Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138. Johnson AG, Linde L, Ali AR, et al. COVID-19 Incidence and Mortality Among Unvaccinated and Vaccinated Persons Aged ≥12 Years by Receipt of Bivalent Booster Doses and Time Since Vaccination — 24 U.S. Jurisdictions, October 3, 2021–December 24, 2022. MMWR Morb Mortal Wkly Rep 2023;72:145–152. Johnson AG, Linde L, Payne AB, et al. Notes from the Field: Comparison of COVID-19 Mortality Rates Among Adults Aged ≥65 Years Who Were Unvaccinated and Those Who Received a Bivalent Booster Dose Within the Preceding 6 Months — 20 U.S. Jurisdictions, September 18, 2022–April 1, 2023. MMWR Morb Mortal Wkly Rep 2023;72:667–669.

Note: DPH is updating and streamlining the COVID-19 cases, deaths, and testing data. As of 6/27/2022, the data will be published in four tables instead of twelve.

The COVID-19 Cases, Deaths, and Tests by Day dataset contains cases and test data by date of sample submission. The death data are by date of death. This dataset is updated daily and contains information back to the beginning of the pandemic. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Cases-Deaths-and-Tests-by-Day/g9vi-2ahj.

The COVID-19 State Metrics dataset contains over 93 columns of data. This dataset is updated daily and currently contains information starting June 21, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-State-Level-Data/qmgw-5kp6 .

The COVID-19 County Metrics dataset contains 25 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-County-Level-Data/ujiq-dy22 .

The COVID-19 Town Metrics dataset contains 16 columns of data. This dataset is updated daily and currently contains information starting June 16, 2022 to the present. The data can be found at https://data.ct.gov/Health-and-Human-Services/COVID-19-Town-Level-Data/icxw-cada . To protect confidentiality, if a town has fewer than 5 cases or positive NAAT tests over the past 7 days, those data will be suppressed.

COVID-19 cases and associated deaths that have been reported among Connecticut residents, broken out by age group. All data in this report are preliminary; data for previous dates will be updated as new reports are received and data errors are corrected. Deaths reported to the either the Office of the Chief Medical Examiner (OCME) or Department of Public Health (DPH) are included in the daily COVID-19 update.

Data are reported daily, with timestamps indicated in the daily briefings posted at: portal.ct.gov/coronavirus. Data are subject to future revision as reporting changes.

Starting in July 2020, this dataset will be updated every weekday.

Additional notes: A delay in the data pull schedule occurred on 06/23/2020. Data from 06/22/2020 was processed on 06/23/2020 at 3:30 PM. The normal data cycle resumed with the data for 06/23/2020.

A network outage on 05/19/2020 resulted in a change in the data pull schedule. Data from 5/19/2020 was processed on 05/20/2020 at 12:00 PM. Data from 5/20/2020 was processed on 5/20/2020 8:30 PM. The normal data cycle resumed on 05/20/2020 with the 8:30 PM data pull. As a result of the network outage, the timestamp on the datasets on the Open Data Portal differ from the timestamp in DPH's daily PDF reports.

Starting 5/10/2021, the date field will represent the date this data was updated on data.ct.gov. Previously the date the data was pulled by DPH was listed, which typically coincided with the date before the data was published on data.ct.gov. This change was made to standardize the COVID-19 data sets on data.ct.gov.

Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Deaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.

This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group.

Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool

Data includes:

• Date on which the death occurred
• Age group
• 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated
• 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated
• 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster

Additional notes

As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm.

As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category.

On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023.

CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags.

The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON.

“Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results.

Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts.

Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different.

Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported.

Rates for the most recent days are subject to reporting lags

All data reflects totals from 8 p.m. the previous day.

This dataset is subject to change.

Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.

