Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

As of March 7, 2021, there had been a total number of 641,608 confirmed COVID-19 cases and 130,296 deaths among nursing home residents in the United States. The number of COVID-19 cases among nursing home staff in the United States reached 130,296 cases, as of March 7, 2021.

Archived as of 3/16/22: Due to changing LTC reporting requirements, this dataset will no longer be updated after 3/16/2022. For data on Indiana's long term case facilities, please visit: https://data.cms.gov/covid-19/covid-19-nursing-home-data Number of verified COVID-19 related cases and deaths from Long-Term Care Facilities for residents and staff members. Historical case data are aggregated at the facility-level and are reported from 3/1/2020 and updated weekly. Facilities that are in non-compliance with historical case data reporting needs are denoted by "Facility has not submitted data" in the "Facility Submission Status" column. Facilities listed as non-compliant will be updated as necessary with any new submissions of their historical cases to the Indiana State Department of Health. Cases and deaths in this file include records reported by Long-Term Care Facilities and have been verified by ISDH through a positive COVID-19 diagnostic lab result. This data file was constructed to aggregate verified cases and deaths for LTC staff and residents at the facility level. Because residents and staff may be moved between facilities, calculating total verified counts from this data file is not advised. Users should refer to the ISDH LTC dashboard for total counts.

As of 6/1/2023, this data set is no longer being updated. Connecticut nursing homes are required by the Centers for Medicare and Medicaid Services (CMS) to report on the impact of COVID-19 on their residents and staff through CDC’s National Healthcare Safety Network (NHSN). This reporting is intended to reflect recent COVID-19 activity in nursing homes. Data presented here from NHSN reflect resident and staff COVID-19 cases and COVID-related deaths reported for Connecticut nursing homes for the previous week, Thursday–Wednesday. All nursing homes follow NHSN definitions and instructions when reporting to the NHSN COVID-19 module, ensuring data are reported in a systematic way. These data do not show where the resident or staff got infected. Detailed information about COVID-19 reporting for nursing homes and NHSN can be found here: https://www.cdc.gov/nhsn/ltc/covid19/index.html

In order to improve the timely availability of data related to coronavirus (COVID-19) in adult care homes the Welsh Government and Care Inspectorate Wales (CIW) have agreed to publish the number of notifications of deaths of adult care home residents involving COVID-19 (both confirmed and suspected). The location of death may be in the care home, in hospital or another location. The data is not based on laboratory confirmed tests, and not directly comparable with Public Health Wales (PHW) data. In their rapid surveillance dashboard, PHW include some notifications received from care homes with a positive laboratory confirmed test for COVID-19. These data cannot be added together. Welsh Government publish this data to ensure access to the CIW data is transparent and to provide a timely indication of trends for all deaths to care home residents in Wales, from COVID-19 or otherwise.

As of September 27, 2020, there were around 125 COVID-19 deaths per 1,000 residents in nursing homes in Massachusetts. This statistic illustrates the rate of COVID-19 deaths in nursing homes in the United States as of September 27, 2020, by state.

Nursing homes with residents positive for COVID-19 from 4/22/2020 to 6/19/2020.

Starting in July 2020, this dataset will no longer be updated and will be replaced by the CMS COVID-19 Nursing Home Dataset, available at the following link: https://data.ct.gov/Health-and-Human-Services/CMS-COVID-19-Nursing-Home-Dataset/w8wc-65i5.

Methods: 1) Laboratory-confirmed case counts are based upon data reported via the FLIS web portal. Nursing homes were asked to provide cumulative totals of residents with laboratory confirmed covid. This includes residents currently in-house, in the hospital, or who are deceased. Residents were excluded if they tested positive prior to initial admission to the nursing home. 2) The cumulative number of deaths among nursing home residents is based upon data reported by the Office of the Chief Medical Examiner. For public health surveillance, COVID-19-associated deaths include persons who tested positive for COVID-19 around the time of death (laboratory-confirmed) and persons whose death certificate lists COVID-19 disease as a cause of death or a significant condition contributing to death (probable).

Limitations: 1) As of the week of 5/10/20, Point Prevalence Survey testing is being offered to all asymptomatic nursing home residents to inform infection prevention efforts. Point prevalence surveys will be conducted over a period of several weeks. Some nursing homes had adequate testing resources available to conduct surveys prior to this date. Differences in survey timing will impact the number of positive results that a nursing home reports. 2) Cumulative totals of residents testing positive are being collected rather than individual resident data. Thus we cannot verify the counts, de-duplicate, and/or verify whether there is a record of a positive lab test. This may result in either under- or over-counting. 3) The number of COVID-19 positive residents and the number of confirmed deaths among residents are tabulated from different data sources. Due to the timing of availability of test results for deceased residents, it is not appropriate to calculate the percent of cases who died due to COVID-19 at any particular facility based upon this data. 4) The count of deaths reported for 4/14 are not included in this dataset, as they were not broken out by laboratory-confirmed or probable. They can be viewed in the DPH Report here: https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4162020.pdf?la=en

As of May 1 2020, there were over 23 thousand more deaths in care homes in England and Wales than there were on the same date in 2019, with 12.5 thousand of these caused by Coronavirus (COVID-19) and 10.6 thousand due to other causes.

