2023-07-16-世界卫生组织-Immunization_Solomon_Islands_2023_country_profile_18页_375kb

报告摘要

Solomon Islands Immunization Coverage Summary

Background

WHO and UNICEF jointly estimate national immunization coverage in the Solomon Islands, with the next revision planned for July 15, 2024. The data presented are received as of June 26, 2023. Estimates are based on reported data, surveys, administrative records, and empirical considerations, with due attention to potential data biases.

Immunization Doses Covered

Key Doses Monitored

BCG
- Estimate for the first dose of BCG vaccine.
DTP1/DTP3
- Coverage for the first/third dose of diphtheria/tetanus/pertussis vaccine, showing progression toward full immunization.
Pol3
- Protection rate against polio via the third dose.
HepB Birth Dose
- Hepatitis B vaccination within 24 hours of birth in targeted universal birth dose policies.
MCV1
- Measles-containing vaccine first dose.
IPV1
- Inactivated polio virus vaccine first dose (commenced in 2015).
Others include Hib3, MCV2, RCV1, HepB3, and RotaC as needed based on local schedules.

Data Consistency & Challenges

Most estimates for 2022 rely on reported data without nationally representative surveys, recommending high-quality survey implementation.
"D-" challenge remarks are frequent for recent years (2020–2022), indicating potential gaps in reported coverage or lack of complete data.
High reliance on reported data; survey-based estimates occur occasionally (e.g., 2013 and 2015).
Periodic fluctuations, like in 2013, due to reduced provincial program activity.

Trends Overview

Over recent years, coverage has fluctuated between ~60%–97% depending on the vaccine and period (2011–2022).
Some vaccines show saturation in recent years (e.g., >85%), possibly indicating systemic improvements; others show pressure points due to reporting issues, aging cohorts, or program interruptions.
The frequency of mid-year disruptions or one-time campaigns may account for sudden peaks or dips in reported coverage.

Caveats

These figures should be interpreted cautiously, as they lack classical uncertainty intervals and are based on varying data quality. Official, administrative, and survey data often diverge, yet no formal method is used to harmonize them fully. The Grade of Confidence provided reflects empirical support but does not equate to data quality validation.

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