13 datasets found
  1. D

    Provisional COVID-19 Deaths: Focus on Ages 0-18 Years

    • data.cdc.gov
    • data.virginia.gov
    • +5more
    csv, xlsx, xml
    Updated Jun 28, 2023
    + more versions
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    NCHS/DVS (2023). Provisional COVID-19 Deaths: Focus on Ages 0-18 Years [Dataset]. https://data.cdc.gov/widgets/nr4s-juj3?mobile_redirect=true
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    csv, xml, xlsxAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset authored and provided by
    NCHS/DVS
    License

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

    Description

    Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

    Deaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.

  2. State Trend in Child Well Being - Data Book

    • kaggle.com
    zip
    Updated Aug 18, 2021
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    Joy (2021). State Trend in Child Well Being - Data Book [Dataset]. https://www.kaggle.com/surajitcba2021/state-trend-in-child-well-being-data-book
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    zip(5440 bytes)Available download formats
    Dataset updated
    Aug 18, 2021
    Authors
    Joy
    Description

    LearnPlatform COVID-19 Impact on Digital Learning

    We can use the attached data to understand the impact of COVID-19 on Digital Learning across the states and districts.

    Content

    This dataset contains Child Well Being data and indicators for education, family, community and health of children.

    Acknowledgements

    The data is gathered from 2020 KIDS COUNT DATA BOOK

  3. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
    + more versions
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    Office for National Statistics (2023). Deaths by vaccination status, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 25, 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

    Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

  4. f

    Data_Sheet_1_Case report: Distinct neurologic manifestation and cytokine...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Jun 13, 2023
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    Chen, Cheng-Han; Shen, Ching-Fen; Tu, Yi-Fang; Wang, Jieh-Neng; Chang, Yu-Ming; Cheng, Chao-Min (2023). Data_Sheet_1_Case report: Distinct neurologic manifestation and cytokine profile of a child with COVID-19-associated acute fulminant encephalitis.PDF [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001100395
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    Dataset updated
    Jun 13, 2023
    Authors
    Chen, Cheng-Han; Shen, Ching-Fen; Tu, Yi-Fang; Wang, Jieh-Neng; Chang, Yu-Ming; Cheng, Chao-Min
    Description

    The neurologic manifestations of coronavirus disease 2019 (COVID-19) may range from mild symptoms such as headache or confusion to profound encephalopathy with variable outcomes and sequelae. Here, we reported a case of fatal COVID-19-associated encephalitis with acute fulminant cerebral edema, presenting first with visual hallucination and then a rapid progression into comatose status in a few hours. Serial brain computed tomography depicted cerebral edematous changes from bilateral ventral temporal lobe to the whole brain leading to brain herniation. Multiple cytokines in serum and cerebrospinal fluid (CSF) were increased, with a more prominent rise in the CSF. Therefore, we postulated a hypothesis regarding the mechanism of this fulminant encephalitis that the SARS-CoV-2 virus attacked ventral temporal lobes initially, triggered a severe cytokine storm, and then led to subsequent disruption of the blood-brain barrier, diffuse brain edema, and brain herniation. The trend of cytokine profiles over time may aid in diagnosing and evaluating the severity and prognosis of COVID-19-associated encephalitis.

  5. G

    How to care for a child with COVID-19 at home: Advice for caregivers

    • ouvert.canada.ca
    • open.canada.ca
    html, pdf
    Updated May 8, 2020
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    Public Health Agency of Canada (2020). How to care for a child with COVID-19 at home: Advice for caregivers [Dataset]. https://ouvert.canada.ca/data/dataset/12fe3204-3a16-49cd-ab88-c1fe10b56555
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    pdf, htmlAvailable download formats
    Dataset updated
    May 8, 2020
    Dataset provided by
    Public Health Agency of Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    If you are caring for a child who has or may have COVID-19, it is important to follow the steps below to protect yourself and others in the home, as well as those in your community.

  6. h

    trec-covid

    • huggingface.co
    Updated May 22, 2024
    + more versions
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    Cocktail (2024). trec-covid [Dataset]. https://huggingface.co/datasets/IR-Cocktail/trec-covid
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Cocktail
    Description

    Data Description

    Homepage: https://github.com/KID-22/Cocktail Repository: https://github.com/KID-22/Cocktail Paper: [Needs More Information]

      Dataset Summary
    

    All the 16 benchmarked datasets in Cocktail are listed in the following table.