This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and age group. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The fatality numbers in this dataset are calculated by assigning age groups to each patient based on the patient age, then summing the patient fatalities within each age group, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all age groups, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each age group by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

This dataset provides values for CORONAVIRUS DEATHS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Abstract Objectives: to describe epidemiological characteristics and deaths in children with cancer and COVID-19 at a reference hospital in Recife, Brazil. Methods: cohort involving children under the age of 19 underwent cancer treatment during April to July 2020. During the pandemic, real-time reverse transcriptase polymerase chain reaction assay (RT-PCR) for severe acute respiratory syndrome coronavirus 2 (SARS -CoV-2) in nasal / oropharyngeal swab were collected in symptomatic patients or before hospitalization. Those with detectable results were included in this cohort study. The outcomes were delayed on cancer treatment and death. Descriptive analysis was performed and presented in preliminary results. Results: 48 children participated in the cohort, mostly with hematological neoplasms (66.6%.),69% were male, median age was 5.5 years. The most frequent symptoms were fever (58.3%) and coughing (27.7%);72.9% required hospitalization, 20% had support in ICU and 10.5% on invasive ventilatory assistance.66.6% of the patients had their oncological treatment postponed, 16.6% died within 60 days after confirmation of SARS-CoV-2 infection. Conclusions: COVID-19 led a delay in the oncological treatment for children with cancer and a higher mortality frequency when compared to the historical series of the service. It would be important to analyze the risk factors to determine the survival impact.

Abstract Objectives: to characterize school-aged children, adolescents, and young people’s profile and their associations with positive COVID-19 test results. Methods: an observational and descriptive study of secondary data from the COVID-19 Panel in Espírito Santo State in February to August 2020. People suspected of COVID-19, in the 0–19-years old age group, were included in order to assess clinical data and demographic and epidemiological factors associated with the disease. Results: in the study period, 27,351 COVID-19 notification were registered in children, adolescents, and young people. The highest COVID-19 test confirmation was found in Caucasians and were 5-14 years age group. It was also observed that headache was the symptom with the highest test confirmation. Infection in people with disabilities was more frequent in the confirmed cases. The confirmation of cases occurred in approximately 80% of the notified registrations and 0.3% of the confirmed cases, died. Conclusion: children with confirmed diagnosis for COVID-19 have lower mortality rates, even though many were asymptomatic. To control the chain of transmission and reduce morbidity and mortality rates, it was necessaryto conduct more comprehensive research and promote extensive testing in the population.

RECOVERY is a randomised trial investigating whether treatment with Lopinavir-Ritonavir, Hydroxychloroquine, Corticosteroids, Azithromycin, Colchicine, IV Immunoglobulin (children only), Convalescent plasma, Casirivimab+Imdevimab, Tocilizumab, Aspirin, Baricitinib, Infliximab, Empagliflozin, Sotrovimab, Molnupiravir, Paxlovid or Anakinra (children only) prevents death in patients with COVID-19.

Provisional counts of the number of deaths and age-standardised mortality rates involving the coronavirus (COVID-19) between 1 March and 17 April 2020 in England and Wales. Figures are provided by age, sex, geographies down to local authority level and deprivation indices.

Children’s self-report of how much they know about COVID-19.

This data is a subset of the Smart Discharges Uganda Under 5 years parent study and is specific to the Phase I observation cohort of children aged 0-6 months collected during the Covid-19 pandemic in 2020. Objective(s): Used as part of the Smart Discharge prediction modelling for adverse outcomes such as post-discharge death and readmission. Data Description: All data were collected at the point of care using encrypted study tablets and these data were then uploaded to a Research Electronic Data Capture (REDCap) database hosted at the BC Children’s Hospital Research Institute (Vancouver, Canada). At admission, trained study nurses systematically collected data on clinical, social and demographic variables. Following discharge, field officers contacted caregivers at 2 and 4 months by phone, and in-person at 6 months, to determine vital status, post-discharge health-seeking, and readmission details. Verbal autopsies were conducted for children who had died following discharge. . Data Processing: Created z-scores for anthropometry variables using height and weight according to WHO cutoff. Distance to hospital was calculated using latitude and longitude. Extra symptom and diagnosis categories were created based on text field in these two variables. BCS score was created by summing all individual components. Limitations: There are missing dates and the admission, discharge, and readmission dates are not in order. Ethics Declaration: This study was approved by the Mbarara University of Science and Technology Research Ethics Committee (No. 15/10-16), the Uganda National Institute of Science and Technology (HS 2207), and the University of British Columbia / Children & Women’s Health Centre of British Columbia Research Ethics Board (H16-02679). This manuscript adheres to the guidelines for STrengthening the Reporting of OBservational studies in Epidemiology (STROBE). NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at sepsiscolab@bcchr.ca or visit our website.

