Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Using real-life data to model the impact of increasing BCG vaccination coverage and scar prevalence on all-cause infant mortality
CONCLUSIONS: We confirmed previous observations: having a BCG scar markedly reduces infant MR. Increasing current global 2-month BCG vaccination coverage from 76% to 99%, and scar prevalence among vaccinated infants from 52% to 95% might reduce global infant mortality by >200,000 deaths/year. Thus, optimising BCG vaccination programmes to focus on increasing early BCG vaccination coverage and the overall scar prevalence would have major public health benefits.PMID:37479121 | DOI:10.1016/j.annepidem.2023.07.007 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Sarah W Stougaard Christine S Benn Peter Aaby Sebastian Nielsen Frederik Schaltz-Buchholzer Source Type: research
Improving data capture of race and ethnicity for the Food and Drug Administration Sentinel database: a narrative review
CONCLUSION: Limitations on accessible self-reported data for validation will dictate methods to improve race and ethnicity data capture. We recommend methods leveraging multiple sources that account for variations in geography, age, and sex.PMID:37479122 | DOI:10.1016/j.annepidem.2023.07.006 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 21, 2023 Category: Epidemiology Authors: Monica Ter-Minassian Anna J DiNucci Issmatu S Barrie Ryan Schoeplein Aloka Chakravarty Jos é J Hernández-Muñoz Source Type: research
Data quality control in longitudinal epidemiologic studies: conditional studentized residuals from linear mixed effects models for outlier detection in the setting of pediatric chronic kidney disease
CONCLUSIONS: This example demonstrated how longitudinal models can provide CSRs to detect individual-specific outliers. CSRs should be considered as part of quality control for longitudinal epidemiologic studies.PMID:37454831 | DOI:10.1016/j.annepidem.2023.07.005 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 16, 2023 Category: Epidemiology Authors: Derek K Ng Ankur Patel Christopher Cox Source Type: research
Contribution of Vaccinations to Reducing Socioeconomic Disparities in COVID-19 Deaths Across US counties
CONCLUSIONS: Higher county-level poverty rates and lower vaccination rates were associated with greater COVID-19 mortality rates in the US. Aggressive interventions to increase vaccine uptake could substantially reduce the social disparity in COVID-19 mortality.PMID:37454832 | DOI:10.1016/j.annepidem.2023.07.003 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 16, 2023 Category: Epidemiology Authors: Ryunosuke Goto Ichiro Kawachi Naoki Kondo Kosuke Inoue Source Type: research
Data quality control in longitudinal epidemiologic studies: conditional studentized residuals from linear mixed effects models for outlier detection in the setting of pediatric chronic kidney disease
CONCLUSIONS: This example demonstrated how longitudinal models can provide CSRs to detect individual-specific outliers. CSRs should be considered as part of quality control for longitudinal epidemiologic studies.PMID:37454831 | DOI:10.1016/j.annepidem.2023.07.005 (Source: Annals of Epidemiology)
Source: Annals of Epidemiology - July 16, 2023 Category: Epidemiology Authors: Derek K Ng Ankur Patel Christopher Cox Source Type: research