    Dataset Raw Website Cocktail Website Cocktail-Name md5 for Processed Data Domain Relevancy

    Test Query

    Corpus

    MS MARCO Homepage Homepage msmarco 985926f3e906fadf0dc6249f23ed850f Misc. Binary 6,979 542,203

    DL19 Homepage… See the full description on the dataset page: https://huggingface.co/datasets/IR-Cocktail/trec-covid.

  7. Predict if people prefer WFH vs WFO post Covid-19

    • kaggle.com
    zip
    Updated Jun 28, 2021
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    annina simon (2021). Predict if people prefer WFH vs WFO post Covid-19 [Dataset]. https://www.kaggle.com/anninasimon/predict-if-people-prefer-wfh-verses-wfo-data
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    zip(3004 bytes)Available download formats
    Dataset updated
    Jun 28, 2021
    Authors
    annina simon
    Description

    Context

    Since the pandemic began, most of us have been working from home. I wanted to see if people preferred working from home or they missed going back to office. So I conducted a survey and I decided to use this real data to see to what accuracy algorithm can predict the results. Note: The names in the data set has been changed and mapped with common names I found on Google

    Content

    ID - Unique Identifier for each record Name - Names of people (Real names has been modifed) Age- The ages of the people who took the survey Occupation - The type of work of the people who took the survey Gender- The gender of the people who took the survey Same_ofiice_home_location - Answers the question :Do you reside in the base location as your office? --> yes or no kids - if they have kids or not. --> yes or no RM_save_money - Answers the question :Do you feel you were able to save money with remote work? --> yes or no RM_quality_time - Answers the question : Do you feel that remote work has given you more quality time with family/friends? --> yes or no RM_better_sleep - Answers the question : Has your sleep cycle improved with work from home? --> yes or no calmer_stressed - Answers the question : Are you calmer or more stressed than usual since remote work began? RM_professional_growth - Answers the question :On a scale of 1-5, Do you feel WFH has affected your professional growth adversely?(5-yes it's affecting me badly,1 No it doesn't affect me) RM_lazy - Answers the question : On a scale of 1-5,do you feel WFH has made you lazy?(5-extremely lazy,1-Nope, not lazy at all) RM_productive - Answers the question : On a scale of 1-5, are you more productive with working remotely?(1-not productive at all,5-extremely productive) digital_connect_sufficient - Answers the question : Do you feel digital connect is sufficient? RM_better_work_life_balance - Answers the question : On a scale of 1-5,do you feel you have a better work-life balance with remote work?(1-No not at all,5-Yessssssss) RM_improved_skillset - Answers the question : On a scale of 1-5,how much has your skillset improved in the last two years?(skillset with respect to your work domain,1:Not improved,5:Improved drastically) RM_job_opportunities - Answers the question : Do you think there are more job opportunities with remote work? Target- Answers the question : In the future which of the following do you think is more suited for you?(Sorry, but hybrid isn't an option here)

    Acknowledgements

    To everyone who took out time to fill my survey

    Inspiration

    Did you find this data set useful? Do let me know

  8. Table_1_Caring for a child with cancer during COVID-19 pandemic: an...

    • frontiersin.figshare.com
    docx
    Updated Apr 8, 2024
    + more versions
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    Muhamad Aizat Nawi; Sie Chong Doris Lau; Shi Tying Chin; Kok Hoi Teh; Lee Sue Betty Ho; Hamidah Alias (2024). Table_1_Caring for a child with cancer during COVID-19 pandemic: an assessment of the parents’ perception and stress level.docx [Dataset]. http://doi.org/10.3389/fpubh.2024.1223362.s002
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    docxAvailable download formats
    Dataset updated
    Apr 8, 2024
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Muhamad Aizat Nawi; Sie Chong Doris Lau; Shi Tying Chin; Kok Hoi Teh; Lee Sue Betty Ho; Hamidah Alias
    License

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

    Description

    BackgroundThe emergence of COVID-19 pandemic has led to heightened fear and uncertainty among parents of children with cancer. This study was conducted to evaluate the parental perceptions toward effects of COVID-19 infection to children with cancer, determine their stress level and factors contributing to high stress level during the pandemic.MethodsThis cross-sectional study was conducted in three paediatric oncology centres in Malaysia from September 2020 until December 2022. A total of 167 parents were recruited. Parents completed a set of questionnaires to assess their perception on effect of COVID-19 infection to children with cancer and COVID Stress Scale (CSS) to assess the parents’ stress level.ResultsPatients’ mean age at study entry was 8.75 years (SD 4.38). Ninety-one (54.5%) patients were still on active treatment. More than 80% of the parents obtained information regarding COVID-19 infection from mass media and social networking. Fear of their children contracting COVID-19 infection was high especially among patients who were still on treatment. Forty-nine (29.3%) parents were significantly affected by the pandemic leading to loss of job or monthly income. Twenty-nine (17.4%) patients required treatment modification during the pandemic. The median total score for CSS was 78.0 (IQR 25th 64.0; 75th 95.0). Ninety-one (54.5%) respondents were very/extremely stressed based on the CSS scores. Components with high scores were xenophobia (median score 18.0; IQR 25th 13.0, 75th 22.0), fear of danger (median score 17.0; IQR 25th 14.0, 75th 20.0) and contamination fears (median score 16.0; IQR 25th 12.0, 75th 19.0). Lower household income was associated with higher stress level (p = 0.006).ConclusionOur study demonstrated high awareness regarding risk of COVID-19 infection among parents of oncology children. Half of the parents had high stress level, with low household income identified as a factor associated with high stress level.