This dataset contains records of publicly reported data on COVID-19 testing in Ontario long-term care homes. It was collected between April 24, 2020 and March 30, 2023.

Summary data is aggregated to the provincial level. Reports fewer than 5 are indicated with <5 to maintain the privacy of individuals.

Data includes:

• Long-term care home COVID-19 summary data
• Long-term care homes with an active COVID-19 outbreak
• Long-term care homes no longer in a COVID-19 outbreak
• Long-term care home COVID-19 summary data by Public Health Unit (PHU)
• Long-term care home COVID-19 staff vaccination rates

An outbreak is defined as two or more lab-confirmed COVID-19 cases in residents, staff or other visitors in a home, with an epidemiological link, within a 14-day period, where at least one case could have reasonably acquired their infection in the long-term care home. Prior to April 7, 2021, the definition required one or more lab-confirmed COVID-19 cases in a resident or staff in the long-term care home.

Notes

February 21 to March 29, 2023: Data is only available for regular business days (for example, Monday through Friday, except statutory holidays)

March 12 – 13, 2022: Due to technical difficulties, data is not available.

September 8, 2022: The data dated September 6, 2022 represents data collected during the period of September 3, 4 and 5, 2022.

October 6, 2022: The data dated October 5, 2022 represents data collected during the period of October 1, 2, 3 and 4, 2022.

October 13, 2022: Due to technical difficulties, data for the date of October 9 is not available.

October 20, 2022: Due to technical difficulties, data for the dates of October 15, 16 is not available.

November 24, 2022: Due to technical difficulties, data is not available.

Summary This layer has been DEPRECATED (last updated 12/1/2021). Was formerly a weekly update. The Outbreak-Associated Cases in Congregate Living data dashboard on coronavirus.maryland.gov was redesigned on 11/17/21 to align with other outbreak reporting. Visit https://opendata.maryland.gov/dataset/MD-COVID-19-Congregate-Outbreak/ey5n-qn5s to view Outbreak-Associated Cases in Congregate Living data as reported after 11/17/21. Confirmed COVID-19 deaths among Maryland residents who live and work in congregate living facilities in Maryland for the reporting period. Description The MD COVID-19 - Total Deaths in Congregate Facility Settings data layer is a total of deaths confirmed by a positive COVID-19 test result that have been reported to MDH in nursing homes, assisted living facilities, group homes of 10 or more and state and local facilities for the reporting period. Data are reported to MDH by local health departments, the Department of Public Safety and Correctional Services and the Department of Juvenile Services. To appear on the list, facilities report at least one confirmed case of COVID-19 over the prior 14 days. Facilities are removed from the list when health officials determine 14 days have passed with no new cases and no tests pending. The list provides a point-in-time picture of COVID-19 case activity among these facilities. Numbers reported for each facility listed reflect totals ever reported for deaths. Data are updated once weekly. Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

As of May 25, 2020, around 81 percent of Canada's COVID-19 deaths were among long-term care residents. This statistic shows the percentage of all COVID-19 deaths in select counrties worldwide that were among long-term care residents as of May 2020.

From the project Web site: "To date, the Long-Term Care COVID Tracker is the most comprehensive dataset about COVID-19 in US long-term care facilities. It compiles crucial data about the effects of the pandemic on a population with extraordinary vulnerabilities to the virus due to age, underlying health conditions, or proximity to large outbreaks.

The dataset compiles all currently available information of COVID-19 cases and related deaths in long-term care facilities—nursing homes, skilled nursing facilities, assisted living facilities, and other care homes—and tracks both residents and staff."

