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Twitterhttps://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
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.
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 โ 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.
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TwitterThe 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. The 2004 NNHS included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE). Nursing assistants were considered eligible to participate in the survey if they 1) provided assistance with activities of daily living (ADLs); 2) were paid to provide those services; 3) were certified (or in the process of certification) to provide Medicare/Medicaid reimbursable services; 4) worked at least 16 hours per week; and 5) were employees of the nursing home and not contract employees. A sample of up to eight nursing assistants was selected from about half of the nursing home sample at the time of the facility interview. The NNAS was administered after the nursing home visit, using a computer-assisted telephone interview (CATI) system.
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TwitterInformation on residential care services by type of homes, number of homes, number of places
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TwitterSummary 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.
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TwitterPayroll Based Journal Employee Detail Nursing Home Staffing
Description
The Payroll Based Journal (PBJ) Employee Detail Nursing Home Staffing dataset provides information submitted by nursing homes including rehabilitation services on a quarterly basis. The data include a system generated employee identification number, work date, job type and employment status, and hours worked for each nursing home employee. Note: This full dataset contains more records than mostโฆ See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/payroll-based-journal-employee-detail-nursing-home.
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TwitterNursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who canโt be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.
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Twitterhttps://infinity-db.co.uk/https://infinity-db.co.uk/
Our care homes database contains residential and nursing care homes, and includes valid care home email addresses by size and region.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Totals and percentages of nursing and residential care facility employee annual hours worked, for nurses, physicians and therapists, direct care support workers, and indirect care employees, in 2019, by 2017 NAICS (North American Industry Classification System), for Canada, provinces and territories, annual.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Provisional counts of the number of care home resident deaths registered in England and Wales, by region, including deaths involving coronavirus (COVID-19), in the latest weeks for which data are available.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
This dataset provides Census 2021 estimates that classify usual residents aged 65 years and over living in a care home in England and Wales. The estimates are as at Census Day, 21 March 2021.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
๐ Collection of Privacy-Sensitive Conversations between Care Workers and Care Home Residents in an Residential Care Home ๐
The dataset is useful to train and evaluate models to identify and classify privacy-sensitive parts of conversations from text, especially in the context of AI assistants and LLMs.
The provided data format is .jsonl, the JSON Lines text format, also called newline-delimited JSON. An example entry looks as follows.
{ "text": "CW: Have you ever been to Italy? CR: Oh, yes... many years ago.", "taxonomy": 0, "category": 0, "affected_speaker": 1, "language": "en", "locale": "US", "data_type": 1, "uid": 16, "split": "train" }
The data fields are:
text: a string feature. The abbreviaton of the speakers refer to the care worker (CW) and the care recipient (CR).taxonomy: a classification label, with possible values including informational (0), invasion (1), collection (2), processing (3), dissemination (4), physical (5), personal-space (6), territoriality (7), intrusion (8), obtrusion (9), contamination (10), modesty (11), psychological (12), interrogation (13), psychological-distance (14), social (15), association (16), crowding-isolation (17), public-gaze (18), solitude (19), intimacy (20), anonymity (21), reserve (22). The taxonomy is derived from Rueben et al. (2017). The classifications were manually labeled by an expert.category: a classification label, with possible values including personal-information (0), family (1), health (2), thoughts (3), values (4), acquaintance (5), appointment (6). The privacy category affected in the conversation. The classifications were manually labeled by an expert.affected_speaker: a classification label, with possible values including care-worker (0), care-recipient (1), other (2), both (3). The speaker whose privacy is impacted during the conversation. The classifications were manually labeled by an expert.language: a string feature. Language code as defined by ISO 639.locale: a string feature. Regional code as defined by ISO 3166-1 alpha-2.data_type: a string a classification label, with possible values including real (0), synthetic (1).uid: a int64 feature. A unique identifier within the dataset.split: a string feature. Either train, validation or test.The dataset has 2 subsets:
split: with a total of 95 examples split into train, validation and test (70%-15%-15%)unsplit: with a total of 95 examples in a single train split| name | train | validation | test |
|---|---|---|---|
| split | 66 | 14 | 15 |
| unsplit | 95 | n/a | n/a |
The files follow the naming convention subset-split-language.jsonl. The following files are contained in the dataset:
split-train-en.jsonlsplit-validation-en.jsonlsplit-test-en.jsonlunsplit-train-en.jsonlRecording audio of care workers and residents during care interactions, which includes partial and full body washing, giving of medication, as well as wound care, is a highly privacy-sensitive use case. Therefore, a dataset is created, which includes privacy-sensitive parts of conversations, synthesized from real-world data. This dataset serves as a basis for fine-tuning a local LLM to highlight and classify privacy-sensitive sections of transcripts created in care interactions, to further mask them to protect privacy.
