2022-07-05-世界卫生组织-Immunization_Fiji_2022_country_profile_17页_356kb
报告摘要
WHO and UNICEF Immunization Coverage Estimates for Fiji (2021 Revision)
Background
The World Health Organization (WHO) and United Nations Children's Fund (UNICEF) provide annual estimates of national immunization coverage for Fiji based on data from country reports, administrative sources, and surveys. These estimates consider potential biases and data quality issues, aiming to reflect immunization performance without borrowing from other countries. The 2021 revision uses data received up to July 7, 2022, with the next revision due July 15, 2023.
Key Estimates
- BCG Vaccine: Coverage is estimated at 99% for most years, calibrated to 2011 levels due to the absence of recent surveys.
- DTP1 Vaccine: Cover increases from 61% in 2010 to consistently 99% by 2011, but estimates are often challenged in later years due to unexplained data variations.
- DTP3 and Pol3/IPV1 Vaccines: Coverage remains high at 99%, with estimates sometimes calibrated to previous data or based on card/historical surveys; challenges noted in some years.
- MCV1 and MCV2: Measles-containing vaccine coverage is strong, averaging around 99%, but MCV2 estimates for some years are not reliable due to data inconsistencies.
- Other vaccines like HepBB, HepB3, Hib3, RotaC, and PcV3 show consistently high coverage rates (≈96-99%), though many estimates rely on limited data sources.
Data Quality and Methodology
- Data Sources: Combines reported data, administrative records, and survey estimates, but national surveys are infrequent or outdated.
- Grade of Confidence (GoC): Reflects the support from data sources, not their quality; estimates are often based on interpolation, calibration, or single surveys.
- Challenges: Occur in years with declining coverage or unexplained data changes; recommendations include high-quality surveys and system reviews.
Conclusion
Fiji exhibits high immunization coverage for most vaccines surveyed, but data limitations require cautious interpretation. UNICEF and WHO advise ongoing data improvements to refine estimates, emphasizing that results should be applied to specific contexts rather than as definitive figures.
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