AndreaBozzo/ceres-open-data-index huggingface dataset:
Indicators of Anxiety or Depression Based on Reported Frequency of Symptoms During Last 7 Days

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households.  The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness.

The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, sex, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions,

Tags: anxiety, covid-19, depression
Organization: U.S. Department of Health & Human Services
Early Model-based Provisional Estimates of Drug Overdose, Suicide, and Transportation-related Deaths

This dataset provides model-based provisional estimates of the weekly numbers of drug overdose, suicide, and transportation-related deaths using “nowcasting” methods to account for the normal lag between the occurrence and reporting of these deaths. Estimates less than 10 are suppressed. These early model-based provisional estimates were generated using a multi-stage hierarchical Bayesian modeling process to generate smoothed estimates of the weekly numbers of death, accounting for reporting lags. These estimates are based on several assumptions about how the reporting lags have changed in recent months across different jurisdictions, and the resulting estimates differ from other sources of provisional mortality data.  For now, these estimates should be considered highly uncertain until further evaluations can be done to determine the validity of these assumptions about timeliness. The true patterns in reporting lags will not be known until data are finalized, typically 11–12 months after the end of the calendar year. Importantly, these estimates are not a replacement for monthly provisional drug overdose death counts, or quarterly provisional mortality estimates. For more detail about the nowcasting methods and models, see:

Rossen LM, Hedegaard H, Warner M, Ahmad FB, Sutton PD. Early provisional estimates of drug overdose, suicide, and transportation-related deaths: Nowcasting methods to account for reporting lags. Vital Statistics Rapid Release; no 11. Hyattsville, MD: National Center for Health Statistics. February 2021. DOI: https://doi.org/10.15620/ cdc:101132

Tags: deaths, drug-overdose, mortality, nchs, nowcasting, nvss, provisional, state, suicide, transport-accidents, united-states, vsrr, weekly
Organization: U.S. Department of Health & Human Services
Obesity among children and adolescents aged 2–19 years, by selected characteristics: United States

Data on obesity among children and adolescents aged 2-19 years by selected population characteristics. Please refer to the PDF or Excel version of this table in the HUS 2019 Data Finder (https://www.cdc.gov/nchs/hus/contents2019.htm) for critical information about measures, definitions, and changes over time. 

SOURCE: NCHS, National Health and Nutrition Examination Survey. For more information on the National Health and Nutrition Examination Survey, see the corresponding Appendix entry at https://www.cdc.gov/nchs/data/hus/hus19-appendix-508.pdf.

Tags: adolescent, adult, african-americans, age, asian-continental-ancestry-group, child, chronic-conditions, continental-population-groups, european-continental-ancestry-group, health-risk-factors, health-us, hispanic-americans, obesity, overweight, poverty, sex
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by County and Age for 2020

Provisional counts of deaths involving coronavirus disease 2019 (COVID-19) by United States county of residence and age group, from January 1, 2020 through December 31, 2020.

Tags: age, age-group, all-causes, coronavirus, county, covid-19, deaths, mortality, nchs, nvss, provisional, united-states, yearly
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by HHS Region, Race, Age 65plus

Deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period, HHS region, race and Hispanic origin, and age groups (<65, 65-74. 75-84, 85+, and 65+).

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Tags: age, age-group, all-causes, children, coronavirus, covid-19, deaths, hhs-region, hispanic-origin, mortality, nchs, nvss, provisional, puerto-rico, race, united-states, weekly
Organization: U.S. Department of Health & Human Services
AH Provisional Cancer Death Counts by Month and Year, 2020-2021

Provisional death counts of malignant neoplasms (cancer) by month and year, and other selected demographics, for 2020-2021. Data are based on death certificates for U.S. residents.

Tags: age, age-group, cancer, deaths, hispanic-origin, monthly, mortality, nchs, nvss, provisional, race, sex, united-states
Organization: U.S. Department of Health & Human Services
NCHS - Drug Poisoning Mortality by State: United States

This dataset describes drug poisoning deaths at the U.S. and state level by selected demographic characteristics, and includes age-adjusted death rates for drug poisoning. 

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances.

REFERENCES
1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm.

2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html.

Tags: deaths, drug-poisoning, mortality, national, nchs, state, united-states
Organization: U.S. Department of Health & Human Services
AH Monthly Provisional Counts of Deaths by Age Group and HHS region for Select Causes of Death, 2019-2021

Provisional counts of deaths by the month the deaths occurred, by age group and HHS region, for select underlying causes of death for 2019-2020. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

Tags: age, age-group, all-causes, alzheimer-disease, cancer, causes-of-death, cerebrovascular-disease, chronic-lower-respiratory-disease, coronavirus, covid-19, deaths, diabetes, diseases-of-heart, hhs-region, influenza, kidney-disease, monthly, mortality, natural-cause, nchs, nvss, pneumonia, provisional, respiratory-disease, septicemia, united-states
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths by Place of Death and State

Effective June 28, 2023, this dataset will no longer be updated. Data deaths by place of death are available in this dataset https://data.cdc.gov/NCHS/d/4va6-ph5s.