BackgroundCOVID-19 infection is less severe among children than among adults; however, some patients require hospitalization and even critical care. Using data from the French national medico-administrative database, we estimated the risk factors for critical care unit (CCU) admissions among pediatric COVID-19 hospitalizations, the number and characteristics of the cases during the successive waves from January 2020 to August 2021 and described death cases.MethodsWe included all children (age < 18) hospitalized with COVID-19 between January 1st, 2020, and August 31st, 2021. Follow-up was until September 30th, 2021 (discharge or death). Contiguous hospital stays were gathered in “care sequences.” Four epidemic waves were considered (cut off dates: August 11th 2020, January 1st 2021, and July 4th 2021). We excluded asymptomatic COVID-19 cases, post-COVID-19 diseases, and 1-day-long sequences (except death cases). Risk factors for CCU admission were assessed with a univariable and a multivariable logistic regression model in the entire sample and stratified by age, whether younger than 2.ResultsWe included 7,485 patients, of whom 1988 (26.6%) were admitted to the CCU. Risk factors for admission to the CCU were being younger than 7 days [OR: 3.71 95% CI (2.56–5.39)], being between 2 and 9 years old [1.19 (1.00–1.41)], pediatric multisystem inflammatory syndrome (PIMS) [7.17 (5.97–8.6)] and respiratory forms [1.26 (1.12–1.41)], and having at least one underlying condition [2.66 (2.36–3.01)]. Among hospitalized children younger than 2 years old, prematurity was a risk factor for CCU admission [1.89 (1.47–2.43)]. The CCU admission rate gradually decreased over the waves (from 31.0 to 17.8%). There were 32 (0.4%) deaths, of which the median age was 6 years (IQR: 177 days–15.5 years).ConclusionSome children need to be more particularly protected from a severe evolution: newborns younger than 7 days old, children aged from 2 to 13 years who are more at risk of PIMS forms and patients with at least one underlying medical condition.

On behalf of the Press and Information Office of the Federal Government, the opinion research institute forsa has regularly conducted representative population surveys on the subject of the ´Corona crisis´ (COVID-19) from calendar week 12/2020. The individual question areas were adapted according to the survey period. Concerns about infection with the corona virus (self and family members or friends); concerns about infecting others; credibility of information provided by the federal government on the corona crisis; assessment of current policy measures to contain the corona virus (appropriate, go too far or do not go far enough); extent of perceived personal restrictions due to the corona crisis and related measures; vaccination status: Number of Corona vaccinations already received (none, one, two, three); reasons why respondent has not yet had a vaccination against corona virus (open question); willingness to have a vaccination against corona virus; willingness to have a booster vaccination against corona; attempted to make an appointment for a booster vaccination; own children between the ages of 12 and 17; willingness in principle to have own children between the ages of 12 and 17 vaccinated against corona virus. Demography: sex; age (grouped); employment; education; net household income (grouped); party preference in the next general election; voting behaviour in the last general election. Additionally coded: region; federal state; weight. Im Auftrag des Presse- und Informationsamts der Bundesregierung hat das Meinungsforschungsinstitut forsa ab Kalenderwoche 12/2020 regelmäßig repräsentative Bevölkerungsbefragungen zum Thema ´Corona-Krise´ (COVID-19) durchgeführt. Die einzelnen Fragegebiete wurden je nach Befragungszeitraum angepasst. Sorgen bezüglich einer Infektion mit dem Coronavirus (selbst und Familienmitglieder oder Freunde); Sorgen, selbst andere Personen anzustecken; Glaubwürdigkeit der Informationen der Bundesregierung zur Corona-Krise; Bewertung der aktuellen politischen Maßnahmen zur Eindämmung des Corona-Virus (angemessen, gehen zu weit oder gehen nicht weit genug); Ausmaß der empfundenen persönlichen Einschränkungen durch die Corona-Krise und die damit verbundenen Maßnahmen; Impfstatus: Anzahl der bereits erhaltenen Corona-Impfungen (keine, eine, zwei, drei); Gründe warum der Befragte sich bisher noch nicht gegen das Coronavirus hat impfen lassen (offene Frage); Bereitschaft zur Impfung gegen das Coronavirus; Bereitschaft zu einer Auffrischungsimpfung (Boosterimpfung) gegen Corona; versucht, einen Termin für eine Boosterimpfung zu vereinbaren; eigene Kinder im Alter zwischen 12 und 17 Jahren; grundsätzliche Bereitschaft eigene Kinder im Alter zwischen 12 und 17 Jahren gegen das Coronavirus impfen zu lassen. Demographie: Geschlecht; Alter (gruppiert); Erwerbstätigkeit; Schulabschluss; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl. Zusätzlich verkodet wurde: Region; Bundesland; Gewicht. Probability: MultistageProbability.Multistage Wahrscheinlichkeitsauswahl: Mehrstufige ZufallsauswahlProbability.Multistage Telephone interview: Computer-assisted (CATI)Interview.Telephone.CATI

