---
Name: Symptom Searches (Smell and Taste) on Google 
Id: google-symptoms
Signal: s05_smoothed_search
Unit: scaled search volume
UnitShort: 
noMaps: true
 
SignalTooltip: Google search volume of COVID-related symptom searches about smell and taste
 
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).
---
Name: Symptom Searches (Common Cold) on Google 
Id: google-symptoms
Signal: s02_smoothed_search
Unit: scaled search volume
UnitShort: 
noMaps: true
 
SignalTooltip: Google search volume of COVID-related symptom searches about common cold
 
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 shown 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).
---
Name: Symptom Searches (Cough, Phlegm, Sputum, Upper respiratory tract infection) on Google 
Id: google-symptoms
Signal: s01_smoothed_search
Unit: scaled search volume
UnitShort: 
noMaps: true
 
SignalTooltip: Google search volume of COVID-related symptom searches about Cough, Phlegm, Sputum, Upper respiratory tract infection
 
Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to cough, phlegm, sputum, and upper respiratory tract infection in each area. These symptoms have shown positive correlation with reported COVID cases. 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).
---
Name: Symptom Searches (Fever, Hyperthermia, Chills, Shivering) on Google 
Id: google-symptoms
Signal: s03_smoothed_search
Unit: scaled search volume
UnitShort: 
noMaps: true
 
SignalTooltip: Google search volume of COVID-related symptom searches about Fever, Hyperthermia, Chills, Shivering
 
Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to fever, hyperthermia, chills, shivering, and low grade fever in each area. These symptoms have shown positive correlation with reported COVID cases. 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).
---
Name: Symptom Searches (Shortness of breath, Wheeze, Croup, Pneumonia, Asthma, Crackles, Bronchitis) on Google 
Id: google-symptoms
Signal: s04_smoothed_search
Unit: scaled search volume
UnitShort: 
noMaps: true
 
SignalTooltip: Google search volume of COVID-related symptom searches about Shortness of breath, Wheeze, Croup, Pneumonia, Asthma, Crackles, Bronchitis
 
Description: Using Google Symptoms Searches, Delphi obtains the average of Google search volumes for searches related to shortness of breath, wheeze, croup, pneumonia, asthma, crackles, acute bronchitis, and bronchitis in each area. These symptoms have shown positive correlation with reported COVID cases. 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).
---
Name: COVID-Related Doctor Visits
Id: doctor-visits
Signal: smoothed_adj_cli
Unit: per 100 visits


SignalTooltip: Percentage of daily doctor visits that are due to COVID-like symptoms


Description: Delphi receives aggregated statistics from health system partners on COVID-related outpatient doctor visits, derived from ICD codes found in insurance claims. Using this data, we estimate the percentage of daily doctor’s visits in each area that are due to COVID-like illness. Note that these estimates are based only on visits by patients whose data is accessible to our partners.
---
Name: COVID Hospital Admissions From Claims
Id: hospital-admissions
Signal: smoothed_adj_covid19_from_claims
ExtendedColorScale: true




SignalTooltip: COVID Hospital Admissions From Claims


Description: Estimated percentage of new hospital admissions with COVID-associated diagnoses, based on counts of claims from health system partners, smoothed in time using a Gaussian linear smoother, and adjusted to reduce day-of-week effects.
---
Name: COVID Deaths
Id: nchs-mortality
Signal: deaths_covid_incidence_prop


SignalTooltip: Newly reported COVID-19 deaths per 100,000 people, based on NCHS mortality data.


Description: This data shows the number of COVID-19 deaths newly reported each week. The signal is based on COVID-19 death counts compiled and made public by [the National Center for Health Statistics](https://www.cdc.gov/nchs/nvss/vsrr/COVID19/index.htm).
---
Name: COVID Emergency Department Visits (Percent of total ED visits)
Id: nssp
Signal: pct_ed_visits_covid

SignalTooltip: COVID Emergency Department Visits (Percent of total ED visits)

Description: Percent of ED visits that had a discharge diagnosis code of COVID-19
---
Name: Influenza Emergency Department Visits (Percent of total ED visits)
Id: nssp
Signal: pct_ed_visits_influenza

SignalTooltip: Influenza Emergency Department Visits (Percent of total ED visits)

Description: Percent of ED visits that had a discharge diagnosis code of influenza
