Descriptive epidemiology of measles cases in Bauchi State, 2013-2018

Factors influencing the first dose of measles vaccination uptake in 42 low- and middle-income countries

OBJECTIVES

Vaccination against measles still stands as a highly impactful public health strategy for mitigating childhood morbidity and mortality. Relatively poor immunization coverage among children has been observed in low and middle-income countries (LMICs). Our study intended to determine socio-demographic factors associated with the 1st dose of measles vaccination among South Asian (SA) and SubSaharan African (SSA) countries children.

STUDY DESIGN

This was a cross-sectional study.

METHODS

This study utilized demographic and health survey data from 42 low-and middle-income countries (LMICs) in SA and SSA. The children's dataset yielded 255,775 children between the ages of 12 and 59 months. The independent predictors were determined by using crude and adjusted odds ratios with 95% confidence intervals (CI).

RESULTS

The prevalence of first-dose measles-immunized children was 55.5% for the selected LMICs. The multivariable analysis for combined regions (SA and SSA) showed that parents with a higher level of education, rich wealth quintile, mothers with media access, mothers with more than four antenatal care (ANC) visits and baby postnatal check-up (PNC) within two months were significantly associated with the first dose of measles vaccination among children.

CONCLUSION

The first dose measles immunization coverage in the selected LMICs was considerably low. To boost the uptake of childhood measles vaccination, public health interventions particularly need to focus on children born to uneducated parents, poor families, and those who have not used health services (ANC and PNC). Financial funding is crucial for establishing mobile vaccination clinics to improve immunization rates among the impoverished.

Descriptive Analysis of Measles Outbreak in Liberia, 2022

Background

Liberia reported a large outbreak of measles involving all the counties in 2022. We conducted a descriptive analysis of the measles surveillance data to understand the trend of the outbreak and guide further policy action to prevent future outbreaks.

Methods

We analyzed the measles surveillance data from Epi week 1 to 51, 2022. All the laboratory-confirmed cases, clinically compatible and epidemiologically linked cases were included in the analysis, the variables of interest included the patient's age, sex, place of residence, measles classification, measles vaccination status, and outcome. We cleaned and analyzed the data using R version 4.2.0 and Arc GIS Pro. The demographic characteristics of the cases were presented, the progression of the cases was presented in Epicurve and the spatial distribution and the case fatality rate (CFR) of the case were presented at the district level using the Arc GIS Pro.

Results

The median age of the cases was 4 years (interquartile range: 2-8 years). Children under five years of age constituted 60% of the cases (4836/8127), and females accounted for 52% (4204/8127) of the cases. Only 1% (84/8127) of the cases had documentary evidence of receiving at least one dose of measles-containing vaccine (MCV). Only 3 out of 92 health districts in the country did not report a case of measles during the period under review. The overall cases fatality rate was 1% however CFR of up to 10% were reported in some districts.

Conclusion

The outbreak of measles involved almost all the districts of the country, exposing a possible nationwide suboptimal immunization coverage for MCV. The high CFR reported in some districts needs further investigation.

Cost analysis of an innovative eHealth program in Nigeria: a case study of the vaccine direct delivery system

INTRODUCTION

Vaccine stockout is a severe problem in Africa, including Nigeria, which could have an adverse effect on vaccination coverage and even health outcomes among the population. The Vaccine Direct Delivery (VDD) program was introduced to manage vaccine stockouts using eHealth technology. This study conducts a cost analysis of the VDD program and calculates the incremental costs of reaching an additional child for vaccination through the VDD program.

METHODS

We used the expense reports from eHealth Africa, an NGO which implemented the VDD program, to calculate the VDD program's overall operating costs. We also used the findings from the literature to translate the effect of VDD on the reduction of vaccine stockouts into its effect on the increase in vaccination coverage. We calculated the incremental costs of reaching an additional child for vaccination through the VDD program.

RESULTS

We calculated that implementing the VDD program cost USD10,555 monthly for the 42 months that the VDD program was operating in Bauchi state. This figure translates to an incremental cost of USD20.6 to reach one additional child for vaccination.

DISCUSSION/CONCLUSIONS

Our study is one of the first to conduct a cost analysis of eHealth technology in Africa. The incremental cost of USD20.6 was within the range of other interventions that intended to increase vaccine uptake in low- and middle-income countries. The VDD program is a promising technology to substantially reduce vaccine stockout, leading to a reduction of over 55% at a reasonable cost, representing 26% of the total budget for routine immunization activities in Bauchi state. However, there is no comparable costing study that evaluates the cost of a supply chain strengthening intervention. Future studies should investigate further the feasibility of eHealth technology, as well as how to minimize its costs of implementation while keeping the efficacy of the program.

Mapping the distribution of zero-dose children to assess the performance of vaccine delivery strategies and their relationships with measles incidence in Nigeria

Geographically precise identification and targeting of populations at risk of vaccine-preventable diseases has gained renewed attention within the global health community over the last few years. District level estimates of vaccination coverage and corresponding zero-dose prevalence constitute a potentially useful evidence base to evaluate the performance of vaccination strategies. These estimates are also valuable for identifying missed communities, hence enabling targeted interventions and better resource allocation. Here, we fit Bayesian geostatistical models to map the routine coverage of the first doses of diphtheria-tetanus-pertussis vaccine (DTP1) and measles-containing vaccine (MCV1) and corresponding zero-dose estimates in Nigeria at 1x1 km resolution and the district level using geospatial data sets. We also map MCV1 coverage before and after the 2019 measles vaccination campaign in the northern states to further explore variations in routine vaccine coverage and to evaluate the effectiveness of both routine immunization (RI) and campaigns in reaching zero-dose children. Additionally, we map the spatial distributions of reported measles cases during 2018 to 2020 and explore their relationships with MCV zero-dose prevalence to highlight the public health implications of varying performance of vaccination strategies across the country. Our analysis revealed strong similarities between the spatial distributions of DTP and MCV zero dose prevalence, with districts with the highest prevalence concentrated mostly in the northwest and the northeast, but also in other areas such as Lagos state and the Federal Capital Territory. Although the 2019 campaign reduced MCV zero-dose prevalence substantially in the north, pockets of vulnerabilities remained in areas that had among the highest prevalence prior to the campaign. Importantly, we found strong correlations between measles case counts and MCV RI zero-dose estimates, which provides a strong indication that measles incidence in the country is mostly affected by RI coverage. Our analyses reveal an urgent and highly significant need to strengthen the country's RI program as a longer-term measure for disease control, whilst ensuring effective campaigns in the short term.