2023-07-16-世界卫生组织-Immunization_Tunisia_2023_country_profile_19页_376kb

报告摘要

Tunisia Immunization Coverage Analysis Summary

Background and Methodology

WHO and UNICEF jointly estimate national immunization coverage for Tunisia based on reported data, surveys, administrative records, and scientific methods. These estimates are country-specific and incorporate grades of confidence (GoC) reflecting data reliability, without classical uncertainty measures. For 2022 data, estimates consider contributions from private sector immunizations, which can account for up to 40% and potentially inflate coverage for some antigens. Data sources include national reports and surveys like the Multiple Indicator Cluster Surveys, with varying confidence levels.

Key Findings

For the period from 2011 to 2022:

Coverage Trends: Most vaccines show high coverage rates (typically above 90% for BCG, DTP, Polio, and Hepatitis B), with steady performance.
Vaccine-Specific Estimates:
- BCG and DTP Vaccines: Maintained high coverage (around 98%), but estimates were challenged in some years due to data limitations.
- Polio-Related Vaccines (Pol3, IPV1): Coverage was generally strong (>97%), but some estimates relied heavily on reported data, raising concerns about accuracy.
- Measles and Rubella Vaccines (MCV1, RCV1): Coverage was consistently high, based on MCV data.
- Hepatitis B Vaccines (HepBB, HepB3): Rates were around 80-98%, with some years showing challenges.
Survey Influence: Surveys provided empirical support for some estimates, but timing and consistency issues sometimes contradicted reported data.
Overall Confidence: Average GoC includes R+, S+, D+ levels, with some estimates considered well-supported but subject to risk of inaccuracy due to potential biases in national reports and administrative data.

Summary Notes

Data from 2023 and later is not yet included in this revision, with the next update expected July 15, 2024.
Estimates should be used cautiously for decision-making, as coverage reflects empirical support but may be sensitive to data biases.
Full details and past estimates are available via provided hyperlinks.

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