44 datasets found
  1. Main tables: Unexplained deaths in infancy, England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 29, 2024
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    Office for National Statistics (2024). Main tables: Unexplained deaths in infancy, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/unexplaineddeathsininfancyenglandandwalesreferencetables
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    xlsxAvailable download formats
    Dataset updated
    Nov 29, 2024
    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

    Annual data on sudden infant deaths in England and Wales and deaths for which the cause remained unascertained after a full investigation.

  2. Weekly number of excess deaths in England and Wales 2020-2025

    • statista.com
    Updated Sep 3, 2025
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    Statista (2025). Weekly number of excess deaths in England and Wales 2020-2025 [Dataset]. https://www.statista.com/statistics/1131428/excess-deaths-in-england-and-wales/
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    Dataset updated
    Sep 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2020 - Aug 2025
    Area covered
    England, Wales
    Description

    For the week ending August 22, 2025, weekly deaths in England and Wales were 855 below the number expected, compared with 1,406 below what was expected in the previous week. In late 2022 and through early 2023, excess deaths were elevated for a number of weeks, with the excess deaths figure for the week ending January 13, 2023, the highest since February 2021. In the middle of April 2020, at the height of the COVID-19 pandemic, there were almost 12,000 excess deaths a week recorded in England and Wales. It was not until two months later, in the week ending June 19, 2020, that the number of deaths began to be lower than the five-year average for the corresponding week. Most deaths since 1918 in 2020 In 2020, there were 689,629 deaths in the United Kingdom, making that year the deadliest since 1918, at the height of the Spanish influenza pandemic. As seen in the excess death figures, April 2020 was by far the worst month in terms of deaths during the pandemic. The weekly number of deaths for weeks 16 and 17 of that year were 22,351, and 21,997 respectively. Although the number of deaths fell to more usual levels for the rest of that year, a winter wave of the disease led to a high number of deaths in January 2021, with 18,676 deaths recorded in the fourth week of that year. For the whole of 2021, there were 667,479 deaths in the UK, 22,150 fewer than in 2020. Life expectancy in the UK goes into reverse In 2022, life expectancy at birth for women in the UK was 82.6 years, while for men it was 78.6 years. This was the lowest life expectancy in the country for ten years, and came after life expectancy improvements stalled throughout the 2010s, and then declined from 2020 onwards. There is also quite a significant regional difference in life expectancy in the UK. In the London borough of Kensington and Chelsea, for example, the life expectancy for men was 81.5 years, and 86.5 years for women. By contrast, in Blackpool, in North West England, male life expectancy was just 73.1 years, while for women, life expectancy was lowest in Glasgow, at 78 years.

  3. o

    Unexplained Death in Infancy by deprivation and ethnicity

    • ora.ox.ac.uk
    jpeg, plain
    Updated Jan 1, 2018
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    Kroll, ME (2018). Unexplained Death in Infancy by deprivation and ethnicity [Dataset]. http://doi.org/10.5287/bodleian:XmE4XBaoZ
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    jpeg(96961), plain(841)Available download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    University of Oxford
    Authors
    Kroll, ME
    License

    https://ora.ox.ac.uk/terms_of_usehttps://ora.ox.ac.uk/terms_of_use

    Time period covered
    2006 - 2012
    Area covered
    England and Wales
    Description

    JPEG file: supplementary graph derived from the same large dataset as the analysis reported in the cited journal article. TXT file: data for this graph, and reference for the journal article. This graph relates to a journal article that can be viewed at: http://dx.doi.org/10.1136/jech-2018-21045 (see Related Items). We report a nearly five-fold disparity in risk of Unexplained Death in Infancy (UDI) across ethnic groups in England and Wales, and demonstrate that this disparity is not explained by deprivation. Formal adjustment for deprivation (IMD quintiles) does not even slightly reduce the ethnic variation (see Table 2 of the cited paper). A simple scatter plot of ethnic groups illustrates the lack of a relationship between deprivation and risk, with a virtually horizontal overall trend line (as shown in this Dataset). For example, Black Caribbean babies have nearly triple the UDI risk of Black African babies, but similar levels of deprivation. The Indian, Pakistani and Bangladeshi ethnic groups each have around half the risk of White British babies; the White British and Indian groups have similar (relatively low) levels of deprivation, and the Pakistani and Bangladeshi groups are the most deprived in England and Wales. In the cited paper we discuss various potential mediators of the ethnic differences, including sleep practices, breastfeeding and tobacco use, based on the ethnic-specific prevalence of these factors in prior survey data. We suggest that careful comparison of ethnic patterns of exposure and outcome might lead to a better understanding of the aetiology of these very distressing deaths.

