100+ datasets found
  1. Number of influenza deaths in the United States from 2011-2024

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Number of influenza deaths in the United States from 2011-2024 [Dataset]. https://www.statista.com/statistics/1124915/flu-deaths-number-us/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The burden of influenza in the United States can vary from year to year depending on which viruses are circulating, how many people receive an influenza vaccination, and how effective the vaccination is in that particular year. During the 2023-2024 flu season, around 28,000 people lost their lives to the disease. Although most people recover from influenza without needing medical care, the disease can be deadly among young children, the elderly, and those with weakened immune systems or chronic illnesses. Deaths due to influenza Even though most people recover from influenza without medical care, influenza and pneumonia can be deadly, especially for older people and those with certain preexisting conditions. Influenza is a common cause of pneumonia and although most cases of influenza do not develop into pneumonia, those that do are often more severe and more deadly. Deaths due to influenza are most common among the elderly, with a mortality rate of around 32 per 100,000 population during the 2023-2024 flu season. In comparison, the mortality rate for those aged 50 to 64 years was 9.1 per 100,000 population. Flu vaccinations The most effective way to prevent influenza is to receive an annual influenza vaccination. These vaccines have proven to be safe and are usually cheap and easily accessible. Nevertheless, every year a large share of the population in the United States still fails to get vaccinated against influenza. For example, in the 2022-2023 flu season, only 35 percent of those aged 18 to 49 years received a flu vaccination. Unsurprisingly, children and the elderly are the most likely to get vaccinated. It is estimated that during the 2022-2023 flu season, vaccinations prevented over 929 thousand influenza cases among children aged 6 months to 4 years.

  2. Mortality rate for influenza in the U.S. in 2023-2024, by age group

    • statista.com
    Updated Nov 15, 2024
    + more versions
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    Statista (2024). Mortality rate for influenza in the U.S. in 2023-2024, by age group [Dataset]. https://www.statista.com/statistics/1127799/influenza-us-mortality-rate-by-age-group/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023 - 2024
    Area covered
    United States
    Description

    The mortality rate from influenza in the United States is by far highest among those aged 65 years and older. During the 2023-2024 flu season, the mortality rate from influenza for this age group was around 32.1 per 100,000 population. The burden of influenza The impact of influenza in the U.S. varies from season to season, but in the 2023-2024 flu season, there were an estimated 40 million cases. These cases resulted in around 470,000 hospitalizations. Although most people recover from influenza without requiring medical treatment, the disease can be deadly for young children, the elderly, and those with weakened immune systems or chronic illnesses. During the 2023-2024 flu season, around 28,000 people in the U.S. lost their lives due to influenza. Impact of vaccinations The most effective way to prevent influenza is to receive an annual vaccination at the beginning of flu season. Flu vaccines are safe and can greatly reduce the burden of the disease. During the 2022-2023 flu season, vaccinations prevented around 2,479 deaths among those aged 65 years and older. Although flu vaccines are usually cheap and easily accessible, every year a large share of the population in the U.S. still does not get vaccinated. For example, during the 2022-2023 flu season, only about 35 percent of those aged 18 to 49 years received a flu vaccination.

  3. Deaths due to COVID-19 compared with deaths from influenza and pneumonia

    • gov.uk
    Updated Oct 8, 2020
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    Office for National Statistics (2020). Deaths due to COVID-19 compared with deaths from influenza and pneumonia [Dataset]. https://www.gov.uk/government/statistics/deaths-due-to-covid-19-compared-with-deaths-from-influenza-and-pneumonia
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    Dataset updated
    Oct 8, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  4. Deaths by influenza and pneumonia in the U.S. 1950-2023

    • statista.com
    • abripper.com
    Updated Nov 29, 2025
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    Statista (2025). Deaths by influenza and pneumonia in the U.S. 1950-2023 [Dataset]. https://www.statista.com/statistics/184574/deaths-by-influenza-and-pneumonia-in-the-us-since-1950/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Influenza and pneumonia caused around 10.9 deaths in the U.S. per 100,000 population in 2023. Influenza, or the flu, is a viral infection that is highly contagious and especially common in the winter season. Influenza is a common cause of pneumonia, although most cases of the flu do not develop into pneumonia. Pneumonia is an infection or inflammation of the lungs and is particularly deadly among young children and the elderly. Influenza cases Influenza is very common in the United States, with an estimated 40 million cases reported in 2023-2024. Common symptoms of the flu include cough, fever, runny or stuffy nose, sore throat and headache. Symptoms can be mild but can also be severe enough to require medical attention. In 2023-2024, there were around 18 million influenza-related medical visits in the United States. Prevention To prevent contracting the flu, people can take everyday precautions such as regularly washing their hands and avoiding those who are sick, but the best way to prevent the flu is by receiving the flu vaccination every year. Receiving a flu vaccination is especially important for young children and the elderly, as they are most susceptible to flu complications and associated death. In 2024, around 70 percent of those aged 65 years and older received a flu vaccine, while only 33 percent of those aged 18 to 49 years had done so.

