| Literature DB >> 34835161 |
Nabila Shaikh1, Puck T Pelzer2, Sanne M Thysen3,4, Partho Roy5, Rebecca C Harris1,6, Richard G White1.
Abstract
The impact of COVID-19 disruptions on global Bacillus Calmette-Guérin (BCG) coverage and paediatric tuberculosis (TB) mortality is still unknown. To fill this evidence-gap and guide mitigation measures, we estimated the impact of COVID-19 disruptions on global BCG coverage and paediatric TB mortality. First, we used data from multiple sources to estimate COVID-19-disrupted BCG vaccination coverage. Second, using a static mathematical model, we estimated the number of additional paediatric TB deaths in the first 15 years of life due to delayed/missed vaccinations in 14 scenarios-varying in duration of disruption, and magnitude and timing of catch-up. We estimated a 25% reduction in global BCG coverage within the disruption period. The best-case scenario (3-month disruption, 100% catch-up within 3 months) resulted in an additional 886 (0.5%) paediatric TB deaths, and the worst-case scenario (6-month disruption with no catch-up) resulted in an additional 33,074 (17%) deaths. The magnitude of catch-up was found to be the most influential variable in minimising excess paediatric TB mortality. Our results show that ensuring catch-up vaccination of missed children is a critical priority, and delivery of BCG alongside other routine vaccines may be a feasible way to achieve catch-up. Urgent action is required to support countries with recovering vaccination coverages to minimise paediatric deaths.Entities:
Keywords: BCG; COVID-19; immunization; mathematical model; paediatric mortality; tuberculosis
Year: 2021 PMID: 34835161 PMCID: PMC8624525 DOI: 10.3390/vaccines9111228
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Summary of the disruption scenarios ranging in duration, timing, and magnitude of the catch-up.
| Scenario | A | B |
|---|---|---|
| Disruption period | Disruption period: 3 m | Disruption period: 6 m |
| Catch-up strategy | 1. None | 1. None |
1 Measles, mumps, and rubella (MMR).
Data inputs used for developing uncertainty analysis.
| Parameters for Uncertainty Analysis | Point Estimate | Uncertainty Interval | Reference |
|---|---|---|---|
| Vaccine efficacy against tuberculosis death | 0.66 | 0.08–0.88 | [ |
| HIV-negative paediatric male tuberculosis deaths in 2019 | 104,000 | 93,000–115,000 | [ |
| HIV-negative paediatric female tuberculosis deaths in 2019 | 90,000 | 80,000–99,000 | [ |
| Tuberculosis deaths in children younger than 5 years who had not received tuberculosis treatment in 2015 (HIV negative) | 161,000 | 108,000–223,000 | [ |
| Tuberculosis deaths in children younger than 5 years who had received tuberculosis treatment in 2015 (HIV negative) | 2690 | 1850–4180 | [ |
| Tuberculosis deaths in children aged 5–15 years who had not received tuberculosis treatment in 2015 (HIV negative) | 31,500 | 18,600–51,400 | [ |
| Tuberculosis deaths in children aged 5–15 years who had received tuberculosis treatment in 2015 (HIV negative) | 2050 | 1510–3100 | [ |
Summary of data gathered on global BCG disruption in 2020 due to COVID-19 (n = 29 countries).
| Country | Percentage of Global BCG 1 Vaccine Coverage Delivered by Each Country | Reduction in BCG 1 Coverage during Disruption | Reduction in Coverage of Routine Paediatric Immunisations during Disruption | References |
|---|---|---|---|---|
| India | 19.6% | 50% | [ | |
| China | 14.5% | 0% | [ | |
| Pakistan | 4.6% | 41% | [ | |
| Indonesia | 3.8% | 26% | [ | |
| Bangladesh | 2.5% | 96% | Country source | |
| Democratic Republic of Congo | 2.2% | 0% | [ | |
| Brazil | 2.0% | 0% | Country source | |
| Philippines | 1.4% | 0% | [ | |
| Other countries ( | 13.2% | 8% 3 | ||
| WEIGHTED AVERAGE: | 25% | |||
1 Bacillus Calmette-Guérin (BCG); 2 Data from confidential sources and smaller countries where percentage of global vaccine coverage was below 1%; 3 Average across these countries.
Figure 1Vaccine coverage scenarios by age in weeks compared to baseline of no disruption; (A) Scenarios A1 to A7 e.g., disruption for 3 months; (B) Scenarios B1 to B7 e.g., disruption for 6 months.
Figure 2Additional paediatric tuberculosis (TB) deaths from 14 scenarios compared to a baseline of no disruption.