  9. f

    FMB-2021-0285 Supplementary material

    • tandf.figshare.com
    docx
    Updated May 16, 2024
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    Danilo Buonsenso; Ferran Espuny Pujol; Daniel Munblit; Davide Pata; Sammie Mcfarland; Frances K Simpson (2024). FMB-2021-0285 Supplementary material [Dataset]. http://doi.org/10.25402/FMB.19493735.v1
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    docxAvailable download formats
    Dataset updated
    May 16, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Danilo Buonsenso; Ferran Espuny Pujol; Daniel Munblit; Davide Pata; Sammie Mcfarland; Frances K Simpson
    License

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

    Description

    Table S1. Pre-existing conditions before COVID-19 infection (multiple choices and free text allowed). Conditions found only in 1 Long-COVID child were grouped into OtherTable S2. Symptoms present since COVID-19 infection (multiple choices allowed), by confirmation status of COVID-19 infection.Table S3. Changes reported since COVID infection, by confirmation status of COVID-19 infection, and by the pre-existence of comorbidity conditionsTable S4. Number of changes since COVID-19 infection, by confirmation status of infection, and by the pre-existence of comorbidity conditionsTable S5. Activity level before infection by Participation in Any level of activity in the first 6 weeks of COVID-19 infectionTable S6. Child’s current activity level by Activity level before infectionTable S7. Mental health / cognitive issues since COVID-19 infection (multiple issues per child are usual), by confirmation status of infection, and by the pre-existence of comorbidity conditionsTable S8. Number of mental health / cognitive issues since COVID-19 infection (from those in Table 5, excluding “None of the above” and “Other”), by confirmation status of infection, and by the pre-existence of comorbidity conditionsSupplemental Figure S1. Social media traffic of the Long Covid Kids UK platform.

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

    • www150.statcan.gc.ca
    • ouvert.canada.ca
    • +1more
    Updated Feb 19, 2025
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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.

  11. f

    Table_1_v1_Unvaccinated Children Are an Important Link in the Transmission...

    • datasetcatalog.nlm.nih.gov
    Updated Mar 8, 2022
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    Chen, Xiaoping; Zheng, Guilin; Huang, Handong; Huang, Liping; Li, Qing; Fang, Jiabin; Lin, Sheng; Chen, Gongping; Lin, Haibin; Yu, Rongguo; Li, Hongru; Li, Hang; Lin, Qunying; Hu, Xiaowei; Wang, Shibiao; Tu, Haijian; Xie, Baosong; Zhong, Wen; Ji, Yuejiao; Li, Hong; Li, Xiaoqin (2022). Table_1_v1_Unvaccinated Children Are an Important Link in the Transmission of SARS-CoV-2 Delta Variant (B1.617.2): Comparative Clinical Evidence From a Recent Community Surge.doc [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000442670
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    Dataset updated
    Mar 8, 2022
    Authors
    Chen, Xiaoping; Zheng, Guilin; Huang, Handong; Huang, Liping; Li, Qing; Fang, Jiabin; Lin, Sheng; Chen, Gongping; Lin, Haibin; Yu, Rongguo; Li, Hongru; Li, Hang; Lin, Qunying; Hu, Xiaowei; Wang, Shibiao; Tu, Haijian; Xie, Baosong; Zhong, Wen; Ji, Yuejiao; Li, Hong; Li, Xiaoqin
    Description

