This dataset compiles daily counts of patients (both COVID-related and non-COVID-related) in adult and pediatric ICU beds and the number of adult and pediatric ICU beds that are unoccupied.

**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
• number of adults in ICU for COVID-related critical illness (CRCI)_**_
• number of adults in ICU for non-CRCI reasons
• number of adult ICU beds that are unoccupied
• total number of adults in ICU for any reason
• number of patients in pediatric ICU for COVID-related critical illness (CRCI)_**_
• number of patients in pediatric ICU beds for non-CRCI reasons
• number of pediatric ICU beds that are unoccupied
• total number of patients in pediatric ICU beds for any reason

**These results may not match the CRCI cases in ICU reported elsewhere (on Ontario.ca) as they are restricted to either adults only or pediatric patients only and do not include cases in other ICU bed types.

• ICU data includes patients in levels 2 and 3 adult or pediatric ICU beds. The reported numbers reflect the previous day’s values. Patients are counted at a single point in time (11:59 pm) to ensure that each person is only counted once, and their COVID status is updated at 6 am, prior to posting. This may vary slightly from similar sources who update at different times.
• COVID-related critical illness (CRCI) includes patients currently testing positive for COVID and patients in ICU due to COVID who are no longer testing positive for COVID.
• Since the start of the pandemic, the province has invested in “incremental” ICU beds to accommodate potential surges in ICU demand due to COVID. These beds were added at various points in time (i.e., October 2020, February 2021, April 2021) to ensure system preparedness and meet operational needs. Aligned with the decline of Wave 3 and COVID-related pressures and at the direction of Ontario Health, a number of these beds were brought offline in July 2021. These events account for the sudden increases and/or decreases in ICU beds seen in the data. The number of ICU beds continues to fluctuate slightly as beds are brought on and offline to meet localized demands/need.

Modifications to this data

Data for the period of October 24, 2023 to March 24, 2024 excludes hospitals in the West region who were experiencing data availability issues.

Daily adult, pediatric, and neonatal patient ICU census data were impacted by technical issues between September 9 and October 20, 2023. As a result, when public reporting resumes on November 16, 2023, historical ICU data for this time period will be excluded.

January 18, 2022: Information on pediatric ICU beds was added to the file for the period of May 2020 to present.

January 7, 2022: Due to some methodology changes, historical data were impacted during the following timeframes:

• May 1, 2020 to October 22, 2020.
• February 19, 2021 to July 26, 2021.

How the data was impacted

To ensure system preparedness throughout the pandemic, hospitals were asked to identify the number of beds (i.e., non-ICU beds) and related resources that could be made available within 24 hours for use as an ICU bed in case of a surge in COVID patients. These beds were considered expanded ICU capacity and were not used to calculate hospitals’ ICU occupancy. These beds were previously included in this data.

The current numbers include only funded ICU beds based on data from the Critical Care Information System (CCIS).

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: Please note that data for the 30th of May 2023 is missing from this dataset.If you are downloading this data set as a CSV please follow these steps to sort the dataset by date.1. Click the 'Download' button.2. In the download pane that opens on the left, click the 'Download' button under CSV. This should be the first option.3. Open the file.4. Highlight column D by click 'D'.5. In the ribbon, in the Editing group click 'Sort & Filter'.6. From the drop down menu that appears select the first option to sort from oldest to newest.7. In the pop-up window that appears make sure that 'Expand the selection' is selected.8. Click 'Sort', the dataset will now be sorted by date. See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021. Between 14th May 2021 and 29th July 2021 only the fields 'Number of confirmed COVID-19 cases Admitted on site' (SUM_number_of_confirmed_covid_19_ca) and 'Number of new COVID-19 cases confirmed in the past 24 hrs' (SUM_number_of_new_covid_19_cases_co) in this service were updated.The fields 'Number of New Admissions COVID-19 Positive previous 24hrs' (SUM_no_new_admissions_covid19_p) and 'Number of Discharges COVID-19 Positive previous 24hrs' (SUM_no_discharges_covid19_posit) have no data during this period of time. Detailed dataset containing a range of COVID-19 related indicators for Acute Hospitals in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of 29 Acute Hospitals. Data has been provided by the HSE Performance Management Improvement Unit (PMIU).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub. .hidden { display: none }

Please see FAQ for latest information on COVID-19 Data Hub Data Flows: https://covid-19.geohive.ie/pages/helpfaqs. Notice: See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021.** Due to the ongoing disruption to the HSE IT systems, until further notice the updates for this Open Data service will be provided once daily. These fields are 'nCovidConf' (ncovidconf), 'nDischCovidConf' (ndischcovidconf) and 'nAdmitCovidConf' (adcconf). **Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO). This service and Ireland's COVID-19 Data Hub are built using the GeoHive platform, Ireland's Geospatial Data Hub.