ObjectivesTo assess excess mortality among older adults institutionalized in nursing homes within the successive waves of the COVID-19 pandemic in Catalonia (north-east Spain).DesignObservational, retrospective analysis of population-based central healthcare registries.Setting and participantsIndividuals aged >65 years admitted in any nursing home in Catalonia between January 1, 2015, and April 1, 2022.MethodsDeaths reported during the pre-pandemic period (2015–2019) were used to build a reference model for mortality trends (a Poisson model, due to the event counting nature of the variable “mortality”), adjusted by age, sex, and clinical complexity, defined according to the adjusted morbidity groups. Excess mortality was estimated by comparing the observed and model-based expected mortality during the pandemic period (2020–2022). Besides the crude excess mortality, we estimated the standardized mortality rate (SMR) as the ratio of weekly deaths’ number observed to the expected deaths’ number over the same period.ResultsThe analysis included 175,497 older adults institutionalized (mean 262 days, SD 132), yielding a total of 394,134 person-years: 288,948 person-years within the reference period (2015–2019) and 105,186 within the COVID-19 period (2020–2022). Excess number of deaths in this population was 5,403 in the first wave and 1,313, 111, −182, 498, and 329 in the successive waves. The first wave on March 2020 showed the highest SMR (2.50; 95% CI 2.45–2.56). The corresponding SMR for the 2nd to 6th waves were 1.31 (1.27–1.34), 1.03 (1.00–1.07), 0.93 (0.89–0.97), 1.13 (1.10–1.17), and 1.07 (1.04–1.09). The number of excess deaths following the first wave ranged from 1,313 (2nd wave) to −182 (4th wave). Excess mortality showed similar trends for men and women. Older adults and those with higher comorbidity burden account for higher number of deaths, albeit lower SMRs.ConclusionExcess mortality analysis suggest a higher death toll of the COVID-19 crisis in nursing homes than in other settings. Although crude mortality rates were far higher among older adults and those at higher health risk, younger individuals showed persistently higher SMR, indicating an important death toll of the COVID-19 in these groups of people.

COVID-19 causes significant mortality in elderly and vulnerable people and spreads easily in care homes where one in seven individuals aged > 85 years live. However, there is no surveillance for infection in care homes, nor are there systems (or research studies) monitoring the impact of the pandemic on individuals or systems. Usual practices are disrupted during the pandemic, and care home staff are taking on new and unfamiliar roles, such as advanced care planning. Understanding the nature of these changes is critical to mitigate the impact of COVID-19 on residents, relatives and staff. 20 care homes staff members were interviewed using semi-structured interviews.

The COVID-19 pandemic poses a substantial risk to elderly and vulnerable care home residents and COVID-19 can spread rapidly in care homes. We have national, daily data on people with COVID-19 and deaths, but there is no similar data for care homes. This makes it difficult to know the scale of the problem, and plan how to keep care home residents safe. We also want to understand the impact of COVID-19 on care home staff and residents. Researchers from University College London (UCL) will measure the number of cases of COVID-19 in care homes, using data from Four Seasons Healthcare, a large care home chain. FSHC remove residents' names and addresses before sending the dataset to UCL, protecting resident's confidentiality. Since we cannot visit care homes during the pandemic, we will hold virtual (online) discussion meetings with care home stakeholders (staff, residents, relatives, General Practice teams) every 6-8 weeks, to learn rapid lessons about managing COVID-19 in care homes and identify pragmatic solutions. Our findings will be shared with FHSC, GPs and Public Health England, patients and the public, and support the national response to COVID-19. Patients and the public will be involved in all stages of the research.

This dataset tracks the updates made on the dataset "MD COVID-19 - Total Deaths in Congregate Facility Settings (Nursing Homes, Assisted Living, State and Local Facilities and Group Homes +10 Residents) by County" as a repository for previous versions of the data and metadata.

The data is from a mixed-methods approach to address address three main questions:1 What were the mortality rates in care homes by country? 2. How does the mortality in care homes compare with previous periods? 3. What explains any excess mortality in care homes?List of Tables available in FigshareTable 1. Excess Deaths Study Characteristics Table 2. Care Homes Excess Deaths Study OutcomesTable 3. Quality Assessment: Care Home Excess Deaths studies: Newcastle Ottawa ScaleTable 4. Care Home intervention/exposure studies characteristics Table 5. Care Home intervention/exposure studies outcomesTable 6. Quality Assessment: Care Home Intervention/Exposure studies: Newcastle Ottawa ScaleFigure 1. Flow chartProtocol available at FigshareAppendix 1 National Mortality Data

Updated weekly on Thursdays Older adults and people with disabilities who live in long term care facilities are at high risk for COVID-19 illness and death. The data below describes the impacts of COVID-19 on the residents and staff of Long Term Care Facilities licensed by the State Department of Social and Health Services (DSHS), including Skilled Nursing Facilities (nursing homes); Adult Family Homes and Assisted Living Facilities. Cases and deaths are also occurring in other forms of senior housing not licensed by DSHS, including subsidized housing for people age 50+, Permanent Supportive Housing, and naturally occurring retirement communities (NORCs) and among people with disabilities living in Supportive Living Facilities (also licensed by DSHS).

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

This dataset includes the cumulative number of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date, patient county of residence, and patient fatalities that occurred based on the facility county. 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 county fatality numbers in this dataset are calculated by summing the number of fatalities by patient county of residence and reporting date, and patient fatalities that occurred based on the facility county, respectively. The statewide fatality numbers are calculated by summing the number of fatalities across all patient counties of residence, and across all facilities by county, by reporting date, respectively. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

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.