  5. Influenza Mortality

    • nationmaster.com
    Updated Jan 5, 2021
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    NationMaster (2021). Influenza Mortality [Dataset]. https://www.nationmaster.com/nmx/ranking/influenza-mortality
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    Dataset updated
    Jan 5, 2021
    Dataset authored and provided by
    NationMaster
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    1960 - 2019
    Area covered
    Netherlands, Australia, South Africa, Canada, Iceland, Spain, Brazil, Chile, United States, United Kingdom
    Description

    Australia Influenza Mortality jumped by 8% in 2019, from a year earlier.

  6. D

    Provisional Death Counts for Influenza, Pneumonia, and COVID-19

    • data.cdc.gov
    • data.virginia.gov
    • +4more
    csv, xlsx, xml
    Updated Nov 2, 2023
    + more versions
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    NCHS/DVS (2023). Provisional Death Counts for Influenza, Pneumonia, and COVID-19 [Dataset]. https://data.cdc.gov/National-Center-for-Health-Statistics/Provisional-Death-Counts-for-Influenza-Pneumonia-a/ynw2-4viq
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    Nov 2, 2023
    Dataset authored and provided by
    NCHS/DVS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Deaths counts for influenza, pneumonia, and COVID-19 reported to NCHS by week ending date, by state and HHS region, and age group.

  7. How coronavirus (COVID-19) compares with flu as a cause of death

    • gov.uk
    • s3.amazonaws.com
    Updated May 23, 2022
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    Office for National Statistics (2022). How coronavirus (COVID-19) compares with flu as a cause of death [Dataset]. https://www.gov.uk/government/statistics/how-coronavirus-covid-19-compares-with-flu-as-a-cause-of-death
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    Dataset updated
    May 23, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  8. u

    Influenza death rates by county, 2019-2023 - Dataset - Healthy Communities...

    • midb.uspatial.umn.edu
    Updated Oct 24, 2025
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    (2025). Influenza death rates by county, 2019-2023 - Dataset - Healthy Communities Data Portal [Dataset]. https://midb.uspatial.umn.edu/hcdp/dataset/influenza-death-rates-by-county-2019-2023
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    Dataset updated
    Oct 24, 2025
    Description

    Influenza death rates by county, all races (includes Hispanic/Latino), all sexes, all ages, 2019-2023. Death data were provided by the National Vital Statistics System. Death rates (deaths per 100,000 population per year) are age-adjusted to the 2000 US standard population (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by the National Cancer Institute. The US Population Data File is used for mortality data. The Average Annual Percent Change is based onthe APCs calculated by the Joinpoint Regression Program (Version 4.9.0.0). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties. Counties with a (3) after their name may have their joinpoint regresssion model calculated using a different time period due to data availability issues.

  9. Deaths from Pneumonia and Influenza (P&I) and all deaths, by state and...

    • s.cnmilf.com
    • catalog.data.gov
    Updated Nov 10, 2020
    + more versions
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    Centers for Disease Control and Prevention (2020). Deaths from Pneumonia and Influenza (P&I) and all deaths, by state and region, National Center For Health Statistics Mortality Surveillance System [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/deaths-from-pneumonia-and-influenza-pi-and-all-deaths-by-state-and-region-national-center-
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    No description provided

  10. Estimating Influenza Deaths in Canada, 1992–2009

    • plos.figshare.com
    xlsx
    Updated May 30, 2023
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    Dena L Schanzer; Claire Sevenhuysen; Brian Winchester; Teresa Mersereau (2023). Estimating Influenza Deaths in Canada, 1992–2009 [Dataset]. http://doi.org/10.1371/journal.pone.0080481
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Dena L Schanzer; Claire Sevenhuysen; Brian Winchester; Teresa Mersereau
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Canada
    Description

