2022-07-05-世界卫生组织-Immunization_Kyrgyzstan_2022_country_profile_19页_373kb

Kyrgyzstan WHO/UNICEF Immunization Coverage Estimates Summary (2021 Revision)

Key Immunization Indicators and Trends (Coverage % with Confidence:):

• BCG: Overall high coverage (96-98%) since 2010, stable. Confirmed annually via administrative and survey data, with high confidence (GoC) in recent years.

• DTP3: Coverage has fluctuated over the years, ranging from 89% to 99%. In 2021, an 89% estimate was noted, with some periods challenged by data reliability (GoC issues D/S-). A notable drop in 2020 led to revised estimates.

• Pol3: Coverage has generally hovered between 88% and 97%, with some fluctuations. Confidence was moderate (GoC S/D) in 2015, with possible stock-out impacts in 2017-2018 leading to challenged estimates.

• IPV1: Introduced in 2018, coverage increased from 54% in 2018, reaching 86% in 2019, with stable estimates post-introduction.

• MCV1: Steady coverage around 96-97%, maintained via both administrative and survey reports since 2010.

• HepB3: Coverage around 95-97% since 2013, often with administered surveys backing estimates, though some years faced challenges.

• DTP1: Shown in estimates, coverage has been around 89-100%. 2021 emphasized DTP3 having minimal drop-out. Overall trends indicate sustained high levels.

Data Sources and Reliability:

• Official/Automatic Data: Frequently used, confidence varies.
• Surveys: Integral for years 2017 onward, especially clusters surveys providing high confidence estimates (GoC R/S/D) when combined with official data.
• Challenges: Migration, stock-outs, differences in denominator estimations, and recall bias occasionally affect data reliability.

Key Findings:

• Immunization coverage in Kyrgyzstan has largely stayed above critical levels for key vaccines (BCG, DTP3, BCG, etc.), but occasional fluctuations exist.
• Recent years show commitment to maintaining or slightly increasing coverage, with HIPV introduction reflecting strategic adjustments.
• Transparent reporting with grading of confidence (GoC) is used to assess data reliability.
• Recommendations depend on objective use, considering the inherent data limitations.