    ObjectiveTo evaluate the necessity of Covid-19 vaccination in children aged < 12 y by comparing the clinical characteristics between unvaccinated children aged < 12 y and vaccinated patients aged ≥ 12y during the Delta surge (B.1.617.2) in Putian, Fujian, China.MethodsA total of 226 patients with SARS-Cov-2 Delta variant (B.1.167.2; confirmed by Real-time PCR positivity and sequencing) were enrolled from Sep 10th to Oct 20th, 2021, including 77 unvaccinated children (aged < 12y) and 149 people aged ≥ 12y, mostly vaccinated. The transmission route was explored and the clinical data of two groups were compared; The effect factors for the time of the nucleic acid negativization (NAN) were examined by R statistical analysis.ResultsThe Delta surge in Putian spread from children in schools to factories, mostly through family contact. Compared with those aged ≥ 12y, patients aged < 12y accounted for 34.07% of the total and showed milder fever, less cough and fatigue; they reported higher peripheral blood lymphocyte counts [1.84 (1.32, 2.71)×10^9/L vs. 1.31 (0.94, 1.85)×10^9/L; p<0.05), higher normal CRP rate (92.21% vs. 57.72%), lower IL-6 levels [5.28 (3.31, 8.13) vs. 9.10 (4.37, 15.14); p<0.05]. Upon admission, their COVID19 antibodies (IgM and IgG) and IgG in convalescence were lower [0.13 (0.00, 0.09) vs. 0.12 (0.03, 0.41), p<0.05; 0.02 (0.00, 0.14) vs. 1.94 (0.54, 6.40), p<0.05; 5.46 (2.41, 9.26) vs. 73.63 (54.63, 86.55), p<0.05, respectively], but longer NAN time (18 days vs. 16 days, p=0.13).ConclusionUnvaccinated children may be an important link in the transmission of SARS-CoV-2 delta variant (B1.617.2), which indicated an urgent need of vaccination for this particular population.

  12. f

    Data_Sheet_1_How Did the COVID-19 Lockdown Affect Children and Adolescent's...

    • figshare.com
    • frontiersin.figshare.com
    docx
    Updated May 30, 2023
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    Sara Ajanovic; Jon Garrido-Aguirre; Bàrbara Baro; Núria Balanza; Rosauro Varo; Pere Millat-Martínez; Sara Arias; Jordi Fonollosa; Alexandre Perera-Lluna; Iolanda Jordan; Carmen Muñoz-Almagro; Elisenda Bonet-Carne; Aina Crosas-Soler; Esther Via; Begonya Nafria; Juan José García-García; Quique Bassat (2023). Data_Sheet_1_How Did the COVID-19 Lockdown Affect Children and Adolescent's Well-Being: Spanish Parents, Children, and Adolescents Respond.DOCX [Dataset]. http://doi.org/10.3389/fpubh.2021.746052.s001
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    docxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Sara Ajanovic; Jon Garrido-Aguirre; Bàrbara Baro; Núria Balanza; Rosauro Varo; Pere Millat-Martínez; Sara Arias; Jordi Fonollosa; Alexandre Perera-Lluna; Iolanda Jordan; Carmen Muñoz-Almagro; Elisenda Bonet-Carne; Aina Crosas-Soler; Esther Via; Begonya Nafria; Juan José García-García; Quique Bassat
    License

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

    Description

    Background: During the COVID-19 pandemic, lockdown strategies have been widely used to contain SARS-CoV-2 virus spread. Children and adolescents are especially vulnerable to suffering psychological effects as result of such measures. In Spain, children were enforced to a strict home lockdown for 42 days during the first wave. Here, we studied the effects of lockdown in children and adolescents through an online questionnaire.Methods: A cross-sectional study was conducted in Spain using an open online survey from July (after the lockdown resulting from the first pandemic wave) to November 2020 (second wave). We included families with children under 16 years-old living in Spain. Parents answered a survey regarding the lockdown effects on their children and were instructed to invite their children from 7 to 16 years-old (mandatory scholar age in Spain) to respond a specific set of questions. Answers were collected through an application programming interface system, and data analysis was performed using R.Results: We included 1,957 families who completed the questionnaires, covering a total of 3,347 children. The specific children's questionnaire was completed by 167 kids (7–11 years-old), and 100 adolescents (12–16 years-old). Children, in general, showed high resilience and capability to adapt to new situations. Sleeping problems were reported in more than half of the children (54%) and adolescents (59%), and these were strongly associated with less time doing sports and spending more than 5 h per day using electronic devices. Parents perceived their children to gain weight (41%), be more irritable and anxious (63%) and sadder (46%). Parents and children differed significantly when evaluating children's sleeping disturbances.Conclusions: Enforced lockdown measures and isolation can have a negative impact on children and adolescent's mental health and well-being. In future waves of the current pandemic, or in the light of potential epidemics of new emerging infections, lockdown measures targeting children, and adolescents should be reconsidered taking into account their infectiousness potential and their age-specific needs, especially to facilitate physical activity and to limit time spent on electronic devices.