Deaths involving  COVID-19, pneumonia and influenza reported to NCHS by place of death and state, United States.

Tags: coronavirus, covid-19, deaths, influenza, monthly, mortality, nchs, nvss, place-of-death, pneumonia, provisional, puerto-rico, state, united-states, yearly
Organization: U.S. Department of Health & Human Services
NCHS - Drug Poisoning Mortality by County: United States

This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning from 1999 to 2015.

Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent).

Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2015 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published.

Estimate does not meet standards of reliability or precision. Death rates are flagged as “Unreliable” in the chart when the rate is calculated with a numerator of 20 or less.

Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Estimates should be interpreted with caution.

Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year during 1999–2015. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates are unavailable for Broomfield County, Colo., and Denali County, Alaska, before 2003 (6,7). Additionally, Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. County boundaries are consistent with the vintage 2005-2007 bridged-race population file geographies (6).

Tags: county, deaths, drug-poisoning, mortality, nchs, united-states
Organization: U.S. Department of Health & Human Services
Excess Deaths Associated with COVID-19

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Estimates of excess deaths can provide information about the burden of mortality potentially related to COVID-19, beyond the number of deaths that are directly attributed to COVID-19. Excess deaths are typically defined as the difference between observed numbers of deaths and expected numbers. This visualization provides weekly data on excess deaths by jurisdiction of occurrence. Counts of deaths in more recent weeks are compared with historical trends to determine whether the number of deaths is significantly higher than expected.

Estimates of excess deaths can be calculated in a variety of ways, and will vary depending on the methodology and assumptions about how many deaths are expected to occur. Estimates of excess deaths presented in this webpage were calculated using Farrington surveillance algorithms (1). For each jurisdiction, a model is used to generate a set of expected counts, and the upper bound of the 95% Confidence Intervals (95% CI) of these expected counts is used as a threshold to estimate excess deaths. Observed counts are compared to these upper bound estimates to determine whether a significant increase in deaths has occurred. Provisional counts are weighted to account for potential underreporting in the most recent weeks. However, data for the most recent week(s) are still likely to be incomplete. Only about 60% of deaths are reported within 10 days of the date of death, and there is considerable variation by jurisdiction. More detail about the methods, weighting, data, and limitations can be found in the Technical Notes.

Tags: all-causes, coronavirus, covid-19, deaths, excess-deaths, mortality, nchs, nvss, provisional, puerto-rico, state, united-states, weekly
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by HHS Region, Race, and Age Group, 2020-2021

Provisional deaths involving coronavirus disease 2019 (COVID-19) reported to NCHS by time-period (week, month, year), HHS region, race and Hispanic origin, and age group (0-24, 25-64, 65+ years) for 2020-2021.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Tags: age, age-group, all-causes, coronavirus, covid-19, deaths, hhs-region, hispanic-origin, monthly, mortality, nchs, nvss, provisional, puerto-rico, race, united-states, weekly, yearly
Organization: U.S. Department of Health & Human Services
AH Monthly Provisional COVID-19 Deaths, by Census Region, Age, and Race and Hispanic Origin

Deaths involving coronavirus disease 2019 (COVID-19) by month of death, region, age, place of death, and race and Hispanic origin.

Tags: age, age-group, census-region, coronavirus, covid-19, deaths, hispanic-origin, monthly, mortality, nchs, nvss, place-of-death, provisional, race, sex, united-states
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by Race and Educational Attainment

Provisional counts of deaths in the United States by race and educational attainment. The dataset includes cumulative provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.

Tags: all-causes, coronavirus, covid-19, deaths, education, hispanic-origin, mortality, nchs, nvss, provisional, race, united-states
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths by HHS Region, Race, and Age

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

Deaths involving COVID-19 reported to NCHS by time-period, HHS region, race and Hispanic origin, and age group.

United States death counts include the 50 states, plus the District of Columbia and New York City. The ten (10) United States Department of Health and Human Services (HHS) regions include the following jurisdictions. Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont; Region 2: New Jersey, New York, New York City, Puerto Rico; Region 3: Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia; Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee; Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin; Region 6: Arkansas, Louisiana, New Mexico, Oklahoma, Texas; Region 7: Iowa, Kansas, Missouri, Nebraska; Region 8: Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming; Region 9: Arizona, California, Hawaii, Nevada; Region 10: Alaska, Idaho, Oregon, Washington.

