particular time point.
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Name: COVID-Related Doctor Visits
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SignalTooltip: Newly reported COVID-19 cases per 100,000 people, based on data from Johns Hopkins University
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Description: This data shows the number of COVID-19 confirmed cases newly reported each day. It reflects only cases reported by state and local health authorities. It is based on case counts compiled and made public by [a team at Johns Hopkins University](https://systems.jhu.edu/research/public-health/ncov/). The signal may not be directly comparable across regions with vastly different testing capacity or reporting criteria.
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Description: This data shows the number of COVID-19 confirmed cases newly reported each day. It reflects only cases reported by state and local health authorities. It is based on case counts compiled and made public by [a team at Johns Hopkins University](https://systems.jhu.edu/research/public-health/ncov/). The signal may not be directly comparable across regions with vastly different testing capacity or reporting criteria.
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