    BackgroundPoisson regression modelling has been widely used to estimate the disease burden attributable to influenza, though not without concerns that some of the excess burden could be due to other causes. This study aims to provide annual estimates of the mortality and hospitalization burden attributable to both seasonal influenza and the 2009 A/H1N1 pandemic influenza for Canada, and to discuss issues related to the reliability of these estimates.MethodsWeekly time-series for all-cause mortality and regression models were used to estimate the number of deaths in Canada attributable to influenza from September 1992 to December 2009. To assess their robustness, the annual estimates derived from different parameterizations of the regression model for all-cause mortality were compared. In addition, the association between the annual estimates for mortality and hospitalization by age group, underlying cause of death or primary reason for admission and discharge status is discussed.ResultsThe crude influenza-attributed mortality rate based on all-cause mortality and averaged over 17 influenza seasons prior to the 2009 A/H1N1 pandemic was 11.3 (95%CI, 10.5 - 12.1) deaths per 100 000 population per year, or an average of 3,500 (95%CI, 3,200 - 3,700) deaths per year attributable to seasonal influenza. The estimated annual rates ranged from undetectable at the ecological level to more than 6000 deaths per year over the three A/Sydney seasons. In comparison, we attributed an estimated 740 deaths (95%CI, 350–1500) to A(H1N1)pdm09. Annual estimates from different model parameterizations were strongly correlated, as were estimates for mortality and morbidity; the higher A(H1N1)pdm09 burden in younger age groups was the most notable exception.InterpretationWith the exception of some of the Serfling models, differences in the ecological estimates of the disease burden attributable to influenza were small in comparison to the variation in disease burden from one season to another.

  11. Deaths due to COVID-19 compared with deaths from influenza and pneumonia

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 8, 2020
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    Office for National Statistics (2020). Deaths due to COVID-19 compared with deaths from influenza and pneumonia [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsduetocovid19comparedwithdeathsfrominfluenzaandpneumonia
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    xlsxAvailable download formats
    Dataset updated
    Oct 8, 2020
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Provisional counts of the number of death occurrences in England and Wales due to coronavirus (COVID-19) and influenza and pneumonia, by age, sex and place of death.

  12. Influenza_death

    • kaggle.com
    zip
    Updated Apr 1, 2024
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    willian oliveira (2024). Influenza_death [Dataset]. https://www.kaggle.com/willianoliveiragibin/influenza-death
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    zip(2814 bytes)Available download formats
    Dataset updated
    Apr 1, 2024
    Authors
    willian oliveira
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    this graph was created in OurDataWorld, R , Loocker and Tableau

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fcae3bb501c71af31a491739671842d0d%2Fgraph1.png?generation=1712001396965624&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Fb9bb57abd368d522f4f70edd77e44cd5%2Fgraph2.png?generation=1712001404173500&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2Ffcc4718729d85efd4fb21eb4cdfb1ee3%2Fgraph3.jpg?generation=1712001411161330&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16731800%2F3a1dd72755f5473cf5f9c0758edc1dd3%2Fgraph4.png?generation=1712001416526151&alt=media" alt="">

    Introduction: Seasonal influenza, often perceived as a common illness, carries a significant global burden, claiming hundreds of thousands of lives annually. Despite advancements in healthcare and vaccination efforts, the flu remains a formidable threat, particularly affecting vulnerable populations such as infants and the elderly. This article delves into the intricacies of influenza-related mortality, examining regional disparities, contributing factors, and the implications for public health.

    The Global Landscape of Influenza Mortality: Data from the Global Pandemic Mortality Project II sheds light on the magnitude of influenza-related deaths, drawing from surveillance metrics spanning from 2002 to 2011. These estimates, while informative, underscore the challenge of accurately gauging mortality rates, especially in low-income countries where testing and mortality records may be lacking.

    Respiratory Symptoms and Beyond: The conventional understanding of influenza-related fatalities primarily revolves around respiratory complications. Pneumonia and other respiratory ailments serve as prominent causes of death, contributing to the staggering toll of 400,000 lives claimed annually. However, it is imperative to acknowledge that the impact of influenza extends beyond respiratory symptoms. Complications such as strokes and heart attacks, though not explicitly captured in mortality estimates, further amplify the disease's lethality, warranting comprehensive preventive measures.

    Vulnerability Across Age Groups: Influenza's lethality is not uniform across age demographics. Infants and the elderly emerge as the most susceptible cohorts, bearing the brunt of severe complications and mortality. Among individuals aged over 65, the mortality rate stands at approximately 31 per 100,000 in Europe alone, reflecting the disproportionate impact on older populations. The interplay of age-related factors, including weakened immune responses and underlying health conditions, exacerbates the severity of influenza outcomes among these groups.