Tags: age, age-group, all-causes, children, coronavirus, covid-19, deaths, hhs-region, hispanic-origin, mortality, nchs, nvss, provisional, puerto-rico, race, united-states, weekly
Organization: U.S. Department of Health & Human Services
Weekly Counts of Death by Jurisdiction and Select Causes of Death

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This visualization provides weekly data on the number of deaths by jurisdiction of occurrence and cause of death. Counts of deaths in more recent weeks can be compared with counts from earlier years to determine if the number is higher than expected. Selected causes of death are shown, based on analyses of the most prevalent comorbid conditions reported on death certificates where COVID-19 was listed as a cause of death (see https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities). Cause of death counts are based on the underlying cause of death, and presented for Respiratory diseases, Circulatory diseases, Malignant neoplasms, and Alzheimer disease and dementia. Estimated numbers of deaths due to these other causes of death could represent misclassified COVID-19 deaths, or potentially could be indirectly related to COVID-19 (e.g., deaths from other causes occurring in the context of health care shortages or overburdened health care systems). Deaths with an underlying cause of death of COVID-19 are not included in these estimates of deaths due to other causes. Deaths due to external causes (i.e. injuries) or unknown causes are excluded. For more detail, see the Technical Notes.

Tags: alzheimer-disease, cancer, causes-of-death, cerebrovascular-disease, chronic-lower-respiratory-disease, circulatory-disease, deaths, dementia, diabetes, heart-failure, hypertensive-disease, influenza, ischemic-heart-disease, mortality, nchs, nvss, pneumonia, provisional, puerto-rico, renal-failure, respiratory-disease, septicemia, state, united-states, weekly
Organization: U.S. Department of Health & Human Services
Conditions Contributing to COVID-19 Deaths, by State and Age, Provisional 2020-2023

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

This dataset shows health conditions and contributing causes mentioned in conjunction with deaths involving coronavirus disease 2019 (COVID-19) by age group and jurisdiction of occurrence.

2022 and 2023 data are provisional. Estimates for 2020 and 2021 are based on final data.

Tags: adult-respiratory-distress-syndrome, age, age-group, alzheimer-disease, cancer, cardiac-arrest, cardiac-arrhythmia, cerebrovascular-disease, chronic-lower-respiratory-disease, circulatory-disease, coronavirus, covid-19, deaths, dementia, diabetes, health-conditions, heart-failure, hypertensive-disease, influenza, injury, ischemic-heart-disease, monthly, mortality, nchs, nvss, obesity, pneumonia, provisional, puerto-rico, renal-failure, respiratory-arrest, respiratory-disease, respiratory-failure, septicemia, state, united-states, yearly
Organization: U.S. Department of Health & Human Services
AH Provisional COVID-19 Deaths by Hospital Referral Region

Provisional count of deaths involving coronavirus disease 2019 (COVID-19) in the United States by week of death and by hospital referral region (HRR). HRR is determined by county of occurrence. Weekly weighted counts of deaths from all causes and due to COVID-19 are provided by HRR overall and for decedents 65 years and older. The weighted counts by HRRs are based on published methods for aggregating county-level data to HRRs. More detail about aggregating to HRRs from counties can be found in the following: https://github.com/Dartmouth-DAC/covid-19-hrr-mapping
https://dartmouthatlas.org/covid-19/hrr-mapping/

Tags: all-causes, coronavirus, covid-19, deaths, hospital-referral-region, mortality, nchs, nvss, provisional, united-states, weekly
Organization: U.S. Department of Health & Human Services
COVID-19 Hospital Data from the National Hospital Care Survey

The National Hospital Care Survey (NHCS) collects data on patient care in hospital-based settings to describe patterns of health care delivery and utilization in the United States. Settings currently include inpatient and emergency departments (ED). Additionally, the NHCS contributes data that may inform public health emergencies as the survey is designed to capture emerging diseases and viruses that require hospitalizations, including COVID-19 encounters. The 2020 - 2023 NHCS are not yet fully operational so it is important to note that these data are not nationally representative.

The data are from 26 hospitals submitting inpatient and 26 hospitals submitting ED Uniform Bill (UB)-04 administrative claims from March 18, 2020-December 26, 2023.  Even though the data are not nationally representative, they can provide insight on the impact of COVID-19 on various types of hospitals throughout the country. This information is not available in other hospital reporting systems. The NHCS data from these hospitals can show results by a combination of indicators related to COVID-19, such as length of inpatient stay, in-hospital mortality, comorbidities, and intubation or ventilator use. NHCS data allow for reporting on patient conditions and treatments within the hospital over time.

Tags: covid-19, emergency-department, hospital-encounters, inpatient, intubation, mortality, respiratory-illness, screenings, ventilator-use
Organization: U.S. Department of Health & Human Services
Provisional COVID-19 Deaths by County, and Race and Hispanic Origin

Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

County data on race and Hispanic origin is available for counties with more than 100 COVID-19 deaths. Deaths are cumulative from the week ending January 4, 2020 to the most recent reporting week, and based on county of occurrence. Data is provisional. 

Urban-rural classification is based on the 2013 National Center for Health Statistics Urban-Rural Classification Scheme for Counties (https://www.cdc.gov/nchs/data_access/urban_rural.htm).

Tags: all-causes, coronavirus, county, covid-19, deaths, hispanic-origin, mortality, nchs, nvss, provisional, race, united-states
Organization: U.S. Department of Health & Human Services