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604 Results
This dataset includes information on all positive tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and COVID-19 case rates by age group. The data will be updated weekly, reflecting tests reported by 12:00 AM three days prior to the date of the update.
Total positives includes both PCR and antigen positive test results.
Note: This is an updated version of the statewide cases by age dataset that includes all reported cases, both first infections and reinfections. An archived version of the prior dataset, which includes only first infections, is available: https://health.data.ny.gov/d/h8ay-wryy
Updated
December 11 2023
Views
759
This dataset includes information on the number of positive tests of individuals for COVID-19 infection performed in New York State beginning March 1, 2020, when the first case of COVID-19 was identified in the state. The primary goal of publishing this dataset is to provide users timely information about local disease spread and reporting of positive cases. The data will be updated daily, reflecting tests reported by 12:00 am (midnight) three days prior. Data are published on a three-day lag in order to allow all test results to be reported.
Reporting of SARS-CoV2 laboratory testing results is mandated under Part 2 of the New York State Sanitary Code. Clinical laboratories, as defined in Public Health Law (PHL) § 571 electronically report test results to the New York State Department of Health (DOH) via the Electronic Clinical Laboratory Reporting System (ECLRS). The DOH Division of Epidemiology’s Bureau of Surveillance and Data System (BSDS) monitors ECLRS reporting and ensures that all results are accurate.
Test counts are based on specimen collection date. A person may have multiple specimens tested on one day, these would be counted one time, i.e., if two specimens are collected from an individual at the same time and then evaluated, the outcome of the evaluation of those two samples to diagnose the individual is counted as a single test of one person, even though the specimens may be tested separately. All positive test results that are at least 90 days apart are counted as cases/new positives.
New positive test counts are assigned to a county based on this order of preference: 1) the patient’s address, 2) the ordering healthcare provider/campus address, or 3) the ordering facility/campus address.
Archived versions of the reinfections dataset are also available:
First infections - https://health.data.ny.gov/d/xdss-u53e
Reinfections - https://health.data.ny.gov/d/7aaj-cdtu
First infections - https://health.data.ny.gov/d/xdss-u53e
Reinfections - https://health.data.ny.gov/d/7aaj-cdtu
Updated
December 11 2023
Views
13,765
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 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.
Updated
December 11 2023
Views
38,153
This dataset includes information at the reporting facility level on patients hospitalized, admitted, discharged and fatalities. It also includes information on staffed beds. Patient information collected as part of the HERDS Hospital Survey are lab-confirmed COVID-19 positive. Hospitalized means patients admitted as inpatients in either inpatient or observation beds and does not include patients that were treated and released from an Emergency Department. The title of this dataset was initially the Hospital Electronic Response Data System (HERDS) Hospital Survey: COVID-19 Hospitalizations and Beds. The dataset was changed to its current title on 11/4/2021.
Updated
December 11 2023
Views
100,589
Dataset includes the unique ID of a sample, the viral concentration in a sample, the concentration of human fecal indicators in samples, flow rates, locations, etc. These data can be used to analyze trends of SARS-CoV-2 concentrations in sewer system on a week-to-week basis and estimate COVID-19 transmission rates. For more information, visit https://www.health.ny.gov/environmental/wastewater.htm.
Updated
December 11 2023
Views
3,184
This dataset contains information extracted from Certificate of Need (CON) applications, Limited Review Applications (LRAs) and Notices submitted by health care and long term care providers licensed by the New York State Department of Health.
Updated
December 11 2023
Views
70,195
This dataset shows the lead testing in school drinking water sampling and results information reported by each NYS public school and Boards of Cooperative Educational Services (BOCES) for Compliance Year 2020.
Public Health Law (Section 110) and New York State (NYS) Department of Health regulation (10 NYCRR 67-4) mandate that NYS public school districts and BOCES test drinking water for lead contamination and report the results to parents, the NYS Department of Health, NY State Education Department, and local health departments. The regulation required school districts and BOCES complete their sampling by the fall of 2016, and test again in 2020, and at least every five years thereafter or at an earlier time as determined by the Commissioner of Health. This dataset shows the results of lead testing in school drinking water reported by each public school district and BOCES for Compliance Year 2020.