Notice: See the section What impact has the cyber-attack of May 2021 on the HSE IT systems had on reporting of COVID-19 data on the Data Hub? in the FAQ for information about issues in data from May 2021.** Due to the ongoing disruption to the HSE IT systems, until further notice the updates for this Open Data service will be provided once daily. These fields are 'nCovidConf' (ncovidconf), 'nDischCovidConf' (ndischcovidconf) and 'nAdmitCovidConf' (adcconf). **Dataset on COVID-19 patients in Intensive Care Units in Ireland. Data is provided for Confirmed COVID-19 cases and the number of new admissions and discharges. Data is based on an aggregate of all public and private ICU/HDU hospitals (including surge units). Data has been provided by the National Office of Clinical Audit (NOCA) ICU Bed Information System (ICU-BIS).This service is used in Ireland's COVID-19 Data Hub, produced as a collaboration between Tailte Éireann, the Central Statistics Office (CSO), the Department of Housing, Planning and Local Government, the Department of Health, the Health Protection Surveillance Centre (HPSC), and the All-Island Research Observatory (AIRO).

Dataset containing COVID-19 related indicators for Acute Hospitals in Ireland, as at 8am daily. Data is provided for Confirmed COVID-19 cases in hospital and the number of new admissions and discharges in the past 24 hrs. Data is based on an aggregate of 29 public Acute Hospitals (adult and paediatric). Data provided by the Health Service Executive (HSE). Time series dataset from March 2020 to November 2025. ** The Health Service Executive’s (HSE) IT systems suffered a major cyber-attack on Friday 14th May 2021. Between 14th May 2021 and 29th July 2021 only the fields 'Number of confirmed COVID-19 cases Admitted on site' (SUM_number_of_confirmed_covid_19_ca) and 'Number of new COVID-19 cases confirmed in the past 24 hrs' (SUM_number_of_new_covid_19_cases_co) in this service were updated with no data available for the other fields. ** Notice:If you are downloading this dataset as a CSV please follow these steps to sort the dataset by date. 1. Click the 'Download' button. 2. In the download pane that opens on the left, click the 'Download' button under CSV. This should be the first option. 3. Open the file. 4. Highlight column D by click 'D'. 5. In the ribbon, in the Editing group click 'Sort & Filter'. 6. From the drop-down menu that appears select the first option to sort from oldest to newest. 7. In the pop-up window that appears make sure that 'Expand the selection' is selected. 8. Click 'Sort', the dataset will now be sorted by date.

This is the data set for the study "Frequency of antimicrobial-resistant bloodstream infections in Thailand, 2022"Hospital_code: Hospital codesHospital_level: 0 defines hospital level A; 1 defines hospital level S; 2 defines hospital level M1. In 2022, there were 127 referral public hospitals in health regions 1 to 12 Thailand. These included 35 advanced-level referral hospitals (i.e. level A, with a bed size of about 500-1200 beds), 55 standard-level referral hospitals (i.e. level S, with a bed size of about 300 to 500) and 37 mid-level referral hospitals (i.e. level M1, with a bed size of about 180-300)Health_region: 1 to 12. In 2022, there were 77 provinces in Thailand. The health systems in each province were integrated into 12 groups of provinces, known as health regions, plus the capital Bangkok as health region 13.Number_of_records_h: Total number of hospital admissionsBed_count: Hospital bed sizeBed_count_S_100: Standardized hospital bed size by centering at the mean value and divided by 100GPP_2021: Gross Provincial Product (Million Baht)GPP_2021_S: Standardized Gross Provincial Product by centering at the mean value and divided by the standard deviationPerc_tested_for_CAB: Percentage of patients having blood culture taken within the first two calendar days of hospital admissionPerc_tested_for_CAB_S_5: Standardized percentage of patients having blood culture taken within the first two calendar days of hospital admission by centering at the mean value and divided by 5Perc_tested_for_HAB: Percentage of patients having the first blood culture taken after the first two calendar days of hospital admissionPerc_tested_for_HAB_S_1: Standardized percentage of patients having the first blood culture taken after the first two calendar days of hospital admission by centering at the mean value and divided by 1N_3GCREC_co: Total number of patients with community-origin 3GCREC BSIN_CRAB_ho: Total number of patients with hospital-origin CRAB BSIN_BCtested_for_CAB: Total number of patients having blood culture taken after the first two calendar days of hospital admissionN_BCtested_for_HAB: Total number of patients having the first blood culture taken after the first two calendar days of hospital admissionIRt_3GCREC_co: Frequency of community-origin 3GCREC BSI per 100,000 patients having blood culture taken within the first two calendar days of hospital admissionIRt_3GCRKP_co: Frequency of community-origin 3GCRKP BSI per 100,000 patients having blood culture taken within the first two calendar days of hospital admissionIRt_CRAB_ho: Frequency of hospital-origin CRAB BSI per 100,000 patients having the first blood culture taken after the first two calendar days of hospital admissionIRt_CREC_ho: Frequency of hospital-origin CREC BSI per 100,000 patients having the first blood culture taken after the first two calendar days of hospital admissionIRt_CRKP_ho: Frequency of hospital-origin CRKP BSI per 100,000 patients having the first blood culture taken after the first two calendar days of hospital admissionIRt_MRSA_ho: Frequency of hospital-origin MRSA BSI per 100,000 patients having the first blood culture taken after the first two calendar days of hospital admission

