Assessing the capacity of primary health care centres to provide routine immunization services amidst COVID-19 lockdown in Kaduna state, Nigeria
Bibliographic record
Abstract
Background: The COVID-19 pandemic continues to disrupt health systems across the globe, preventing access to essential health services. Lockdown measures against the virus may impact negatively on immunization services. This study aimed to ascertain the capacity of primary health care centres in Kaduna North senatorial district to provide routine immunization services amidst a state-wide lockdown.Methods: Cluster sampling was used to select four among eight local Government areas in the district. Facility in-charges and RI focal persons were interviewed using service availability and readiness assessment tool, restricted to immunization tracer items. Paired sample t-test was used to compare the mean number of vaccine doses given in the first quarter of 2020 (pre-lockdown) and the number of doses given in the second quarter (lockdown period).Results: Forty four PHCs were selected from Zaria (29.6%), Sabon Gari (25.0%), Makarfi (22.7%) and Kudan (22.7%). In addition to well-trained RI focal persons, most facilities had vaccines and commodities available. Shortages were noted for EPI guidelines (46%), Meningitis-A vaccine (36%) and certain cold chain equipment (up to 18%). Tetanus-diphtheria (Td-1) doses given during lockdown period were significantly lower than pre-lockdown doses (Mean difference=-45.58, 95% CI: -74.78 to -16.38, d=0.48). No significant difference exists for infant doses.Conclusions: Despite widespread availability of PHC facilities, trained personnel, vaccines and commodities, gaps still exist in service delivery, cold chain practices and vaccine supply management. Lockdown measures significantly disrupted immunization services and effective risk communication was key to achieving sustained utilization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".