Respiratory diseases burden over time
Cases by month
Hospitalizations by underlying medical condition
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Percentage of hospitalized patients with the underlying medical condition
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Representation of the underlying medical condition in the general population* (%)
Risk for hospitalizations by underlying medical condition
Characteristics of patients hospitalized with COVID-19
Long COVID national estimates by age
Estimates are derived from the Household Pulse Survey and show the outcomes for adults aged 18 and over.
Source: U.S. Census Bureau, Household Pulse Survey, 2022-2023
See the technical notes for more information on these measures.
CDC data modified from: https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm
Additional information:
As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment.
Long COVID national estimates by race and ethnicity
Estimates are derived from the Household Pulse Survey and show the outcomes for adults aged 18 and over.
Source: U.S. Census Bureau, Household Pulse Survey, 2022-2023
See the technical notes for more information on these measures.
CDC data modified from: https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm
Additional information:
As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment.
Long COVID estimates
Map
Long COVID estimates
Estimates are derived from the Household Pulse Survey and show the outcomes for adults aged 18 and over.
Source: U.S. Census Bureau, Household Pulse Survey, 2022-2023
See the technical notes for more information on these measures.
CDC data modified from: https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm
Additional information:
As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment.
Long COVID regional estimates over time
Choose state(s)
Estimates are derived from the Household Pulse Survey and show the outcomes for adults aged 18 and over.
Source: U.S. Census Bureau, Household Pulse Survey, 2022-2023
See the technical notes for more information on these measures.
CDC data modified from: https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm
Additional information:
As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment.
Long COVID regional estimates (all indicators)
Choose a state
Estimates are derived from the Household Pulse Survey and show the outcomes for adults aged 18 and over.
Source: U.S. Census Bureau, Household Pulse Survey, 2022-2023
See the technical notes for more information on these measures.
CDC data modified from: https://www.cdc.gov/nchs/covid19/pulse/long-covid.htm
Additional information:
As part of an ongoing partnership with the Census Bureau, the National Center for Health Statistics (NCHS) added questions to assess the prevalence of post-COVID-19 conditions (long COVID), on the experimental Household Pulse Survey.
The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment.
Variant proportions
Region Comparison
Phylogenetic tree
COVID-19 Hospitalization Risk by Comorbidities Profile (Risk Stacking)
Calculate risk of hospitalization based on patient risk factors
Patient Risk Factors
Hospitalization Risk
be hospitalized with COVID-19
compared to individuals without these conditions.
Risk Factor (Conditions) Definition:
- Cardiovascular Diseases: Including certain cerebrovascular conditions and heart conditions (such as heart failure, coronary artery disease, or cardiomyopathies)
- Diabetes: Diabetes mellitus, type 1, and type 2
- Immunocompromised Conditions: Defined as (1) Cancer, based on the Deyo-Charlson index cancer list case definition (2) Organ or a stem cell transplant (3) Primary immunodeficiency (4) HIV (5) Drugs that suppress the immune response
- Chronic Kidney Disease: Stage 1-5 including dialysis
- Chronic Lung Diseases: Including asthma, interstitial lung disease, pulmonary embolism, pulmonary hypertension, bronchopulmonary dysplasia, bronchiectasis, and chronic obstructive pulmonary disease (COPD)
Based on EHR and claims data before COVID-19 vaccines were authorized/ approved.
Comorbidities were assessed by ICD-10 codes
See the
Technical specifications
for more information
Risk Stacking Repartition
Population description and risk factors
Hazard Ratio by Risk Factor
Hazard Ratio by Risk Factor
United States Social Listening Insights
The metrics displayed are based on a 7-day time frame, and the information displayed is updated every 15 minutes.
Respiratory Conversations:
You can utilize the map to visualize the frequency and distribution of respiratory health-related conversations. This can aid in understanding patient concerns and the prevalent discourse in your region and support you in delivering tailored and impactful patient communication.
Conversation Mentions & Engagement:
The results widget represents the volume of mentions and whether this has increased or decreased compared to the previous week, while the engagement widget aggregates direct interactions with content such as comments, shares, and likes. The Arrows below the total mentions and engagement indicate whether the number of results has increased or decreased compared to the previous week. An upward arrow indicates an increase in results, while a downward arrow indicates a decrease.
COVID-19
RSV
FLU
Vaccine Sentiment:
Sentiment analysis on social listening dashboards offers healthcare professionals critical insights into the emotional undercurrents of vaccine discussions. This AI-powered tool, which captures the tone of conversations about COVID, RSV, or Flu vaccines, may be helpful in addressing patient concerns with greater empathy. By understanding whether sentiments are positive, negative, or neutral, healthcare providers can tailor their communication strategies effectively, enhancing patient engagement in vaccine-related dialogues.
COVID-19
RSV
FLU
Conversation Themes:
The Conversation Themes, represented in a bar graph of conversation frequency, can provide insights into patient concerns and information gaps. By analyzing the prominence and sentiment of these themes, healthcare professionals can tailor their communication strategies to address their patient’s concerns.
COVID-19
RSV
FLU
Conversation Sources:
Having access to a wide array of sources and media types where conversations are occurring provides healthcare professionals with a valuable window into the public discourse on these topics. With content aggregated from a vast range of platforms—including major social networks like Twitter, Facebook, Instagram, and TikTok, as well as blogs, forums, news sites, broadcast channels, and print outlets—HCPs can gain a comprehensive view of the concerns, misconceptions, and common questions that may be brought forward by their patients.