Introduction: Despite gains in global coverage of childhood vaccines, many children remain undervaccinated. Vaccination campaigns also known as Supplemental Immunization Activity (SIA) are commonly conducted to reach those who are undervaccinated. However, reaching these children even during an SIA is challenging. We evaluated the effectiveness of an SIA in reaching zero dose children.
Methods: We conducted a prospective study in 10 health center catchment areas in Southern province, Zambia in November 2020. About 2 months before the measles and rubella SIA we developed aerial satellite maps which were then used to enumerate and survey households. Zero dose children were identified during this exercise. After the SIA, households with zero dose children identified before the SIA were targeted for mop up vaccination and to assess if they were vaccinated during the SIA. A Bayesian geospatial model was used to identify factors associated with zero-dose status before the campaign and produce fine-scale prevalence maps. Models were used to identify factors associated with measles zero-dose children reached in the campaign and identify optimal locations for additional vaccination sites.
Results: Before the vaccination campaign, 4% of children under 9 months were DTP zero-dose and 17% of children 9-60 months were measles zero-dose. Of the 461 measles zero-dose children identified before the vaccination campaign, 338 (73.3%) were vaccinated during the campaign, 118 (25.6%) were reached by a targeted mop-up activity. The presence of other children in the household, younger age, greater travel time to health facilities, and living between health facility catchment areas were associated with zero-dose status. Mapping zero-dose prevalence revealed substantial heterogeneity, both within and between catchment areas. Several potential locations were identified for additional vaccination sites.
Conclusion: Fine-scale variation in zero-dose prevalence and the impact of accessibility to healthcare facilities on vaccination coverage were identified. Geospatial modeling can aid targeted vaccination activities.