    Regional Disparities and Determinants: A notable aspect of influenza mortality lies in its disparate distribution across regions. While Europe and North America exhibit relatively lower death rates, countries in South America, Africa, and South Asia grapple with higher mortality burdens. This regional divide underscores the complex interplay of socio-economic factors, healthcare accessibility, and vaccination coverage. Poverty, inadequate healthcare infrastructure, and suboptimal vaccination rates converge to heighten vulnerability to influenza-related complications, amplifying mortality rates in resource-constrained settings.

    Implications for Public Health: The revelation of significant regional differentials in influenza mortality necessitates a tailored approach to public health interventions. Strengthening healthcare systems, particularly in low-income regions, is paramount to bolstering surveillance, enhancing diagnostic capabilities, and facilitating timely interventions. Furthermore, targeted vaccination campaigns, coupled with education initiatives, hold promise in mitigating influenza's toll, especially among vulnerable populations. Addressing socio-economic disparities and bolstering healthcare resilience emerge as pivotal strategies in fortifying global defenses against seasonal influenza.

    Conclusion: Seasonal influenza, often underestimated in its impact, exacts a substantial toll on global health each year. The multifaceted nature of influenza-related mortality underscores the need for a nuanced understanding and comprehensive mitigation strategies. By addressing regional disparities, prioritizing vulnerable populations, and fortifying healthcare systems, the global community can strive towards mitigating the burden of seasonal influenza, safeguarding lives, and fostering resilient health systems for generations to come.

  13. National flu and COVID-19 surveillance reports: 2024 to 2025 season

    • gov.uk
    Updated Jul 3, 2025
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    UK Health Security Agency (2025). National flu and COVID-19 surveillance reports: 2024 to 2025 season [Dataset]. https://www.gov.uk/government/statistics/national-flu-and-covid-19-surveillance-reports-2024-to-2025-season
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    UK Health Security Agency
    Description

    These reports summarise the surveillance of influenza, COVID-19 and other seasonal respiratory illnesses in England.

    Weekly findings from community, primary care, secondary care and mortality surveillance systems are included in the reports.

    This page includes reports published from 18 July 2024 to the present.

    Please note that after the week 21 report (covering data up to week 20), this surveillance report will move to a condensed summer report and will be released every 2 weeks.

    Previous reports on influenza surveillance are also available for:

    View the pre-release access list for these reports.

    Our statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/">Code of Practice for Statistics that all producers of Official Statistics should adhere to.

  14. Influenza Surveillance

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, xlsx, zip
    Updated Nov 7, 2025
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    California Department of Public Health (2025). Influenza Surveillance [Dataset]. https://data.chhs.ca.gov/dataset/influenza-surveillance
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    zip, xlsx(12964), csv(327359), xlsx(13717), csv(3251635), xlsx(11551), csv(1735127)Available download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset contains the following files for California influenza surveillance data: 1) Outpatient Influenza-like Illness Surveillance Data by Region and Influenza Season from volunteer sentinel providers; 2) Clinical Sentinel Laboratory Influenza and Other Respiratory Virus Surveillance Data by Region and Influenza Season from volunteer sentinel laboratories; and 3) Public Health Laboratory Influenza Respiratory Virus Surveillance Data by Region and Influenza Season from California public health laboratories. The Immunization Branch at the California Department of Public Health (CDPH) collects, compiles and analyzes information on influenza activity year-round in California and produces a weekly influenza surveillance report during October through May. The California influenza surveillance system is a collaborative effort between CDPH and its many partners at local health departments, public health and clinical laboratories, vital statistics offices, healthcare providers, clinics, emergency departments, and the Centers for Disease Control and Prevention (CDC). California data are also included in the CDC weekly influenza surveillance report, FluView, and help contribute to the national picture of Influenza activity in the United States. The information collected allows CDPH and CDC to: 1) find out when and where influenza activity is occurring; 2) track influenza-related illness; 3) determine what influenza viruses are circulating; 4) detect changes in influenza viruses; and 5) measure the impact influenza is having on hospitalizations and deaths.

  15. Number of deaths from influenza Japan 2015-2024

    • statista.com
    Updated Sep 26, 2025
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    Statista (2025). Number of deaths from influenza Japan 2015-2024 [Dataset]. https://www.statista.com/statistics/1133568/japan-number-deaths-influenza/
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    Dataset updated
    Sep 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2024, the number of deaths from influenza in Japan increased to ***** cases. This marked an increase compared to just **** cases in the previous year.