Summary of COVID-19 outbreaks in Ottawa healthcare, childcare and educational establishments, based on the most up to date information available in the the Ontario Ministry of Health Public Health Case and Contact Management Solution (CCM) .

Accuracy: Points of consideration for interpretation of the data: The data was extracted by Ottawa Public Health from the Ontario Ministry of Health Public Health Case and Contact Management Solution (CCM) . The CCM is a dynamic disease reporting system that allows for ongoing updates to data previously entered. The data extracted from The CCM represent a snapshot at the time of extraction and may differ in previous or subsequent reports.Data are for confirmed outbreaks and the number of staff, living in Ottawa, and residents/patients/students with laboratory confirmed COVID-19 associated to each outbreak is provided. Please note, individuals may be linked to multiple outbreaks. All the outbreaks reflect the outbreak definitions at the time they were declared open:Healthcare Institutions: From April 1st 2020, 1 staff or resident case of laboratory-confirmed COVID-19 is considered an outbreak in long-term care homes (LTCH), retirement homes (RH) and other healthcare institutions (e.g. group home, assisted living, group shelter) and declared facility wide. Starting May 10th 2020, 2 staff or patient cases of laboratory-confirmed COVID-19 within a specified hospital unit within a 14-day period where both cases could have reasonably acquired their infection in hospital is considered an outbreak in a public hospital.Childcare & Education: Starting July 2020, 1 child or staff (or household member) case of laboratory-confirmed COVID-19 is considered an outbreak in a childcare establishment. Starting August 26 2020, 2 student or staff (or visitor) cases of laboratory-confirmed COVID-19 within a specified class within a 14-day period where at least one case could have reasonably acquired their infection at school (including transportation and before/after school care) is considered an outbreak in an educational establishment. Update Frequency: Tuesdays and Fridays

Attributes: Data fields: Facility Name – textType of Facility - textLocation in Facility – textReported Date – date the COVID-19 outbreak was openedEnd Date - date the COVID-19 outbreak was closedResident/Patient/Child/Student Cases – number of residents, patients, children, or students with confirmed COVID-19Resident/Patient/Child/Student Cases – number of residents, patients, children, or students with confirmed COVID-19 who diedStaff Cases – number of staff with confirmed COVID-19Staff Deaths – number of staff with confirmed COVID-19 who diedTotal Cases – total number of people with confirmed COVID-19Total Deaths – total number of people with confirmed COVID-19 who died Contact: OPH Epidemiology Team | Epidemiology & Evidence, Ottawa Public Health