This is a data set of the study "Epidemiology of Burkholderia pseudomallei, Streptococcus suis, Salmonella spp., Shigella spp. and Vibrio spp. infections in 111 hospitals in Thailand, 2022"For "TH_2022_74_provinces_NBD.xls"Province_code: Province codesHealth_region: 1 to 12. In 2022, there were 77 provinces in Thailand. The health systems in each province were integrated into 12 groups of provinces, known as health regions, plus the capital Bangkok as health region 13.Pop_2022: Population in each province in 2022 in ThailandPig_density: Pig density, calculated by dividing total number of pigs in 2022 with total area (square kilometers) at provincial levelPig_densitiy_S: standardized Pig_densitiy, calculated by by subtracting the sample mean from each province's value of that covariate and then dividing the resultant quantity by the standard deviation of that covariatePoultry_density: Poultry density, calculated by dividing total number of pigs in 2022 with total area (square kilometers) at provincial levelPoultry_density_S: standardized Poultry_density, calculated by by subtracting the sample mean from each province's value of that covariate and then dividing the resultant quantity by the standard deviation of that covariateGPP_2021: Gross Provincial Product (Million Baht)GPP_2021_S: standardized GPP_2021, calculated by by subtracting the sample mean from each province's value of that covariate and then dividing the resultant quantity by the standard deviation of that covariateBps_PROV: Total number of patients with Burkholderia pseudomallei infection diagnosed by culture at the province.Bru_PROV: Total number of patients with Brucella spp. infection diagnosed by culture at the province.Cdi_PROV: Total number of patients with Corynebacterium diphtheriae infection diagnosed by culture at the province.Ngo_PROV: Total number of patients with Neisseria gonorrhoeae diagnosed by culture at the province.Nme_PROV: Total number of patients with Neisseria meningitidis infection diagnosed by culture at the province.Nts_PROV: Total number of patients with non-typhoidal Salmonella spp. infection diagnosed by culture at the province.Shi_PROV: Total number of patients with Shigella spp. infection diagnosed by culture at the hospital.Spa_PROV: Total number of patients with Salmonella enterica serovar Paratyphi infection diagnosed by culture at the province.Sty_PROV: Total number of patients with Salmonella enterica serovar Typhi diagnosed by culture at the province.Ssu_PROV: Total number of patients with Streptococcus suis infection diagnosed by culture at the province.Vib_PROV: Total number of patients with Vibrio spp. diagnosed by culture at the province.For "TH_2022_111_hospitals_NBD.xls"Hospital_code: Hospital codesHospital_level: 0 defines hospital level A; 1 defines hospital level S; 2 defines hospital level M1. In 2022, there were 127 referral public hospitals in health regions 1 to 12 Thailand. These included 35 advanced-level referral hospital (i.e. level A, with a bed size of about 500-1,200 beds), 55 standard-level referral hospital (i.e. level S, with a bed size of about 300 to 500) and 37 mid-level referral hospital (i.e. level M1, with a bed size of about 180-300)Health_region: 1 to 12. In 2022, there were 77 provinces in Thailand. The health systems in each province were integrated into 12 groups of provinces, known as health regions, plus the capital Bangkok as health region 13.Number_of_records_h: Total number of hospital admissionsBed_count: Hospital bed sizePerc_tested_for_CAB: Percentage of patients having blood culture taken within the first two calendar days of hospital admissionPig_density: Pig density, calculated by dividing total number of pigs in 2022 with total area (square kilometers) at provincial levelPoultry_density: Poultry density, calculated by dividing total number of pigs in 2022 with total area (square kilometers) at provincial