  16. Provisional Percent of Deaths for COVID-19, Influenza, and RSV

    • catalog.data.gov
    • data.virginia.gov
    • +3more
    Updated Sep 28, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Provisional Percent of Deaths for COVID-19, Influenza, and RSV [Dataset]. https://catalog.data.gov/dataset/provisional-percent-of-deaths-for-covid-19-influenza-and-rsv
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    Dataset updated
    Sep 28, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    This file contains the provisional percent of total deaths by week for COVID-19, Influenza, and Respiratory Syncytial Virus for deaths occurring among residents in the United States. Provisional data are based on non-final counts of deaths based on the flow of mortality data in National Vital Statistics System.

  17. f

    Influenza Pandemics and Tuberculosis Mortality in 1889 and 1918: Analysis of...

    • figshare.com
    tiff
    Updated May 30, 2023
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    Kathrin Zürcher; Marcel Zwahlen; Marie Ballif; Hans L. Rieder; Matthias Egger; Lukas Fenner (2023). Influenza Pandemics and Tuberculosis Mortality in 1889 and 1918: Analysis of Historical Data from Switzerland [Dataset]. http://doi.org/10.1371/journal.pone.0162575
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kathrin Zürcher; Marcel Zwahlen; Marie Ballif; Hans L. Rieder; Matthias Egger; Lukas Fenner
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Switzerland
    Description

    BackgroundTuberculosis (TB) mortality declined in the northern hemisphere over the last 200 years, but peaked during the Russian (1889) and the Spanish (1918) influenza pandemics. We studied the impact of these two pandemics on TB mortality.MethodsWe retrieved historic data from mortality registers for the city of Bern and countrywide for Switzerland. We used Poisson regression models to quantify the excess pulmonary TB (PTB) mortality attributable to influenza.ResultsYearly PTB mortality rates increased during both influenza pandemics. Monthly influenza and PTB mortality rates peaked during winter and early spring. In Bern, for an increase of 100 influenza deaths (per 100,000 population) monthly PTB mortality rates increased by a factor of 1.5 (95%Cl 1.4–1.6, p

  18. Influenza-Related Mortality Trends in Japanese and American Seniors:...

    • plos.figshare.com
    doc
    Updated Jun 7, 2023
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    Vivek Charu; Cécile Viboud; Lone Simonsen; Katharine Sturm-Ramirez; Masayoshi Shinjoh; Gerardo Chowell; Mark Miller; Norio Sugaya (2023). Influenza-Related Mortality Trends in Japanese and American Seniors: Evidence for the Indirect Mortality Benefits of Vaccinating Schoolchildren [Dataset]. http://doi.org/10.1371/journal.pone.0026282
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    docAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Vivek Charu; Cécile Viboud; Lone Simonsen; Katharine Sturm-Ramirez; Masayoshi Shinjoh; Gerardo Chowell; Mark Miller; Norio Sugaya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe historical Japanese influenza vaccination program targeted at schoolchildren provides a unique opportunity to evaluate the indirect benefits of vaccinating high-transmitter groups to mitigate disease burden among seniors. Here we characterize the indirect mortality benefits of vaccinating schoolchildren based on data from Japan and the US. MethodsWe compared age-specific influenza-related excess mortality rates in Japanese seniors aged ≥65 years during the schoolchildren vaccination program (1978–1994) and after the program was discontinued (1995–2006). Indirect vaccine benefits were adjusted for demographic changes, socioeconomics and dominant influenza subtype; US mortality data were used as a control. ResultsWe estimate that the schoolchildren vaccination program conferred a 36% adjusted mortality reduction among Japanese seniors (95%CI: 17–51%), corresponding to ∼1,000 senior deaths averted by vaccination annually (95%CI: 400–1,800). In contrast, influenza-related mortality did not change among US seniors, despite increasing vaccine coverage in this population. ConclusionsThe Japanese schoolchildren vaccination program was associated with substantial indirect mortality benefits in seniors.

