WorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK.
Southampton Statistical Sciences Research Institute, University of Southampton, Southampton, SO17 1BJ, UK.
Nat Commun. 2019 Apr 9;10(1):1633. doi: 10.1038/s41467-019-09611-1.
The success of vaccination programs depends largely on the mechanisms used in vaccine delivery. National immunization programs offer childhood vaccines through fixed and outreach services within the health system and often, additional supplementary immunization activities (SIAs) are undertaken to fill gaps and boost coverage. Here, we map predicted coverage at 1 × 1 km spatial resolution in five low- and middle-income countries to identify areas that are under-vaccinated via each delivery method using Demographic and Health Surveys data. We compare estimates of the coverage of the third dose of diphtheria-tetanus-pertussis-containing vaccine (DTP3), which is typically delivered through routine immunization (RI), with those of measles-containing vaccine (MCV) for which SIAs are also undertaken. We find that SIAs have boosted MCV coverage in some places, but not in others, particularly where RI had been deficient, as depicted by DTP coverage. The modelling approaches outlined here can help to guide geographical prioritization and strategy design.
疫苗接种计划的成功在很大程度上取决于疫苗接种的机制。国家免疫规划通过卫生系统内的固定和外展服务提供儿童疫苗,并且通常还开展额外的补充免疫活动(SIAs),以填补空白并提高覆盖率。在这里,我们以 1×1 公里的空间分辨率绘制了五个低收入和中等收入国家的预测覆盖率图,以确定通过每种交付方法进行疫苗接种的不足地区,使用的是人口与健康调查数据。我们比较了含白喉、破伤风和百日咳疫苗(DTP3)的第三剂疫苗覆盖率的估计值,该疫苗通常通过常规免疫(RI)进行接种,以及含麻疹疫苗(MCV)的估计值,因为后者也开展了 SIAs。我们发现,SIAs 在某些地方提高了 MCV 的覆盖率,但在其他地方没有,特别是在 RI 不足的地方,如 DTP 覆盖率所描绘的那样。这里概述的建模方法可以帮助指导地理优先排序和战略设计。