  4. Unexpected deaths in infancy, England and Wales

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Nov 29, 2024
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    Office for National Statistics (2024). Unexpected deaths in infancy, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/unexplaineddeathsininfancyenglandandwalesunexpecteddeaths
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    xlsxAvailable download formats
    Dataset updated
    Nov 29, 2024
    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

    Area covered
    England
    Description

    Annual data on unexpected deaths (certified by a coroner) and infant deaths by selected causes in England and Wales.

  5. Unexplained deaths in infancy, England and Wales

    • data.europa.eu
    html
    Updated Jun 30, 2022
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    Office for National Statistics (2022). Unexplained deaths in infancy, England and Wales [Dataset]. https://data.europa.eu/data/datasets/unexplained_deaths_in_infancy_england_and_wales?locale=sk
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    htmlAvailable download formats
    Dataset updated
    Jun 30, 2022
    Dataset authored and 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

    Area covered
    England, Wales
    Description

    Report on unexplained infant deaths in England and Wales which includes sudden infant deaths and deaths for which the cause remained unknown or unascertained.

    Source agency: Office for National Statistics

    Designation: National Statistics

    Language: English

    Alternative title: Unexplained deaths in infancy

  6. A

    Financial Times - Excess mortality during COVID-19 pandemic

    • data.amerigeoss.org
    csv, xlsx
    Updated Sep 27, 2022
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    UN Humanitarian Data Exchange (2022). Financial Times - Excess mortality during COVID-19 pandemic [Dataset]. https://data.amerigeoss.org/hu/dataset/financial-times-excess-mortality-during-covid-19-pandemic-data
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    xlsx(5128535), csv, xlsx(11075)Available download formats
    Dataset updated
    Sep 27, 2022
    Dataset provided by
    UN Humanitarian Data Exchange
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    This dataset contains excess mortality data for the period covering the 2020 Covid-19 pandemic.

    The data contains the excess mortality data for all known jurisdictions which publish all-cause mortality data meeting the following criteria:

    • daily, weekly or monthly level of granularity
    • includes equivalent historical data for at least one full year before 2020, and preferably at least five years (2015-2019)
    • includes data up to at least April 1, 2020

    Most countries publish mortality data with a longer periodicity (typically quarterly or even annually), a longer publication lag time, or both. This sort of data is not suitable for ongoing analysis during an epidemic and is therefore not included here.

    "Excess mortality" refers to the difference between deaths from all causes during the pandemic and the historic seasonal average. For many of the jurisdictions shown here, this figure is higher than the official Covid-19 fatalities that are published by national governments each day. While not all of these deaths are necessarily attributable to the disease, it does leave a number of unexplained deaths that suggests that the official figures of deaths attributed may significant undercounts of the pandemic's impact.

  7. Unexplained deaths in infancy, England and Wales: 2017

    • gov.uk
    Updated Aug 19, 2019
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    Office for National Statistics (2019). Unexplained deaths in infancy, England and Wales: 2017 [Dataset]. https://www.gov.uk/government/statistics/unexplained-deaths-in-infancy-england-and-wales-2017
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    Dataset updated
    Aug 19, 2019
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    Wales, England
    Description

    Official statistics are produced impartially and free from political influence.

  8. f

    Additional file 5 of Whole exome sequencing with a focus on cardiac...

    • springernature.figshare.com
    xlsx
    Updated Feb 7, 2024
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    Si-Jie Wei; Jin-Liang Du; Yue-Bing Wang; Peng-Fei Qu; Lin Ma; Zhong-Chun Sun; Xue Tang; Kai Liu; Yan-Mei Xi; Sheng-Jie Nie; Peng-Lin Jia; Wu Long; Yong-Qiang Qu; Yu-Hua Li; Pu-Ping Lei (2024). Additional file 5 of Whole exome sequencing with a focus on cardiac disease-associated genes in families of sudden unexplained deaths in Yunnan, southwest of China [Dataset]. http://doi.org/10.6084/m9.figshare.22600361.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 7, 2024
    Dataset provided by
    figshare
    Authors
    Si-Jie Wei; Jin-Liang Du; Yue-Bing Wang; Peng-Fei Qu; Lin Ma; Zhong-Chun Sun; Xue Tang; Kai Liu; Yan-Mei Xi; Sheng-Jie Nie; Peng-Lin Jia; Wu Long; Yong-Qiang Qu; Yu-Hua Li; Pu-Ping Lei
    License

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

    Area covered
    China, Yunnan
    Description

    Additional file 5.

