COVIDView Summary ending December 5, 2020

All data are preliminary and may change as more reports are received. A description of the surveillance systems summarized in COVIDView, including methodology and detailed descriptions of each data component, is available on the surveillance methods page.

Based on data reported to CDC by public health laboratories and a subset of clinical and commercial laboratories in the United States, 87,861,662 specimens were tested for SARS-CoV-2 using a molecular assay since March 1, 2020. The percentage of specimens testing positive for SARS-CoV-2 each week, based on week of specimen collection, are summarized below.

Nationally, during week 49, of 3,490,096 specimens tested for SARS-CoV-2 for diagnostic purposes, 462,922 (13.3%) were positive. This is an increase compared with week 48, during which 12.1% of specimens tested were positive. The percentage of specimens testing positive increased among all age groups.

*Note: Different laboratory types came on board with testing during different weeks. This graph includes public health laboratory data beginning in week 10, clinical laboratory data beginning in week 11 and commercial laboratory data beginning in week 14.

The percentage of specimens testing positive for SARS-CoV-2 decreased in one region (Region 7 [Central]) during week 49 compared with week 48; the remaining nine regions reported an increase in percentage of specimens testing positive. The regions with the highest percent positivity during week 49 were in the central part of the country, Regions 5 (Midwest, 15.8%), 6 (South Central, 15.8%), 7 (Central, 18.8%), and 8 (Mountain, 16.6%).

Additional virologic surveillance information: Surveillance Methods

Two syndromic surveillance systems, the U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet) and the National Syndromic Surveillance Project (NSSP), are being used to monitor trends in outpatient and emergency department (ED) visits that may be associated with COVID-19 illness. Each system monitors activity in a slightly different set of providers/facilities and uses a slightly different set of symptoms that may be associated with SARS-CoV-2 virus infection. ILINet provides information about visits to outpatient providers or emergency departments for influenza-like illness (ILI; fever plus cough and/or sore throat) and NSSP provides information about visits to EDs for ILI and COVID-like illness (CLI; fever plus cough and/or shortness of breath or difficulty breathing). Some EDs contribute ILI data to both ILINet and NSSP. Both systems are currently being affected by changes in health care seeking behavior, including increased use of telemedicine and increased social distancing. These changes affect the numbers of people seeking care in the outpatient and ED settings and their reasons for doing so. Syndromic data, including CLI and ILI, should be interpreted with caution and should be evaluated in combination with other sources of surveillance data, especially laboratory testing results, to obtain a complete and accurate picture of respiratory illness.

Nationally, the overall percentages of visits to outpatient providers or EDs for ILI and CLI have shown increasing trends since mid-September, with the greatest increase occurring for CLI visits. During week 49, the percentages of ED visits captured in NSSP for CLI and ILI were 6.1% and 1.3%, respectively. This represents a decline in CLI compared with week 48 and a stable (change of ≤0.1%) level of ILI. In ILINet, 1.6% of visits reported during week 49 were for ILI, also remaining stable (change of ≤0.1%) compared with week 48 and below the national baseline (2.4% for October 2019 through September 2020; 2.6% since October 2020) for the 34^th consecutive week. This level of ILI is lower than is typical for ILINet during this time of year.

The percentage of visits for ILI reported in ILINet during week 49 remained stable (change of ≤0.1%) compared with week 48 for all age groups (0–4 years, 5–24 years, 25–49 years, 50–64 years, 65 years and older). All age groups have experienced an increasing percentage of visits for ILI since September.

On a regional levelExternal, one region (Region 2 [New Jersey/New York/Puerto Rico]) reported an increase in two indicators of mild to moderate illness (CLI and/or ILI) during week 49 compared with week 48. Six regions (Regions 4 [Southeast], 5 [Midwest], 6 [South Central], 7[Central], 8 [Mountain], and 10 [Pacific Northwest) reported a decrease in at least one indicator of mild to moderate illness (CLI and/or ILI) and three regions (Regions 1 [(Northeast)], 3 [Mid-Atlantic], and 9 [South West/Coast]) reported a stable (change of ≤0.1%) level of CLI and ILI during week 49 compared with week 48. The percentage of visits for ILI to ILINet providers remained below the region-specific baseline in all regions.

ILI Activity Levels

Data collected in ILINet are used to produce a measure of ILI activity for all 50 states, Puerto Rico, the U.S. Virgin Islands, the District of Columbia, New York City and for each core-based statistical area (CBSA) where at least one provider is located. The mean reported percentage of visits due to ILI for the current week is compared with the mean reported during non-influenza weeks, and the activity levels correspond to the number of standard deviations below, at, or above the mean.

The number of jurisdictions at each activity level during week 49 and the previous week are summarized in the table below.

*Note: Data collected in ILINet may disproportionally represent certain populations within a state and may not accurately depict the full picture of respiratory disease activity for the whole state. Differences in the data presented here by CDC and independently by some state health departments likely represent differing levels of data completeness with data presented by the state likely being the more complete.