  13. f

    Data from: Post-traumatic stress disorder in German youth: representative...

    • tandf.figshare.com
    docx
    Updated Jun 25, 2025
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    Jule Leickert; Stephan Zillmer; Christian J. Bachmann; Annika Vivirito; Dirk Enders; Christoph U. Correll; Charlotte Jaite (2025). Post-traumatic stress disorder in German youth: representative claims data pre- vs. intra-COVID-19-pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.29400171.v1
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    docxAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Jule Leickert; Stephan Zillmer; Christian J. Bachmann; Annika Vivirito; Dirk Enders; Christoph U. Correll; Charlotte Jaite
    License

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

    Description

    Background: COVID-19-exposure and related restrictions may have contributed to the development or exacerbation of post-traumatic stress disorders (PTSD), especially in youth. However, data in this population is lacking. Objective: This study aimed to provide a thorough insight into the epidemiology and psychiatric comorbidities of PTSD as well as in- and outpatient treatment utilisation by those affected during vs. before COVID-19 in a representative sample of children and adolescents statutorily insured in Germany. Methods: The study is based on anonymized claims data of statutory insured youth aged 0.0–17.9 years from the InGef research database, which is representative of the German population. Prevalence, incidence, comorbidities of PTSD (ICD-10: F43.1, F43.8, F43.9) and in- and outpatient treatment for those affected were compared pre-COVID (01/2018–03/2020; N = 710.629) vs. intra-COVID (04/2020–12/2021; N = 698.108) using descriptive statistics, χ2 tests, Welch-tests and interrupted time series analyses stratified by sex, age (children: 0–13 years; adolescents: 14–17 years), and socio-economic status (SES). Results: PTSD prevalence decreased intra-COVID (girls: 0.8%, n = 2.595 vs. 0.6%, n = 1.965; OR = 0.77 [0.73, 0.82]; boys: 0.6%, n = 2.066 vs. 0.4%, n = 1.547; OR = 0.76 [0.71, 0.81]). Quarterly incidence in female children with high SES showed a significant increase in slope pre-COVID to intra-COVID (p = .018). Externalising comorbidities increased especially in female adolescents (OR = 1.34 [1.05, 1.72]). Psychotherapy utilisation decreased in male children with low SES (OR = 0.63 [0.41, 0.98]) and increased in adolescent girls with low SES (OR = 1.73 [1.09, 2.74]). Hospitalisations among female adolescents only decreased for those with low SES (OR = 0.67 [0.38, 1.19]). Conclusions: We observed similar decreases in clinical PTSD-diagnoses for girls and boys, possibly reflecting overstretched health services, particularly at an early stage of COVID-19. However, treatment utilisation shows sex and SES differences that cannot be fully explained by our data. We found an overall reduction in the prevalence and incidence of post-traumatic stress disorder (PTSD) in children and adolescents during the COVID-19-pandemic in Germany. However, the quarterly increase in the incidence of PTSD also indicates an initial rise in unregistered PTSD cases.Adolescents with PTSD showed increased utilisation of psychotherapeutic/psychiatric help during COVID-19, however, those with low SES (vs. medium/high SES) are still underrepresented.Children with PTSD, particularly boys, used less psychotherapeutic/psychiatric treatment options intra-COVID. We found an overall reduction in the prevalence and incidence of post-traumatic stress disorder (PTSD) in children and adolescents during the COVID-19-pandemic in Germany. However, the quarterly increase in the incidence of PTSD also indicates an initial rise in unregistered PTSD cases. Adolescents with PTSD showed increased utilisation of psychotherapeutic/psychiatric help during COVID-19, however, those with low SES (vs. medium/high SES) are still underrepresented. Children with PTSD, particularly boys, used less psychotherapeutic/psychiatric treatment options intra-COVID.

  14. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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NCHS/DVS (2023). Provisional COVID-19 Deaths: Focus on Ages 0-18 Years [Dataset]. https://data.cdc.gov/widgets/nr4s-juj3?mobile_redirect=true

Provisional COVID-19 Deaths: Focus on Ages 0-18 Years

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3 scholarly articles cite this dataset (View in Google Scholar)
csv, xml, xlsxAvailable download formats
Dataset updated
Jun 28, 2023
Dataset authored and provided by
NCHS/DVS
License

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

Description

Effective June 28, 2023, this dataset will no longer be updated. Similar data are accessible from CDC WONDER (https://wonder.cdc.gov/mcd-icd10-provisional.html).

Deaths involving coronavirus disease 2019 (COVID-19) with a focus on ages 0-18 years in the United States.

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