  9. Sudden and Unexpected Deaths in Infancy and Childhood - Dataset -...

    • ckan.publishing.service.gov.uk
    Updated Aug 2, 2023
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    ckan.publishing.service.gov.uk (2023). Sudden and Unexpected Deaths in Infancy and Childhood - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/ncmd-sudic
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    Dataset updated
    Aug 2, 2023
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Description

    This report draws on data from the National Child Mortality Database (NCMD) to investigate sudden, unexpected and unexplained deaths in both infants and children and young people, and to draw out learning and recommendations for service providers and policymakers.

  10. Estimated incidence of Any Death/Sudden Unexplained Death.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 5, 2023
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    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata (2023). Estimated incidence of Any Death/Sudden Unexplained Death. [Dataset]. http://doi.org/10.1371/journal.pone.0256379.t010
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Tomotaka Sobue; Haruhisa Fukuda; Tetsuya Matsumoto; Bennett Lee; Shuhei Ito; Satoshi Iwata
    License

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

    Description

    Estimated incidence of Any Death/Sudden Unexplained Death.

  11. f

    Data_Sheet_2_Identification of bacterial pathogens in sudden unexpected...

    • frontiersin.figshare.com
    bin
    Updated Jun 15, 2023
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    Lily Gates; Talisa Mistry; Olumide Ogunbiyi; Kerry-Anne Kite; Nigel J. Klein; Neil J. Sebire; Dagmar G. Alber (2023). Data_Sheet_2_Identification of bacterial pathogens in sudden unexpected death in infancy and childhood using 16S rRNA gene sequencing.DOCX [Dataset]. http://doi.org/10.3389/fmicb.2023.1171670.s002
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    binAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    Frontiers
    Authors
    Lily Gates; Talisa Mistry; Olumide Ogunbiyi; Kerry-Anne Kite; Nigel J. Klein; Neil J. Sebire; Dagmar G. Alber
    License

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

    Description

    BackgroundSudden unexpected death in infancy (SUDI) is the most common cause of post-neonatal death in the developed world. Following an extensive investigation, the cause of ~40% of deaths remains unknown. It is hypothesized that a proportion of deaths are due to an infection that remains undetected due to limitations in routine techniques. This study aimed to apply 16S rRNA gene sequencing to post-mortem (PM) tissues collected from cases of SUDI, as well as those from the childhood equivalent (collectively known as sudden unexpected death in infancy and childhood or SUDIC), to investigate whether this molecular approach could help identify potential infection-causing bacteria to enhance the diagnosis of infection.MethodsIn this study, 16S rRNA gene sequencing was applied to de-identified frozen post-mortem (PM) tissues from the diagnostic archive of Great Ormond Street Hospital. The cases were grouped depending on the cause of death: (i) explained non-infectious, (ii) infectious, and (iii) unknown.Results and conclusionsIn the cases of known bacterial infection, the likely causative pathogen was identified in 3/5 cases using bacterial culture at PM compared to 5/5 cases using 16S rRNA gene sequencing. Where a bacterial infection was identified at routine investigation, the same organism was identified by 16S rRNA gene sequencing. Using these findings, we defined criteria based on sequencing reads and alpha diversity to identify PM tissues with likely infection. Using these criteria, 4/20 (20%) cases of unexplained SUDIC were identified which may be due to bacterial infection that was previously undetected. This study demonstrates the potential feasibility and effectiveness of 16S rRNA gene sequencing in PM tissue investigation to improve the diagnosis of infection, potentially reducing the number of unexplained deaths and improving the understanding of the mechanisms involved.

  12. Unexplained deaths in infancy, England and Wales: 2019

    • gov.uk
    • s3.amazonaws.com
    Updated Aug 25, 2021
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    Office for National Statistics (2021). Unexplained deaths in infancy, England and Wales: 2019 [Dataset]. https://www.gov.uk/government/statistics/unexplained-deaths-in-infancy-england-and-wales-2019
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    Dataset updated
    Aug 25, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    England, Wales
    Description

    Official statistics are produced impartially and free from political influence.

  13. Data from: Unexplained deaths in infancy, England and Wales: 2015

    • gov.uk
    Updated Aug 9, 2017
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    Office for National Statistics (2017). Unexplained deaths in infancy, England and Wales: 2015 [Dataset]. https://www.gov.uk/government/statistics/unexplained-deaths-in-infancy-england-and-wales-2015
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    Dataset updated
    Aug 9, 2017
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Area covered
    England, Wales
    Description

    Official statistics are produced impartially and free from political influence.

