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.
The number of specimens tested for SARS-CoV-2 using a molecular assay and reported to CDC by public health laboratories and a subset of clinical and commercial laboratories in the United States are summarized below. All laboratories are performing primary diagnostic functions; therefore, the percentage of specimens testing positive across laboratory types can be used to monitor overall trends in COVID-19 activity. As the outbreak progresses, it is possible that different types of laboratories will take on different roles, and the data interpretation may need to change.
|Summary of Laboratory Testing Results Reported to CDC*||Week 29
(July 12 – July 18, 2020)
|Cumulative since March 1, 2020|
|No. of specimens tested||1,796,223||28,745,587|
|Public Health Laboratories||246,839||3,342,648|
|No. of positive specimens (%)||155,204 (8.6%)||2,762,464 (9.6%)|
|Public Health Laboratories||19,771 (8.0%)||285,259 (8.5%)|
|Clinical Laboratories||9,615 (5.7%)||177,956 (6.3%)|
|Commercial Laboratories||125,818 (9.1%)||2,299,249 (10.2%)|
* Commercial and clinical laboratory data represent select laboratories and do not capture all tests performed in the United States.
* Commercial laboratories began testing for SARS-CoV-2 in early March, but the number and geographic distribution of reporting commercial laboratories became stable enough to calculate a weekly percentage of specimens testing positive as of March 29, 2020.
Additional virologic surveillance information: Surveillance Methods
Two syndromic surveillance systems are being used to monitor trends in outpatient and emergency department visits that may be associated with COVID-19 illness. Each system monitors a slightly different syndrome, and together, these systems provide a more comprehensive picture of mild-to-moderate COVID-19 illness than either would individually. Both systems are currently being affected by changes in health care seeking behavior, including increased use of telemedicine, compliance with recommendations to limit emergency department (ED) visits to severe illnesses, 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.
The U.S. Outpatient Influenza-like Illness Surveillance Network (ILINet) provides data on visits for influenza-like illness (ILI) (fever [≥ 100○F] and cough and/or sore throat) to approximately 2,600 primary care providers, emergency departments and urgent care centers in all 50 states, Puerto Rico, the District of Columbia and the U.S. Virgin Islands. Mild COVID-19 illness presents with symptoms similar to ILI, so ILINet is being used to track trends of mild to moderate COVID-19 illness and allows for comparison with prior influenza seasons.
Nationwide during week 29, 1.4% of patient visits reported through ILINet were due to ILI. This percentage is well below the national baseline of 2.4% and, while low overall, is higher than what is typical for this time of year compared to previous influenza seasons. Compared to week 28, the percentage of visits for ILI during week 29 was slightly higher for 0-4 year olds but slightly lower for all other age groups.
* Age-group specific percentages should not be compared to the national baseline.
On a regional level external icon , the percentage of outpatient visits for ILI ranged from 0.5% to 2.2% during week 29. All ten regions are below their region-specific baselines and reported only slight fluctuations in the percentrage of visits for ILI during week 29 compared to week 28.
Note: In response to the COVID-19 pandemic, new data sources will be incorporated into ILINet as we move into summer weeks when lower levels of influenza and other respiratory virus circulation are typical. Starting in week 21, increases in the number of patient visits will be seen as new sites are enrolled and the percentage of visits for ILI may change in comparison to previous weeks. While all regions remain below baseline levels for ILI, these system changes should be considered when drawing conclusions from these data. Any changes in ILI due to changes in respiratory virus circulation will be highlighted here.
Data collected in ILINet are used to produce a measure of ILI activity for all 50 states, Puerto Rico, the District of Columbia and New York City. The mean reported percentage of visits due to ILI for the current week is compared to 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 29 and the change compared to the previous week are summarized in the table below and shown in the following maps.
|Activity Level||Number of Jurisdictions|
July 18, 2020)
|Compared to Previous Week|
|Very High||0||No change|
|Insufficient Data||1||No change|
*Data collected in ILINet may disproportionally represent certain populations within a state and may not accurately depict the full picture of influenza 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.
NSSP is a collaboration among CDC, federal partners, local and state health departments and academic and private sector partners to collect, analyze and share electronic patient encounter data received from multiple healthcare settings. To track trends of potential COVID-19 visits, visits for COVID-19-like illness (CLI) (fever and cough or shortness of breath or difficulty breathing or presence of a coronavirus diagnosis code) and ILI to a subset of emergency departments in 47 states are being monitored.
Nationwide during week 29, 3.5% of emergency department visits captured in NSSP were due to CLI and 1.0% were due to ILI. In comparison to week 28, this week there was a decrease in the percentage of visits for both CLI and ILI. However, the percentage of visits for CLI increased from week 23 through week 28, and trends presented this week may change as more ED visit data are received.
