3 datasets found
  1. d

    Data from: Increased mortality rates caused by highly pathogenic avian...

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    Updated Jul 18, 2025
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    Neil Paprocki; Jeff Kidd; Courtney Conway (2025). Increased mortality rates caused by highly pathogenic avian influenza virus in a migratory raptor [Dataset]. http://doi.org/10.5061/dryad.n2z34tn92
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    Dataset updated
    Jul 18, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Neil Paprocki; Jeff Kidd; Courtney Conway
    Description

    Highly pathogenic avian influenza virus (HPAIV) has caused extensive mortalities in wild birds, with a disproportionate impact on raptors since 2021. The population-level impact of HPAIV can be informed by telemetry studies that track large samples of initially healthy, wild birds. We leveraged movement data from 71 rough-legged hawks (Buteo lagopus) across all major North American migratory bird flyways concurrent with the 2022–2023 HPAIV outbreak and identified a total of 29 mortalities, of which 11 were confirmed, and an additional ~9 were estimated to have been caused by HPAIV. We estimated a 28% HPAIV cause-specific mortality rate among rough-legged hawks during a single year concurrent with the HPAIV outbreak in North America. Additionally, the overall annual mortality rate during the HPAIV outbreak (47%) was significantly higher than baseline annual mortality rates (3–17%), suggesting that HPAIV-caused deaths were additive above baseline mortality levels. HPAIV mortalities were c..., , # Increased mortality rates caused by highly pathogenic avian influenza virus in a migratory raptor

    Dataset DOI: 10.5061/dryad.n2z34tn92

    Description of the data and file structure

    We leveraged movement data from GPS-tracked rough-legged hawks Buteo lagopus that coincided with the HPAIV panzootic in North America to determine its effect on annual mortality. All missing and unavailable data represented as NAÂ

    Files and variables

    File: AnnualMortality.csv

    Description:Â spreadsheet used to analyze the HPAIV effect on annual mortality.

    Variables
    • index: index number
    • tagid: transmitter ID (unique to an individual hawk)
    • year: 12-month study period. 2020 = 1-Mar-2020 to 28-Feb-2021, etc...
    • date_begin: date within the 12-month study period that tracking began
    • date_end:Â date within the 12-month study period that tracking ended
    • duration: tracking duration (number of days)
    • fate: individual fate during the 12-month study period...,
  2. Validity of a minimally invasive autopsy for cause of death determination in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jun 3, 2023
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    Paola Castillo; Juan Carlos Hurtado; Miguel J. Martínez; Dercio Jordao; Lucilia Lovane; Mamudo R. Ismail; Carla Carrilho; Cesaltina Lorenzoni; Fabiola Fernandes; Sibone Mocumbi; Zara Onila Jaze; Flora Mabota; Anelsio Cossa; Inacio Mandomando; Pau Cisteró; Alfredo Mayor; Mireia Navarro; Isaac Casas; Jordi Vila; Maria Maixenchs; Khátia Munguambe; Ariadna Sanz; Llorenç Quintó; Eusebio Macete; Pedro Alonso; Quique Bassat; Jaume Ordi; Clara Menéndez (2023). Validity of a minimally invasive autopsy for cause of death determination in maternal deaths in Mozambique: An observational study [Dataset]. http://doi.org/10.1371/journal.pmed.1002431
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Paola Castillo; Juan Carlos Hurtado; Miguel J. Martínez; Dercio Jordao; Lucilia Lovane; Mamudo R. Ismail; Carla Carrilho; Cesaltina Lorenzoni; Fabiola Fernandes; Sibone Mocumbi; Zara Onila Jaze; Flora Mabota; Anelsio Cossa; Inacio Mandomando; Pau Cisteró; Alfredo Mayor; Mireia Navarro; Isaac Casas; Jordi Vila; Maria Maixenchs; Khátia Munguambe; Ariadna Sanz; Llorenç Quintó; Eusebio Macete; Pedro Alonso; Quique Bassat; Jaume Ordi; Clara Menéndez
    License

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

    Area covered
    Mozambique
    Description

    BackgroundDespite global health efforts to reduce maternal mortality, rates continue to be unacceptably high in large parts of the world. Feasible, acceptable, and accurate postmortem sampling methods could provide the necessary evidence to improve the understanding of the real causes of maternal mortality, guiding the design of interventions to reduce this burden.Methods and findingsThe validity of a minimally invasive autopsy (MIA) method in determining the cause of death was assessed in an observational study in 57 maternal deaths by comparing the results of the MIA with those of the gold standard (complete diagnostic autopsy [CDA], which includes any available clinical information). Concordance between the MIA and the gold standard diagnostic categories was assessed by the kappa statistic, and the sensitivity, specificity, positive and negative predictive values and their 95% confidence intervals (95% CI) to identify the categories of diagnoses were estimated. The main limitation of the study is that both the MIA and the CDA include some degree of subjective interpretation in the attribution of cause of death.A cause of death was identified in the CDA in 98% (56/57) of cases, with indirect obstetric conditions accounting for 32 (56%) deaths and direct obstetric complications for 24 (42%) deaths. Nonobstetric infectious diseases (22/32, 69%) and obstetric hemorrhage (13/24, 54%) were the most common causes of death among indirect and direct obstetric conditions, respectively. Thirty-six (63%) women were HIV positive, and HIV-related conditions accounted for 16 (28%) of all deaths. Cerebral malaria caused 4 (7%) deaths. The MIA identified a cause of death in 86% of women. The overall concordance of the MIA with the CDA was moderate (kappa = 0.48, 95% CI: 0.31–0.66). Both methods agreed in 68% of the diagnostic categories and the agreement was higher for indirect (91%) than for direct obstetric causes (38%). All HIV infections and cerebral malaria cases were identified in the MIA. The main limitation of the technique is its relatively low performance for identifying obstetric causes of death in the absence of clinical information.ConclusionsThe MIA procedure could be a valuable tool to determine the causes of maternal death, especially for indirect obstetric conditions, most of which are infectious diseases.The information provided by the MIA could help to prioritize interventions to reduce maternal mortality and to monitor progress towards achieving global health targets.