  14. Leading causes of infant death in the United States 2023

    • statista.com
    Updated Jan 7, 2025
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    Statista (2025). Leading causes of infant death in the United States 2023 [Dataset]. https://www.statista.com/statistics/946675/leading-causes-of-infant-death-in-the-us/
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    The leading causes of infant death in the United States are congenital malformations, low birth weight, and sudden infant death syndrome. In 2023, congenital malformations accounted for around 20 percent of all infant deaths in the United States. Infant mortality in the United States Infant mortality refers to the death of a child under the age of one. In the United States, there were around 20,577 infant deaths in 2022. However, the infant mortality rate in the United States has decreased steadily over the past few decades. In 1990, the infant mortality rate was 9.4 per 1,000 live births, but had dropped to around 5.4 per 1,000 live births by 2022. Rates of infant mortality do vary depending on the state and region. For example, the infant mortality rate in Mississippi in 2022 was 9.11 per 1,000 live births, compared to a rate of just 3.32 per 1,000 live births in Massachusetts. What is sudden infant death syndrome (SIDS)? Sudden infant death syndrome (SIDS) is the third leading cause of infant death in the United States with a rate of around 40 deaths per 100,000 live births. SIDS is the unexplained death of an infant. In such cases, the baby usually seems to be healthy but suddenly dies, often during sleep. The cause of SIDS is unknown, but may be connected to problems in the brain controlling breathing and waking from sleep. In 2022, there were an estimated 1,531 deaths from SIDS in the United States. Mississippi and Arkansas are the states with the highest rates of sudden unexpected infant death, while Massachusetts and California have the lowest rates.

  15. d

    Natural causes of white-tailed deer morbidity and mortality in New York...

    • search.dataone.org
    • data.niaid.nih.gov
    • +2more
    Updated Apr 24, 2025
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    Sophie Zhu; Elizabeth Buckles; Elizabeth Bunting; Kevin Hynes; Krysten Schuler (2025). Natural causes of white-tailed deer morbidity and mortality in New York State [Dataset]. http://doi.org/10.25338/B89D1S
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    Dataset updated
    Apr 24, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Sophie Zhu; Elizabeth Buckles; Elizabeth Bunting; Kevin Hynes; Krysten Schuler
    Time period covered
    Jan 1, 2021
    Area covered
    New York
    Description

    White-tailed deer Odocoileus virginianus are the most popular big game animal in the United States. Recreational harvest of these animals is a critical tool in population management, as well as an important financial resource for state economies and wildlife agencies. Thus, herd health evaluations can provide information to wildlife managers tasked with developing sustainable harvest practices while monitoring for emergent problems. The purpose of our study was to document causes of illness and natural mortality in New York white-tailed deer submitted for post mortem evaluation. Animals were presented by members of the public and wildlife management personnel due to abnormal behavior or unexplained death. We describe demographic and seasonal associations among gross and histologic evaluation and diagnostic testing. Post mortem examinations were performed on 735 white-tailed deer submitted for necropsy in New York from January 2011 to November 2017. Causes of euthanasia or mortality were...

  16. E

    Epilepsy related sudden death (2019-08-21)

    • ega-archive.org
    Updated Mar 15, 2025
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    (2025). Epilepsy related sudden death (2019-08-21) [Dataset]. https://www.ega-archive.org/datasets/EGAD00001005276
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    Dataset updated
    Mar 15, 2025
    License

    https://ega-archive.org/dacs/EGAC00001000205https://ega-archive.org/dacs/EGAC00001000205

    Description

    These samples include exome sequences of samples from patients who suffered Sudden Unexplained Death in Epilepsy. They all are of European descent. . This dataset contains all the data available for this study on 2019-08-21.

  17. Number of deaths in care homes notified to the Care Quality Commission,...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 1, 2023
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    Office for National Statistics (2023). Number of deaths in care homes notified to the Care Quality Commission, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 1, 2023
    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 deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

  18. e

    Voicing Loss: Meanings and Implications of Participation by Bereaved People...

    • b2find.eudat.eu
    Updated Feb 21, 2025
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    (2025). Voicing Loss: Meanings and Implications of Participation by Bereaved People in Inquests: Qualitative Interviews and Group Discussions, 2021-2024 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/c3de1bb9-d894-506e-9563-d35d957eddec
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    Dataset updated
    Feb 21, 2025
    Description