During week 29, seven of ten HHS regions external icon (Regions 1 [New England], 2 [NY/NJ/Puerto Rico], 3 [Mid-Atlantic], 5 [Midwest], 7 [Central], 9 [Mountain] and 10 [Pacific Northwest]) reported only slight fluctuations in percentage of visits for CLI compared to week 28. Three regions (Regions 4 [South East], 6 [South Central] and 9 [South West/Coast]) that have been reporting elevated levels of CLI for several weeks, reported declines in week 29 compared to week 28.
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 39,432 laboratory-confirmed COVID-19-associated hospitalizations were reported by sites between March 1, 2020 and July 18, 2020. The overall cumulative hospitalization rate is 120.9 per 100,000 population. Among the 0-4 years, 5-17 years, 18-49 years, 50-64 years, and ≥ 65 years age groups, the highest rate of hospitalization is among adults aged ≥ 65, followed by adults aged 50-64 years and adults aged 18-49 years.
|Age Group||Cumulative Rate per 100,000 Population|
From June 20 (MMWR week 25) – July 11 (MMWR week 28), overall weekly hospitalization rates increased for three consecutive weeks. . Data for the week ending July 18 (MMWR week 29) currently show a decline; however, those data are likely to change as more data for admissions occurring during that week are received.
Among the 39,432 laboratory-confirmed COVID-19-associated hospitalized cases, 37,108 (94.1%) have information on race and ethnicity, while collection of race and ethnicity is still pending for 2,324 (5.9%) cases. When examining overall age-adjusted rates by race/ethnicity, non-Hispanic American Indian or Alaska Native persons have an age-adjusted hospitalization rate approximately 5.3 times that of non-Hispanic White persons. Rates for non-Hispanic Black persons and Hispanic or Latino persons are approximately 4.7 and 4.6 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 are 7.5 times higher among Hispanic or Latino persons aged 0-17 years; 9.8 times higher among non-Hispanic American Indian or Alaska Native persons aged 18-49 years; 7.4 times higher among non-Hispanic American Indian or Alaska Native persons aged 50-64 years; and 3.8 times higher among non-Hispanic Black persons aged ≥ 65 years.
Hispanic or Latino
Non-Hispanic Asian or Pacific Islander
|Rate1||Rate Ratio2||Rate1||Rate Ratio2||Rate1||Rate Ratio2||Rate1||Rate Ratio2||Rate1||Rate Ratio2|
|Overall rate3 (age-adjusted)||281.0||5.3||246.8||4.7||242.5||4.6||66.7||1.3||53.0||1.0|
1 COVID-19-associated hospitalization rates by race/ethnicity are calculated using hospitalized COVID-NET cases with known race and ethnicity for the numerator and NCHS bridged-race population estimates for the denominator.
2 For each age category, rate ratios are the ratios between crude hospitalization rates within each racial/ethnic group and the crude hospitalization rate among non-Hispanic white persons in the same age category.
3 Overall rates are adjusted to account for differences in age distributions within race/ethnicity strata in the COVID-NET catchment area; the age strata used for the adjustment include 0-17, 18-49, 50-64, and 65+ years.
Non-Hispanic Black persons and non-Hispanic White persons represent the highest proportions of hospitalized cases 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 hospitalized cases as compared with the overall population of the catchment area. Prevalence ratios show a similar pattern to that of the age-adjusted hospitalization rates: non-Hispanic American Indian or Alaska Native persons have the highest prevalence ratio, followed by non-Hispanic Black, and Hispanic or Latino persons.
|Non-Hispanic American Indian or Alaska Native||Non-Hispanic Black||Hispanic or Latino||Non-Hispanic Asian or Pacific Islander||Non-Hispanic White|
|Proportion of hospitalized COVID-NET cases1||1.5%||32.9%||22.8%||4.7%||31.8%|
|Proportion of population in COVID-NET catchment||0.7%||17.7%||14.0%||8.8%||58.8%|
1 Persons of multiple races (0.2%) or unknown race and ethnicity (6.1%) 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 hospitalized COVID-NET cases over the proportion of population in COVID-NET catchment area.
Among 10,227 hospitalized adults with information on underlying medical conditions, 90.9% have at least one reported underlying medical condition. The most commonly reported were hypertension, obesity, chronic metabolic disease, and cardiovascular disease. Among 217 hospitalized children with information on underlying conditions, 52.1% had at least one reported underlying medical condition. The most commonly reported were obesity, asthma, and neurologic conditions.
Additional data on demographics, signs and symptoms at admission, underlying conditions, interventions, outcomes, and discharge diagnoses, stratified by age, sex, and race and ethnicity, are available.
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 July 23, 2020, the percentage of deaths attributed to pneumonia, influenza or COVID-19 (PIC) increased from week 26 – week 28 (June 27 – July 11) after declining for 11 weeks since mid-April. The percentage of deaths due to PIC for week 29 is 9.1% and, while lower than the percentage during week 28 (11.5%), remains above the epidemic threshold. These percentages will likely change 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. Percentages of deaths due to PIC are 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.