On behalf of the Press and Information Office of the Federal Government, the opinion research institute forsa has regularly conducted representative population surveys on the subject of the ´Corona crisis´ (COVID-19) from calendar week 12/2020. The individual question areas were adapted according to the survey period. Concerns about infection with the corona virus (self and family members or friends); concerns about infecting others; credibility of information provided by the federal government on the corona crisis; assessment of current policy measures to contain the corona virus (appropriate, go too far or do not go far enough); extent of perceived personal limitations due to the corona crisis and related measures; vaccination status: Number of Corona vaccinations already received (none, one, two, three); willingness to be vaccinated against Corona virus; willingness to receive a booster vaccination against Corona; trying to make an appointment for a booster vaccination; own children aged between 5 and 11 years or between 12 and 17 years; willingness in principle to vaccinate own children aged between 5 and 11 years or between between 12 and 17 years of age against the corona virus; current place of work: almost exclusively at the place of work outside the home, mainly at the place of work outside the home, mainly at home in a home office, almost exclusively at home in a home office, not at all (e.g. due to lack of orders, short-time work); assessment of the conflicts in Germany between left-wing and right-wing political forces, between young and old, between supporters and opponents of the corona measures and between the vaccinated and the unvaccinated. Demography: sex; age (grouped); employment; education; net household income (grouped); party preference in the next general election; voting behaviour in the last general election. Additionally coded: region; federal state; weight. Im Auftrag des Presse- und Informationsamts der Bundesregierung hat das Meinungsforschungsinstitut forsa ab Kalenderwoche 12/2020 regelmäßig repräsentative Bevölkerungsbefragungen zum Thema ´Corona-Krise´ (COVID-19) durchgeführt. Die einzelnen Fragegebiete wurden je nach Befragungszeitraum angepasst. Sorgen bezüglich einer Infektion mit dem Coronavirus (selbst und Familienmitglieder oder Freunde); Sorgen, selbst andere Personen anzustecken; Glaubwürdigkeit der Informationen der Bundesregierung zur Corona-Krise; Bewertung der aktuellen politischen Maßnahmen zur Eindämmung des Corona-Virus (angemessen, gehen zu weit oder gehen nicht weit genug); Ausmaß der empfundenen persönlichen Einschränkungen durch die Corona-Krise und die damit verbundenen Maßnahmen; Impfstatus: Anzahl der bereits erhaltenen Corona-Impfungen (keine, eine, zwei, drei); Bereitschaft zur Impfung gegen das Coronavirus; Bereitschaft zu einer Auffrischungsimpfung (Boosterimpfung) gegen Corona; versucht, einen Termin für eine Boosterimpfung zu vereinbaren; eigene Kinder im Alter zwischen 5 und 11 Jahren oder zwischen 12 und 17 Jahren; grundsätzliche Bereitschaft eigene Kinder im Alter zwischen 5 und 11 Jahren bzw. zwischen 12 und 17 Jahren gegen das Coronavirus impfen zu lassen; aktueller Arbeitsort: fast ausschließlich an der Arbeitsstätte außer Haus, überwiegend an der Arbeitsstätte außer Haus, überwiegend zu Hause im Home Office, fast ausschließlich zu Hause im Home Office, gar nicht (z.B. wegen fehlender Aufträge, Kurzarbeit); Einschätzung der Konflikte in Deutschland zwischen linken und rechten politischen Kräften, zwischen Jungen und Alten, zwischen Befürwortern und Gegnern der Corona-Maßnahmen sowie zwischen Geimpften und Ungeimpften. Demographie: Geschlecht; Alter (gruppiert); Erwerbstätigkeit; Schulabschluss; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl. Zusätzlich verkodet wurde: Region; Bundesland; Gewicht. Probability: MultistageProbability.Multistage Wahrscheinlichkeitsauswahl: Mehrstufige ZufallsauswahlProbability.Multistage Telephone interview: Computer-assisted (CATI)Interview.Telephone.CATI