Additional information about medically attended outpatient and emergency department visits for ILI and CLI: Surveillance Methods

The COVID-19-Associated Hospitalization Surveillance Network (COVID-NET) conducts population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in select counties participating in the Emerging Infections Program (EIP) and the Influenza Hospitalization Surveillance Project (IHSP).

A total of 90,874 laboratory-confirmed COVID-19-associated hospitalizations were reported by sites between March 1, 2020, and December 5, 2020. The overall cumulative hospitalization rate was 278.7 per 100,000 population. Within the past month, all age groups have reached their highest weekly hospitalization rate since the start of the pandemic. The hospitalization rates for the most recent weeks are expected to increase as additional data are reported in future weeks.

¹Additional hospitalization rate data by age group are available.

Among the 90,874 laboratory-confirmed COVID-19-associated hospitalizations, 87,303 (96.1%) had information on race and ethnicity, while collection of race and ethnicity was still pending for 3,571 (3.9%) cases. When examining overall age-adjusted rates by race and ethnicity, the rates for Hispanic or Latino persons, non-Hispanic American Indian or Alaska Native persons, and non-Hispanic Black persons were approximately 3.8, 3.7, and 3.3 times the rate among non-Hispanic White persons, respectively.

When examining age-stratified crude hospitalization rates by race and ethnicity, compared with non-Hispanic White persons in the same age group, crude hospitalization rates were 5.1 times higher among Hispanic or Latino persons aged 0–17 years; 6.7 times higher among non-Hispanic American Indian or Alaska Native persons aged 18–49 years; 4.7 times higher among non-Hispanic American Indian or Alaska Native persons aged 50–64 years; and 2.6 times higher among non-Hispanic Black persons aged ≥65 years.

Non-Hispanic White persons and non-Hispanic Black persons represented the highest proportions of hospitalizations reported to COVID-NET, followed by Hispanic or Latino, non-Hispanic Asian or Pacific Islander, and non-Hispanic American Indian or Alaska Native persons. However, some racial and ethnic groups are disproportionately represented among hospitalizations compared with the overall population of the catchment area. Prevalence ratios were highest among non-Hispanic American Indian or Alaska Native persons, followed by non-Hispanic Black persons and Hispanic or Latino persons.

¹Persons of multiple races (0.3%) or unknown race and ethnicity (5.3%) are not represented in the table but are included as part of the denominator.
² Prevalence ratio is calculated as the ratio of the proportion of COVID-NET hospitalizations over the proportion of population in COVID-NET catchment area.

For underlying medical conditions, data were restricted to cases reported during March 1–May 31, 2020, due to delays in reporting. During this time frame, sampling was conducted among hospitalized adults; therefore, weighted percentages are reported. No sampling was conducted among hospitalized children. Among 8,437 sampled adults hospitalized during March 1–May 31 with information on underlying medical conditions, 90.7% had at least one reported underlying medical condition. The most reported underlying medical conditions were hypertension (58.9%), obesity (46.1%), metabolic disease (42.9%), and cardiovascular disease (34.2%). Among 266 children hospitalized during March 1–May 31 with information on underlying conditions, 51.1% had at least one reported underlying medical condition. The most reported underlying medical conditions were obesity (42.9%), asthma (13.5%), and neurologic disease (13.2%).

Additional hospitalization surveillance information:
Surveillance Methods  | Additional rate data  |  Additional demographic and clinical data

The National Center for Health Statistics (NCHS) collects death certificate data from vital statistics offices for all deaths occurring in the United States. Based on death certificate data available on December 10, 2020, the percentage of deaths attributed to pneumonia, influenza, or COVID-19 (PIC) for week 49 was 14.3% and, while it declined compared with the percentage during week 48 (19.6%), it remains above the epidemic threshold of 6.5% and is expected to increase as more death certificates are processed. Among the 3,052 PIC deaths reported for week 49, 2,113 had COVID-19 listed as an underlying or contributing cause of death on the death certificate and five listed influenza, indicating that the current increase in PIC mortality is due primarily to COVID-19 and not influenza.

The weekly percentage of deaths due to PIC declined from a second peak at the end of July through mid- September, remained stable from the week ending September 19 through the week ending October 3, and increased for seven weeks from early October through mid-November to a level that is higher than the July peak. Data for the most recent two weeks currently show a decline, but percentages for recent weeks will likely increase as more death certificates are processed. Weekly mortality surveillance data include a combination of machine-coded and manually coded causes of death collected from death certificates. The percentage of deaths due to PIC is higher among manually coded records than more rapidly available machine-coded records. Due to the additional time needed for manual coding, the initially reported PIC percentages may be lower than percentages calculated from final data.

*Data during recent weeks are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. It is possible that a death certificate includes both influenza and COVID as a cause of death; therefore, the number of influenza and COVID coded deaths may not be mutually exclusive.  

View Data Table

Additional NCHS mortality surveillance information: Surveillance Methods  | Provisional Death Counts for COVID-19