3 datasets found
  1. d

    DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC...

    • catalog.data.gov
    • data.cityofnewyork.us
    Updated Sep 2, 2023
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    data.cityofnewyork.us (2023). DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC hospitals for Covid-19 like Illness [Dataset]. https://catalog.data.gov/dataset/dohmh-covid-19-milestone-data-daily-number-of-people-admitted-to-nyc-hospitals-for-covid-1
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    data.cityofnewyork.us
    Area covered
    New York
    Description

    This dataset shows the number of hospital admissions for influenza-like illness, pneumonia, or include ICD-10-CM code (U07.1) for 2019 novel coronavirus. Influenza-like illness is defined as a mention of either: fever and cough, fever and sore throat, fever and shortness of breath or difficulty breathing, or influenza. Patients whose ICD-10-CM code was subsequently assigned with only an ICD-10-CM code for influenza are excluded. Pneumonia is defined as mention or diagnosis of pneumonia. Baseline data represents the average number of people with COVID-19-like illness who are admitted to the hospital during this time of year based on historical counts. The average is based on the daily avg from the rolling same week (same day +/- 3 days) from the prior 3 years. Percent change data represents the change in count of people admitted compared to the previous day. Data sources include all hospital admissions from emergency department visits in NYC. Data are collected electronically and transmitted to the NYC Health Department hourly. This dataset is updated daily. All identifying health information is excluded from the dataset.

  2. Leading causes of death, total population, by age group

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +2more
    Updated Feb 19, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Leading causes of death, total population, by age group [Dataset]. http://doi.org/10.25318/1310039401-eng
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    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

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

  3. CDPH-Wastewater Surveillance Data, California

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, xlsx, zip
    Updated Mar 16, 2025
    + more versions
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    California Department of Public Health (2025). CDPH-Wastewater Surveillance Data, California [Dataset]. https://data.chhs.ca.gov/dataset/wastewater-surveillance-data-california
    Explore at:
    zip, xlsx(17565), xlsx(24747), csv(16729), xlsx(13407), xlsx(25358), csv(218)Available download formats
    Dataset updated
    Mar 16, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Area covered
    California
    Description

    The California Department of Public Health (CDPH) is coordinating with wastewater utilities, local health departments, academic researchers, and laboratories in California on wastewater surveillance for infectious disease pathogens of interest to public health (such as SARS-CoV-2, the virus causing COVID-19, influenza, respiratory syncytial virus (RSV), mpox, and norovirus). Data collected from this network of participants, called the California Surveillance of Wastewaters (Cal-SuWers) Network, are submitted to the U.S. Centers for Disease Control and Prevention (CDC) National Wastewater Surveillance System (NWSS).

    Collecting and analyzing wastewater samples for the presence of, and amount of (concentration), a specified pathogen target can help inform public health about circulation of that infectious disease within a community. Data from wastewater testing do not replace existing public health surveillance systems but complement them. While wastewater surveillance cannot determine the exact number of infected persons in the area being monitored, it can provide overall trends of pathogen concentration within that community.

    Please note that data included in the Cal-SuWers Network and available here originate from multiple programs and laboratories. Methodologies for producing wastewater data are not currently standardized, and analyses, comparisons, and aggregations should be done with caution. Wastewater is a complex environmental sample and inherent variability in measured concentrations is expected due to environmental variability, day-to-day differences in sewershed and population dynamics, differences in the amount of shedding between people and pathogens, and laboratory and sampling variability. Please see the CDPH Cal-SuWers, CDC NWSS, and CDC Public Health interpretation and Use of Wastewater Surveillance data webpages for more information.

    Historical wastewater data can be found here.

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    Learn how you can add new datasets to our index.

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Click to copy link
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data.cityofnewyork.us (2023). DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC hospitals for Covid-19 like Illness [Dataset]. https://catalog.data.gov/dataset/dohmh-covid-19-milestone-data-daily-number-of-people-admitted-to-nyc-hospitals-for-covid-1

DOHMH Covid-19 Milestone Data: Daily Number of People Admitted to NYC hospitals for Covid-19 like Illness

Explore at:
Dataset updated
Sep 2, 2023
Dataset provided by
data.cityofnewyork.us
Area covered
New York
Description

This dataset shows the number of hospital admissions for influenza-like illness, pneumonia, or include ICD-10-CM code (U07.1) for 2019 novel coronavirus. Influenza-like illness is defined as a mention of either: fever and cough, fever and sore throat, fever and shortness of breath or difficulty breathing, or influenza. Patients whose ICD-10-CM code was subsequently assigned with only an ICD-10-CM code for influenza are excluded. Pneumonia is defined as mention or diagnosis of pneumonia. Baseline data represents the average number of people with COVID-19-like illness who are admitted to the hospital during this time of year based on historical counts. The average is based on the daily avg from the rolling same week (same day +/- 3 days) from the prior 3 years. Percent change data represents the change in count of people admitted compared to the previous day. Data sources include all hospital admissions from emergency department visits in NYC. Data are collected electronically and transmitted to the NYC Health Department hourly. This dataset is updated daily. All identifying health information is excluded from the dataset.

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