levelGPP_2021: Gross Provincial Product (Million Baht)Bps_N: Total number of patients with Burkholderia pseudomallei infection diagnosed by culture at the hospital.Bru_N: Total number of patients with Brucella spp. infection diagnosed by culture at the hospital.Cdi_N: Total number of patients with Corynebacterium diphtheriae infection diagnosed by culture at the hospital.Ngo_N: Total number of patients with Neisseria gonorrhoeae diagnosed by culture at the hospital.Nme_N: Total number of patients with Neisseria meningitidis infection diagnosed by culture at the hospital.Nts_N: Total number of patients with non-typhoidal Salmonella spp. infection diagnosed by culture at the hospital.Shi_N: Total number of patients with Shigella spp. infection diagnosed by culture at the hospital.Spa_N: Total number of patients with Salmonella enterica serovar Paratyphi infection diagnosed by culture at the hospital.Sty_N: Total number of patients with Salmonella enterica serovar Typhi diagnosed by culture at the hospital.Ssu_N: Total number of patients with Streptococcus suis infection diagnosed by culture at the hospital.Vib_N: Total number of patients with Vibrio spp. diagnosed by culture at the hospital.Bps_D: Total number of deaths following cases with Burkholderia pseudomallei infection diagnosed by culture at the hospital.Bru_D: Total number of deaths following cases with Brucella spp. infection diagnosed by culture at the hospital.Cdi_D: Total number of deaths following cases with Corynebacterium diphtheriae infection diagnosed by culture at the hospital.Ngo_D: Total number of deaths following cases with Neisseria gonorrhoeae infection diagnosed by culture at the hospital.Nme_D: Total number of deaths following cases with Neisseria meningitidis infection diagnosed by culture at the hospital.Nts_D: Total number of deaths following cases with non-typhoidal Salmonella spp. infection diagnosed by culture at the hospital.Shi_D: Total number of deaths following cases with Shigella spp. infection diagnosed by culture at the hospital.Spa_D: Total number of deaths following cases with Salmonella enterica serovar Paratyphi infection diagnosed by culture at the hospital.Sty_D: Total number of deaths following cases with Salmonella enterica serovar Typhi infection diagnosed by culture at the hospital.Ssu_D: Total number of deaths following cases with Streptococcus suis infection diagnosed by culture at the hospital.Vib_D: Total number of deaths following cases with Vibrio spp. infection diagnosed by culture at the hospital.Cache files of selected referencesRef 12. Department of Disease Control, Ministry of Public Health, Thailand. Communicable Disease Act B.E. 2558 (A.D. 2015). Available from: https://ddc.moph.go.th/law_gcd_eng.phpRef 21. Jongudomsuk P, Srithamrongsawat S, Patcharanarumol W, et al. The Kingdom of Thailand Health System Review. 2015. Available from: https://apo.who.int/docs/librariesprovider15/publications/hits/thailand_health_systems_review_th.pdfRef 22. Ministry of Public Health, Thailand. List of Healthcare Facilities under Health Administration Division, Ministry of Public Health, Thailand. 2023. Available form: http://dmsic.moph.go.th/index/detail/9188Ref 23. Department of Medical Science, Ministry of Public Health, Thailand. Laboratory manual for emerging diseases for regional and general hospitals. 2021. Available from: https://www3.dmsc.moph.go.th/download/files/dmsc_recurrence.pdfRef 35. Department of Disease Control, Ministry of Public Health, Thailand. Guideline of Melioidosis. 2021. Available from: http://klb.ddc.moph.go.th/dataentry/handbook/form/129Ref 40. Bangkok Post. Fighting pork smugglers. 2023. Available from: https://www.bangkokpost.com/opinion/opinion/2667934/fighting-pork-smugglersRef 49. Healthcare Accreditation Institute, Thailand. Resource data: general data of hospitals. 2022. Available from: https://data.go.th/dataset/hospital