  19. Estimating Influenza Disease Burden from Population-Based Surveillance Data...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    tiff
    Updated May 31, 2023
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    Carrie Reed; Sandra S. Chaves; Pam Daily Kirley; Ruth Emerson; Deborah Aragon; Emily B. Hancock; Lisa Butler; Joan Baumbach; Gary Hollick; Nancy M. Bennett; Matthew R. Laidler; Ann Thomas; Martin I. Meltzer; Lyn Finelli (2023). Estimating Influenza Disease Burden from Population-Based Surveillance Data in the United States [Dataset]. http://doi.org/10.1371/journal.pone.0118369
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    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Carrie Reed; Sandra S. Chaves; Pam Daily Kirley; Ruth Emerson; Deborah Aragon; Emily B. Hancock; Lisa Butler; Joan Baumbach; Gary Hollick; Nancy M. Bennett; Matthew R. Laidler; Ann Thomas; Martin I. Meltzer; Lyn Finelli
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Annual estimates of the influenza disease burden provide information to evaluate programs and allocate resources. We used a multiplier method with routine population-based surveillance data on influenza hospitalization in the United States to correct for under-reporting and estimate the burden of influenza for seasons after the 2009 pandemic. Five sites of the Influenza Hospitalization Surveillance Network (FluSurv-NET) collected data on the frequency and sensitivity of influenza testing during two seasons to estimate under-detection. Population-based rates of influenza-associated hospitalization and Intensive Care Unit admission from 2010–2013 were extrapolated to the U.S. population from FluSurv-NET and corrected for under-detection. Influenza deaths were calculated using a ratio of deaths to hospitalizations. We estimated that influenza-related hospitalizations were under-detected during 2010-11 by a factor of 2.1 (95%CI 1.7–2.9) for age < 18 years, 3.1 (2.4–4.5) for ages 18-64 years, and 5.2 (95%CI 3.8–8.3) for age 65+. Results were similar in 2011-12. Extrapolated estimates for 3 seasons from 2010–2013 included: 114,192–624,435 hospitalizations, 18,491–95,390 ICU admissions, and 4,915–27,174 deaths per year; 54–70% of hospitalizations and 71–85% of deaths occurred among adults aged 65+. Influenza causes a substantial disease burden in the U.S. that varies by age and season. Periodic estimation of multipliers across multiple sites and age groups improves our understanding of influenza detection in sentinel surveillance systems. Adjusting surveillance data using a multiplier method is a relatively simple means to estimate the impact of influenza and the subsequent value of interventions to prevent influenza.

  20. d

    State and Year-wise Total Number of Seasonal Influenza-A (H1N1 Virus) Cases...

    • dataful.in
    Updated Nov 13, 2025
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    Dataful (Factly) (2025). State and Year-wise Total Number of Seasonal Influenza-A (H1N1 Virus) Cases and Deaths [Dataset]. https://dataful.in/datasets/18146
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    application/x-parquet, csv, xlsxAvailable download formats
    Dataset updated
    Nov 13, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    States of India
    Variables measured
    Cases, Deaths
    Description

    This Dataset contains State and Year-wise total number of seasonal influenza (H1N1 Virus) cases and deaths.

    Note: 1) Data for 2025 is as of 30 June. 2) Telangana State has reporting data separately since Nov, 2014 after separation from Andhra Pradesh.

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Statista (2024). Number of influenza deaths in the United States from 2011-2024 [Dataset]. https://www.statista.com/statistics/1124915/flu-deaths-number-us/
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Number of influenza deaths in the United States from 2011-2024

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Dataset updated
Nov 15, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The burden of influenza in the United States can vary from year to year depending on which viruses are circulating, how many people receive an influenza vaccination, and how effective the vaccination is in that particular year. During the 2023-2024 flu season, around 28,000 people lost their lives to the disease. Although most people recover from influenza without needing medical care, the disease can be deadly among young children, the elderly, and those with weakened immune systems or chronic illnesses. Deaths due to influenza Even though most people recover from influenza without medical care, influenza and pneumonia can be deadly, especially for older people and those with certain preexisting conditions. Influenza is a common cause of pneumonia and although most cases of influenza do not develop into pneumonia, those that do are often more severe and more deadly. Deaths due to influenza are most common among the elderly, with a mortality rate of around 32 per 100,000 population during the 2023-2024 flu season. In comparison, the mortality rate for those aged 50 to 64 years was 9.1 per 100,000 population. Flu vaccinations The most effective way to prevent influenza is to receive an annual influenza vaccination. These vaccines have proven to be safe and are usually cheap and easily accessible. Nevertheless, every year a large share of the population in the United States still fails to get vaccinated against influenza. For example, in the 2022-2023 flu season, only 35 percent of those aged 18 to 49 years received a flu vaccination. Unsurprisingly, children and the elderly are the most likely to get vaccinated. It is estimated that during the 2022-2023 flu season, vaccinations prevented over 929 thousand influenza cases among children aged 6 months to 4 years.

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