Saved and lost: The Health impact of routine vaccination and COVID-19 related restrictions in Democratic Peoples Republic of Korea (1980~2024), a modelling study
Park, H.; Carter, A.; Choe, Y. J.; Kirabo, S. J.; Choi, M.; Sohn, I.; Han, J. H.; Lee, Y. H.
Show abstract
ObjectivesDemocratic Peoples Republic of Korea has historically achieved high routine vaccination coverage, but these programs were substantially restricted during the COVID-19 pandemic. We estimated the cumulative averted disease burden from routine vaccination (1980-2024) and the excess burden associated with coverage declines during the pandemic (2021-2024). MethodsWe conducted a modeling study using WHO-UNICEF coverage data to estimate vaccine-preventable deaths and disability-adjusted life years (DALYs) for 8 pathogens. Estimates were based on mathematical models from the Vaccine Impact Modelling Consortium (VIMC), a global network of over 20 institutions, and the Global Burden of Disease (GBD) study. We applied the year-of-vaccination (YoV) approach to evaluate program performance and the excess burden, and used the calendar-year (CY) approach to assess the impact of catch-up vaccination. Based on historical coverage, pathogen-specific mortality, and vaccine efficacy, we quantified deaths and DALYs averted. To assess COVID-19-related disruptions, we compared actual coverage with a counterfactual scenario of uninterrupted vaccination to estimate the excess burden. FindingsBetween 1980 and 2024, routine vaccination averted an estimated 219 071 deaths (95% credible interval [CrI] 199 896-239 734) and 9.3 million DALYs, with hepatitis B (44{middle dot}37%) and measles (28{middle dot}57%) contributing most. Pandemic-related disruptions in 2021-2024 resulted in 15 624 excess deaths (11 379-20 747) and 649,565 DALYs (525 172-787 409) under the YoV method, partly mitigated by catch-up. ConclusionRoutine vaccination has saved lives and prevented disability. The reduction in vaccination coverage associated with COVID-19 restrictions resulted in an excess burden that catch-up efforts cannot fully address.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- COVID-19 impact on routine immunisations for vaccine-preventable diseases: Projecting the effect of different routes to recovery 96%
- Worldwide routine immunisation coverage regressed during the first year of the COVID-19 pandemic 95%
- Mapping the distribution of zero-dose children to assess the performance of vaccine delivery strategies and their relationships with measles incidence in Nigeria 94%
Similar papers in this journal
- Global and regional burden of attributable and associated bacterial antimicrobial resistance avertable by vaccination: modelling study 96%
- Health spending and vaccination coverage in low-income countries 95%
- Impact of health system strengthening on delivery strategies to improve child immunization coverage and inequalities in rural Madagascar 95%
Similar papers in this journal
- COVID-19 vaccine uptake and effectiveness by time since vaccination in the Western Cape province, South Africa: An observational cohort study during 2020-2022 95%
- Monitoring the Risk of Type-2 Circulating Vaccine-Derived Poliovirus Emergence during Roll-Out of Type-2 Novel Oral Polio Vaccine 94%
- Predicting the epidemiological effects in the United Kingdom of moving from PCV13 to PCV15 in the routine pediatric 1+1 vaccination schedule 93%
Similar papers in this journal
- Global diversity of policy, coverage, and demand of COVID-19 vaccines: a descriptive study 96%
- Potential health and economic impact of paediatric vaccination using next generation influenza vaccines in Kenya: a modelling study 94%
- Effectiveness of inactivated and Ad5-nCoV COVID-19 vaccines against SARS-CoV-2 Omicron BA. 2 variant infection, severe illness, and death 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.