The Lead Testing in School Drinking Water regulations may be found here: https://regs.health.ny.gov/book/export/html/56608
Additional information about the Lead Testing in School Drinking Water program may be found here:
http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm
Additional information about the Lead Testing in School Drinking Water program may be found here:
http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm
Data from other compliance years are also available on Health Data NY.
Updated
December 11 2023
Views
21,794
This data includes the name and location of food service establishments and the violations that were found at the time of their last inspection. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. This dataset is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm
Updated
December 9 2023
Views
498,270
The point map shows violations found during the last inspection of the food service establishments. The initial view of the map is broken up into large geographic areas and displays the number of violations in each area. To drill down to a smaller geographic area, click directly on the area of the map or click the plus sign to zoom in on the map. The map can be filtered by facility, city, and county by changing these options under the Filter tab. Last inspection data is the most recently submitted and available data. Although violation details are collected on inspection reports (i.e., the actual food item, quantity and temperature of food found out of temperature control) as well as corrective actions for critical violations, this data set is limited to the violation number and the corresponding general violation description. Requests for more detailed information or actual copies of inspection reports should be directed to the local health department or State District Office which conducted the inspections in question. This map is for reporting purposes only. Any concerns about individual establishments should be referred to the corresponding Local Health Department. Contact information can be found at http://www.health.ny.gov/environmental/water/drinking/doh_pub_contacts_map.htm
This map excludes inspections conducted in New York City (https://nycopendata.socrata.com/), Suffolk County
(http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This map is currently updated monthly. Occasionally, remediation may not appear until the following month due to the timing of the updates. Some counties provide this information on their own websites and information found there may be more frequently updated.
(http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This map is currently updated monthly. Occasionally, remediation may not appear until the following month due to the timing of the updates. Some counties provide this information on their own websites and information found there may be more frequently updated.
For more information, please see: https://regs.health.ny.gov/volume-title-10/1997429580/subpart-14-1-food-service-establishments
Updated
December 9 2023
Views
224,793
This data includes the name and location of active food service establishments and the violations that were found at the time of the inspection. Inspections are a snapshot in time and are not always reflective of the day-to-day operations and overall condition of an establishment.
Updated
December 9 2023
Views
89,791
This data includes the name and location of inactive food service establishments and the violations that were found at the time of the inspection. Inactive food service establishments include only establishments that are no longer in business or have not operated for an extended period of time. Inspections are a “snapshot” in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This dataset is refreshed on a monthly basis.
Updated
December 9 2023
Views
59,033
This dataset includes nursing home and adult care facility reported information of resident and staff COVID-19 vaccination status for each facility by each week.
The information in this dataset is updated weekly.
Updated
December 8 2023
Views
4,206
Effective July 14, 2009, physician offices that perform surgical or invasive procedures using more than mild sedation must be accredited by one of three accrediting agencies. The NYSDOH collects OBS practice site accreditation data from each of the accrediting agencies monthly. The OBS practice accreditation site data is used to keep an accurate list of accredited OBS practice sites for patient safety and regulatory efforts. For more information, visit https://www.health.ny.gov/professionals/office-based_surgery/ .
Tags
No tags assigned
Updated
December 8 2023
Views
1,738
Effective July 14, 2009, physician offices that perform surgical or invasive procedures using more than mild sedation must be accredited by one of three accrediting agencies. The NYSDOH collects OBS practice site accreditation data from each of the accrediting agencies monthly. The OBS practice accreditation site data is used to keep an accurate list of accredited OBS practice sites for patient safety and regulatory efforts. For more information, visit https://www.health.ny.gov/professionals/office-based_surgery/.
Updated
December 8 2023
Views
2,251
Note: As of November 10, 2023, this dataset will be updated weekly on Friday afternoons.
This dataset reports daily on the number of people vaccinated by New York providers who have received a dose of the updated COVID-19 vaccine authorized on September 12, 2023. New York providers include hospitals, pharmacies, and other providers registered with the State to serve as points of distribution.