Introduction: Respiratory viruses are among the leading causes of disease and death among children. Co-circulation of influenza and SARS-CoV2 can lead to diagnostic and management difficulties given the similarities in the clinical picture.Methods: This is a cohort of all children hospitalized with SARS-CoV2 infection from March to September 3rd 2020, and all children admitted with influenza throughout five flu-seasons (2013–2018) at a pediatric referral hospital. Patients with influenza were identified from the clinical laboratory database. All hospitalized patients with confirmed SARS-CoV2 infection were followed-up prospectively.Results: A total of 295 patients with influenza and 133 with SARS-CoV2 infection were included. The median age was 3.7 years for influenza and 5.3 years for SARS-CoV2. Comorbidities were frequent in both groups, but they were more common in patients with influenza (96.6 vs. 82.7%, p < 0.001). Fever and cough were the most common clinical manifestations in both groups. Rhinorrhea was present in more than half of children with influenza but was infrequent in those with COVID-19 (53.6 vs. 5.8%, p < 0.001). Overall, 6.4% percent of patients with influenza and 7.5% percent of patients with SARS-CoV2 infection died. In-hospital mortality and the need for mechanical ventilation among symptomatic patients were similar between groups in the multivariate analysis.Conclusions: Influenza and COVID-19 have a similar picture in pediatric patients, which makes diagnostic testing necessary for adequate diagnosis and management. Even though most cases of COVID-19 in children are asymptomatic or mild, the risk of death among hospitalized patients with comorbidities may be substantial, especially among infants.

On behalf of the Press and Information Office of the Federal Government, the opinion research institute forsa has regularly conducted representative population surveys on the subject of the ´Corona crisis´ (COVID-19) from calendar week 12/2020. The individual question areas were adapted according to the survey period. Credibility of information provided by the federal government on the corona crisis; assessment of current political measures to contain the coronavirus (appropriate, go too far or do not go far enough); vaccination status: Received first vaccination against the Corona virus, already fully vaccinated or not yet vaccinated; willingness to be vaccinated against the Corona virus; own children aged 12-17; willingness in principle to have own children aged 12-17 vaccinated against the Corona virus; Corona warning app installed and used on smartphone in the last few weeks, app installed but deleted in the meantime or never installed; reasons why the Corona warning app has not been installed so far; knowledge of the new functions of the Corona warning app (anonymous check-in via QR code, display of results of rapid tests, display of digital proof of vaccination); use of these new functions; likelihood of (also) using the Corona warning app in the future. Demography: sex; age (grouped); employment; education; net household income (grouped); party preference in the next general election; voting behaviour in the last general election. Additionally coded: region; federal state; weight. Im Auftrag des Presse- und Informationsamts der Bundesregierung hat das Meinungsforschungsinstitut forsa ab Kalenderwoche 12/2020 regelmäßig repräsentative Bevölkerungsbefragungen zum Thema ´Corona-Krise´ (COVID-19) durchgeführt. Die einzelnen Fragegebiete wurden je nach Befragungszeitraum angepasst. Glaubwürdigkeit der Informationen der Bundesregierung zur Corona-Krise; Bewertung der aktuellen politischen Maßnahmen zur Eindämmung des Coronavirus (angemessen, gehen zu weit oder gehen nicht weit genug); Impfstatus: Erstimpfung gegen das Coronavirus erhalten, bereits vollständig geimpft oder noch nicht geimpft; Bereitschaft zur Impfung gegen das Coronavirus; eigene Kinder im Alter zwischen 12 und 17 Jahren; grundsätzliche Bereitschaft eigene Kinder im Alter zwischen 12 und 17 Jahren gegen das Coronavirus impfen zu lassen; Corona-Warn-App in den letzten Wochen auf dem Smartphone installiert und genutzt, App installiert aber zwischenzeitlich gelöscht oder nie installiert; Gründe, warum die Corona-Warn-App bisher nicht installiert wurde; Kenntnis der neuen Funktionen der Corona-Warn-App (anonymes Einchecken mittels QR-Code, Anzeigen der Ergebnisse von Schnelltests, Anzeigen des digitalen Impfnachweises); Nutzung dieser neuen Funktionen; Wahrscheinlichkeit, die Corona-Warn-App (auch) zukünftig zu nutzen. Demographie: Geschlecht; Alter (gruppiert); Erwerbstätigkeit; Schulabschluss; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz bei der nächsten Bundestagswahl; Wahlverhalten bei der letzten Bundestagswahl. Zusätzlich verkodet wurde: Region; Bundesland; Gewicht.