The intial data was collected in the project Caring Robots of TU Wien in cooperation with Caritas Wien. One project track aims to facilitate Large Languge Models (LLM) to support documentation of care workers, with LLM-generated summaries of audio recordings of interactions between care workers and care home residents. The initial data are the transcriptions of those care interactions.
The transcriptions were thoroughly reviewed, and sections containing privacy-sensitive information were identified and marked using qualitative data analysis software by two experts. Subsequently, the accessible portions of the interviews were translated from German to US English using the locally executed LLM icky/translate. In the next step, another llama3.1:70b was used locally to synthesize the conversation segments. This process involved generating similar, yet distinct and new, conversations that are not linked to the original data. The dataset was split using the train_test_split function from the <a href="https://scikit-learn.org/1.5/modules/generated/sklearn.model_selection.train_test_split.html" target="_blank"
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
An estimation of the size of the self-funding population in care homes in England, using an experimental method. Weighted annual data broken down by geographic variables and care home characteristics.
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TwitterMinimum Data Set Frequency
Description
The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessmentsโฆ See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/minimum-data-set-frequency.
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TwitterThe 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system and included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE).
The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.
Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.
The total number of nursing home facilities that participated in NNHS is 1,174 and the total number of nursing assistants that participated in the National Nursing Assistant Survey is 3,017.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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TwitterCare Homes provide a residential setting for people that require 24 hour care. The majority of Care Homes provide services for older people, but some offer services to Children and those with Mental or Sensory Impairments.
All Care Homes in the UK are registered, inspected and listed by the relevant authority, which in England and Wales is currently the Care Quality Commission (CQC) There are two main categories of care home; those which provide only personal care and those which also provide nursing care. In addition, some Care Homes provide specialist care, eg for Dementia or Terminal Illness
Care Homes are often run by groups. In these instances we provide the group name and details and record a link from each home to its parent organisation, but we list each home as separate entities due to each having their own considerations/services.
Type of ownership:
The database details the type of ownership of the Homes
Private Homes run by individuals, partnerships and public and private limited companies.
Voluntary Homes that are run by Charities such as The Leonard Cheshire Foundation or Mencap.
Public Homes that are run by Local Authorities and NHS Trusts
Number of beds:
We list the number of Beds for each organisation. The average size of home is approximately 20 beds, whilst only 10% have more than 50 beds. There are almost 3,000 homes with five or fewer beds. These usually provide very specific types of care, including provision for Care in the Community and, if privately owned, should not normally be regarded as commercial undertakings.
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TwitterNursing 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
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TwitterBy Health Data New York [source]
This dataset contains information related to the compliance and performance of Nursing Homes in New York State. It includes the Tag Number, Federal Regulation Citation (CFR), Tag Type, Tag Title, Tag Text, Bed Type, Bed Count and an indication of whether or not it is included in other types of facilities. You can use this data to understand the regulatory requirements for operating a nursing home in NY as well as insights into how these facilities are able to comply with those regulations. With this information you can gain actionable insight into how nursing homes are regulated across New York State and what areas may be due for improvement
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This dataset provides information on the compliance profiles of nursing homes in New York State. The data includes details associated with Standard and Requirement tags issued by the Federal Government and the State of New York. Each tag is identified with a unique tag number, along with its type, title, text, Citation of Federal Regulation (CFR), bed count and bed types included in each nursing home facility. In addition to this primary data, there is also a label associated with former variables which was included at some points in time but has since been removed from the current dataset.