This dataset is created by the New York State Department of Health from data reported to the New York State Immunization Information System (NYSIIS). County-level vaccination data is based on data reported to NYSIIS by the providers administering vaccines. Residency is self-reported by the individual being vaccinated. This dataset includes limited data on vaccines administered through Federal entities (Veterans Health Administration) or performed outside of New York State to New York residents and will not be reflective of every dose administered to New York State residents in those settings. It does not include residents of New York City. NYSIIS data is used for county-level statistics.
These data represent a lower-bound estimate on updated COVID-19 vaccination totals. With the end of the COVID-19 public health emergency, COVID-19 vaccination records are no longer required to be submitted to NYSIIS for adults 19+. Reporting remains mandatory for children 18 and under.
Updated
December 8 2023
Views
215
This dataset includes weekly counts of laboratory-confirmed influenza (flu) cases, by county and influenza type, going back to the 2009-10 season. The primary goal of this dataset is to provide users timely information about local influenza activity throughout the current influenza season. Although each influenza season is unique, historical data is also provided for trend comparison. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance 2021-2022 season beyond May until influenza activity has decreased. In view of persisting elevated influenza activity throughout NYS, NYSDOH is extending the surveillance season beyond May until influenza activity has decreased.
Cases are included that meet the New York State Department of Health’s (NYSDOH) standardized case definition, i.e., a positive result on any of the following influenza laboratory tests:
• Rapid Influenza Diagnostic Tests (RIDT)
• Immunofluorescence assays (DFA and IFA)
• Rapid Molecular Assays
• Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)
• Other Nucleic Acid Amplification tests
• Viral Culture
Please see the overview document for more details about NYSDOH’s influenza case definition. Cases reported during the CDC-defined influenza surveillance season (week 40-week 20 of the next calendar year; October through mid-May) are included. For more information see: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/.
• Rapid Influenza Diagnostic Tests (RIDT)
• Immunofluorescence assays (DFA and IFA)
• Rapid Molecular Assays
• Reverse Transcriptase Polymerase Chain Reaction (RT-PCR)
• Other Nucleic Acid Amplification tests
• Viral Culture
Please see the overview document for more details about NYSDOH’s influenza case definition. Cases reported during the CDC-defined influenza surveillance season (week 40-week 20 of the next calendar year; October through mid-May) are included. For more information see: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/.
Updated
December 8 2023
Views
47,841
This dataset includes weekly aggregate counts of persons hospitalized with laboratory-confirmed influenza (flu), by county beginning with the 2020-21 season. The primary goal of this dataset is to provide users timely information about influenza-associated hospitalizations throughout the current influenza season. Although each influenza season is unique, historical data is provided for trend comparison.
Updated
December 8 2023
Views
134
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.
Updated
December 7 2023
Views
10,777
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.
Updated
December 7 2023
Views
13,227
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Updated
December 7 2023
Views
10,692
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Updated
December 7 2023
Views
11,148
The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for Patient Safety Indicators generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The PSIs are a set of indicators providing information on potential in hospital complications and adverse events following surgeries, procedures, and childbirth. The PSIs were developed by AHRQ after a comprehensive literature review, analysis of ICD-9-CM codes, review by a clinician panel, implementation of risk adjustment, and empirical analyses.
All PSI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) PSI measures.
The mortality, volume and utilization measures PSIs are presented by hospital as rates or counts. Area-level measures are presented by county as rates.
Updated
December 7 2023
Views
12,978
The Professional Medical Conduct Board Actions data consist of all public actions taken against physicians, physician assistants, specialist assistants, and medical professional corporations pursuant to Section 230 of the New York State Public Health Law and Section 6530 of the New York State Education Law.
Updated
December 7 2023
Views
101,764
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
Note: The full dataset may be downloaded in a smaller, compressed file format from the attachments section.
Updated
December 7 2023
Views
86
The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.
Note: The full dataset may be downloaded in a smaller, compressed file format from the attachments section.
Updated
December 7 2023
Views
4,032
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