  3. f

    DataSheet1_Associations of serum folate and vitamin B12 levels with...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Dec 5, 2024
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    Zhu, Jiaxin; Lv, Pengju; Deng, Jian; Liao, Xinyi; Du, Lei (2024). DataSheet1_Associations of serum folate and vitamin B12 levels with all-cause mortality among patients with metabolic dysfunction associated steatotic liver disease: a prospective cohort study.docx [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001353816
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    Dataset updated
    Dec 5, 2024
    Authors
    Zhu, Jiaxin; Lv, Pengju; Deng, Jian; Liao, Xinyi; Du, Lei
    Description

    IntroductionSerum folate and vitamin B12 levels correlate with the prevalence of fatty liver disease, but it is not clear how they affect mortality. Therefore, this study aimed to investigate the association of serum folate and vitamin B12 concentrations with all-cause mortality in individuals with metabolic dysfunction-associated steatotic liver disease (MASLD).MethodsMASLD subjects were from the Third National Health and Nutrition Examination Survey (NHANES III) in the United States, and mortality follow-up data were obtained by linkage to death records from the National Death Index. Multivariable Cox proportional regression models and restricted cubic spline (RCS) models were used to evaluate the association of serum folate/vitamin B12 with all-cause mortality in the MASLD population.Results3,636 and 2,125 MASLD individuals were included in the analyses related to serum folate and vitamin B12, respectively. During a follow-up period of more than 20 years, the RCS models demonstrated significant nonlinear associations of both serum folate (P <0.001) and vitamin B12 (P =0.016) with all-cause mortality in MASLD. When their serum concentrations were below the median level, the risk of all-cause mortality decreased with increasing concentration, reaching a lowest risk around the median level, and then leveled off. In the multivariable cox regression model, for vitamin B12, the risk of all-cause mortality was reduced by 42% and 28% in the third and fourth quartile groups, respectively, compared with the lowest quartile group (hazard ratio [HR]=0.58, 95% CI: 0.39-0.86, P =0.008; HR =0.72, 95% CI: 0.54-0.96, P=0.026, respectively). For folate, the risk of all-cause mortality was reduced by 28% in the third quartile compared with the lowest quartile (HR =0.72, 95% CI: 0.57-0.91, P =0.005).ConclusionThis longitudinal cohort study suggests that low serum folate and vitamin B12 levels in patients with MASLD are significantly associated with an elevated risk of all-cause mortality.

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Neil Paprocki; Jeff Kidd; Courtney Conway (2025). Increased mortality rates caused by highly pathogenic avian influenza virus in a migratory raptor [Dataset]. http://doi.org/10.5061/dryad.n2z34tn92

Data from: Increased mortality rates caused by highly pathogenic avian influenza virus in a migratory raptor

Related Article
Explore at:
Dataset updated
Jul 18, 2025
Dataset provided by
Dryad Digital Repository
Authors
Neil Paprocki; Jeff Kidd; Courtney Conway
Description

Highly pathogenic avian influenza virus (HPAIV) has caused extensive mortalities in wild birds, with a disproportionate impact on raptors since 2021. The population-level impact of HPAIV can be informed by telemetry studies that track large samples of initially healthy, wild birds. We leveraged movement data from 71 rough-legged hawks (Buteo lagopus) across all major North American migratory bird flyways concurrent with the 2022–2023 HPAIV outbreak and identified a total of 29 mortalities, of which 11 were confirmed, and an additional ~9 were estimated to have been caused by HPAIV. We estimated a 28% HPAIV cause-specific mortality rate among rough-legged hawks during a single year concurrent with the HPAIV outbreak in North America. Additionally, the overall annual mortality rate during the HPAIV outbreak (47%) was significantly higher than baseline annual mortality rates (3–17%), suggesting that HPAIV-caused deaths were additive above baseline mortality levels. HPAIV mortalities were c..., , # Increased mortality rates caused by highly pathogenic avian influenza virus in a migratory raptor

Dataset DOI: 10.5061/dryad.n2z34tn92

Description of the data and file structure

We leveraged movement data from GPS-tracked rough-legged hawks Buteo lagopus that coincided with the HPAIV panzootic in North America to determine its effect on annual mortality. All missing and unavailable data represented as NAÂ

Files and variables

File: AnnualMortality.csv

Description:Â spreadsheet used to analyze the HPAIV effect on annual mortality.

Variables
  • index: index number
  • tagid: transmitter ID (unique to an individual hawk)
  • year: 12-month study period. 2020 = 1-Mar-2020 to 28-Feb-2021, etc...
  • date_begin: date within the 12-month study period that tracking began
  • date_end:Â date within the 12-month study period that tracking ended
  • duration: tracking duration (number of days)
  • fate: individual fate during the 12-month study period...,
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