Using this dataset, you can learn about the standards and regulations that apply to individual facilities within New York State to help you determine if they are compliant with existing rules or not. You can also use it to analyze trends in compliance levels across all nursing home facilities within a certain geographical area or for different bed types across multiple locations. Additionally, you can use it to discover any discrepancies between federal regulations and state rules as well as spot any potential areas for improvement for particular facilities or across regions/beds types when compared to national averages etc
- Analyzing tag numbers and regulations to assess overall nursing home compliance with State standards and identify areas for improvement.
- Identifying trends in bed types and bed count across facilities to adjust resource allocations based on facility needs.
- Assessing whether certain nursing homes are included in other types of facilities, such as assisted living or long term care, to better understand the context of their operations or potential partnerships with other providers
If you use this dataset in your research, please credit the original authors. Data Source
See the dataset description for more information.
File: REGULATIONS.csv | Column name | Description | |:---------------|:---------------------------------------------------------------------| | TAG_NUMBER | Unique identifier for each tag. (Integer) | | CFR | Citation to the Federal Regulation associated with the tag. (String) | | TAG_TYPE | Type of tag (e.g. deficiency, enforcement, etc.). (String) | | TAG_TITLE | Title of the tag. (String) | | TAG_TEXT | Text of the tag. (String) |
File: BED_DETAIL.csv | Column name | Description | |:-----------------------------|:------------------------------------------------------------------------------------| | BED_TYPE | The type of bed available in the nursing home. (String) | | BED_COUNT | The number of beds available in the nursing home. (Integer) | | INCLUDED_IN_OTHER_TYPES | Whether or not the nursing home is included in other types of facilities. (Boolean) | | LABEL OF FORMER VARIABLE | The label of the former variable. (String) |
If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Health Data New York.
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Twitterhttps://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms
A nursing home is commonly referred to as a skilled nursing facility, long term care (LTC) facility, or rest home, and may have a different standardized name throughout the United States, but is most commonly referred to as a nursing home. A nursing home traditionally offers 24-hour (skilled) nursing to the elderly or to disabled patients having a variety of medical conditions who require personal care services above that of an assisted living but do not require hospitalization. The personal care services provided may or may not include, but are not limited to: skilled nursing, long term inpatient care, room and board, meals, laundry, and assistance with: dressing, grooming, getting in and out of bed, medications, bathing, and toileting. For purposes of this dataset, an assisted living facility is defined as a facility where the elderly, who are not related to the operator, reside and receive care, treatment, or services. Although not at the level of a nursing home, the services are above the level of an independent living community. They may include several hours per week of supportive care, personal care, or nursing care per resident. Generally, an assisted living facility offers help in daily living (laundry, cooking, cleaning, etc.) and personal assistance (bathing, eating, clothing, etc.). Many assisted living facilities offer assistance with medication and a lesser level of nursing care than what is offered at a nursing home. Assisted living facilities may be regulated by size restrictions depending on which type of assisted living facility it is considered to be in the state in which it exists. For example, Adult Family Homes in Wisconsin have between 3-4 elderly residents while Community Based Residential Facilities have 5 or more. Almost every state has different terminology to describe their version of the assisted living facility system. The structures in which assisted living facilities exist are varied as well. Depending on the type, an assisted living facility may operate out of a personal residence or a nursing home style structure, and it may be set up as apartment style living or as a campus setting in a continuing care retirement community. Multiple assisted living facilities may exist at one location or may be co-located with nursing homes and/or other similar health care facilities. If a facility is licensed by a state and holds multiple licenses, it is represented once in this dataset for each license, even if the licenses are for the same location. This dataset does not include retirement communities, adult daycare facilities, or rehabilitation facilities. Nursing Homes that are operated by and co-located with a hospital are also excluded because the locations are included in the hospital dataset. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard fields populated by TechniGraphics. Double spaces were replaced by single spaces in these same fields. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on this field, the oldest record dates from 09/22/2009 and the newest record dates from 01/08/2010.
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Twitterhttps://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario
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.
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 โ 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.