    The Voicing Loss research project examined the role of bereaved people in coroners’ investigations and inquests. Research data comprise interview transcripts, interview write-ups and one written submission. The total number of interviews will differ from the number of uploaded transcripts, as participants were given the choice to opt out of having their transcript included in the repository.Coroners in England and Wales are independent judicial officers who investigate violent, unnatural and unexplained deaths, and deaths in prison or other forms of state detention. Every year, around 200,000 deaths are reported to the coroner, and well over 30,000 inquests are held. The Voicing Loss project was a collaboration between the Institute for Crime & Justice Policy Research at Birkbeck, University of London, and the Centre for Death & Society at the University of Bath. The project examined the role of bereaved people in coroners’ investigations and inquests, as defined in law and policy and as experienced in practice. It also explored ways in which the inclusion and participation of bereaved people in the process can be better supported. The core component of the research involved interviews with 89 individuals who had come into contact with the coroner service following the death of someone they were close to. The researchers also interviewed 82 coronial professionals (including coroners, coroners’ officers, lawyers and others) and 19 individuals who had given evidence to an inquest in a professional capacity or supported colleagues who were witnesses. This constitutes the largest ever empirical study of lay and professional experiences of the coronial process in England and Wales. The study’s key findings are presented in a series of research reports and policy and practice briefings available through the dedicated project website, https://voicing-loss.icpr.org.uk/. Interviews were conducted between February 2022 and May 2023. A total of 190 respondents were recruited through a combination of purposive, convenience and snowball sampling. 89 were individuals who had experience of the coroner service since 2012, following the death of someone they were close to; 82 were coronial professionals, for example coroners, coroners’ officers, volunteers, lawyers and others with expertise relating to the coronial system; 19 were individuals who had experience of giving evidence to inquests in a professional capacity, and/or supporting colleagues as witnesses. Most interviews were conducted on a one-to-one basis, but there were some paired and group discussions. Interviews were audio-recorded and professionally transcribed, other than two in which the respondents requested that written notes rather than an audio-recording be taken, and one bereaved respondent provided written responses to the questions, by email.

  19. w

    Dataset of book subjects that contain Collateral damage : the mysterious...

    • workwithdata.com
    Updated Nov 7, 2024
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    Work With Data (2024). Dataset of book subjects that contain Collateral damage : the mysterious deaths of Marilyn Monroe and Dorothy Kilgallen, and the ties that bind them to Robert Kennedy and the JFK assassination [Dataset]. https://www.workwithdata.com/datasets/book-subjects?f=1&fcol0=j0-book&fop0=%3D&fval0=Collateral+damage+:+the+mysterious+deaths+of+Marilyn+Monroe+and+Dorothy+Kilgallen%2C+and+the+ties+that+bind+them+to+Robert+Kennedy+and+the+JFK+assassination&j=1&j0=books
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    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This dataset is about book subjects. It has 3 rows and is filtered where the books is Collateral damage : the mysterious deaths of Marilyn Monroe and Dorothy Kilgallen, and the ties that bind them to Robert Kennedy and the JFK assassination. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

  20. f

    Material examined, cause of death, and the prevalence of epilepsy.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    • +1more
    xls
    Updated Jun 1, 2023
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    Jerzy Wegiel; Janusz Frackowiak; Bozena Mazur-Kolecka; N. Carolyn Schanen; Edwin H. Cook Jr.; Marian Sigman; W. Ted Brown; Izabela Kuchna; Jarek Wegiel; Krzysztof Nowicki; Humi Imaki; Shuang Yong Ma; Abha Chauhan; Ved Chauhan; David L. Miller; Pankaj D. Mehta; Michael Flory; Ira L. Cohen; Eric London; Barry Reisberg; Mony J. de Leon; Thomas Wisniewski (2023). Material examined, cause of death, and the prevalence of epilepsy. [Dataset]. http://doi.org/10.1371/journal.pone.0035414.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jerzy Wegiel; Janusz Frackowiak; Bozena Mazur-Kolecka; N. Carolyn Schanen; Edwin H. Cook Jr.; Marian Sigman; W. Ted Brown; Izabela Kuchna; Jarek Wegiel; Krzysztof Nowicki; Humi Imaki; Shuang Yong Ma; Abha Chauhan; Ved Chauhan; David L. Miller; Pankaj D. Mehta; Michael Flory; Ira L. Cohen; Eric London; Barry Reisberg; Mony J. de Leon; Thomas Wisniewski
    License

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

    Description

    Sudden unexpected and unexplained death of subject with known epilepsy (SUDEP), Intractable epilepsy (IE), Epilepsy (E), Years (y), Months (m).

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Office for National Statistics (2024). Main tables: Unexplained deaths in infancy, England and Wales [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/unexplaineddeathsininfancyenglandandwalesreferencetables
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Main tables: Unexplained deaths in infancy, England and Wales

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4 scholarly articles cite this dataset (View in Google Scholar)
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Dataset updated
Nov 29, 2024
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

Annual data on sudden infant deaths in England and Wales and deaths for which the cause remained unascertained after a full investigation.

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