@article{UTAZI20203062,

title = {Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: Analysis of recent household surveys},

author = {C. Edson Utazi and John Wagai and Oliver Pannell and Felicity T. Cutts and Dale A. Rhoda and Matthew J. Ferrari and Boubacar Dieng and Joseph Oteri and M. Carolina Danovaro-Holliday and Adeyemi Adeniran and Andrew J. Tatem},

url = {https://www.sciencedirect.com/science/article/pii/S0264410X20303017},

doi = {https://doi.org/10.1016/j.vaccine.2020.02.070},

issn = {0264-410X},

year  = {2020},

date = {2020-01-01},

journal = {Vaccine},

volume = {38},

number = {14},

pages = {3062-3071},

abstract = {Measles vaccination campaigns are conducted regularly in many low- and middle-income countries to boost measles control efforts and accelerate progress towards elimination. National and sometimes first-level administrative division campaign coverage may be estimated through post-campaign coverage surveys (PCCS). However, these large-area estimates mask significant geographic inequities in coverage at more granular levels. Here, we undertake a geospatial analysis of the Nigeria 2017–18 PCCS data to produce coverage estimates at 1 × 1 km resolution and the district level using binomial spatial regression models built on a suite of geospatial covariates and implemented in a Bayesian framework via the INLA-SPDE approach. We investigate the individual and combined performance of the campaign and routine immunization (RI) by mapping various indicators of coverage for children aged 9–59 months. Additionally, we compare estimated coverage before the campaign at 1 × 1 km and the district level with predicted coverage maps produced using other surveys conducted in 2013 and 2016–17. Coverage during the campaign was generally higher and more homogeneous than RI coverage but geospatial differences in the campaign’s reach of previously unvaccinated children are shown. Persistent areas of low coverage highlight the need for improved RI performance. The results can help to guide the conduct of future campaigns, improve vaccination monitoring and measles elimination efforts. Moreover, the approaches used here can be readily extended to other countries.},

keywords = {Geospatial analysis, Measles vaccine, Post-campaign coverage survey, Routine immunization, Supplementary immunization activities},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.1016/j.ijgo.2015.11.004,

title = {Spatial distribution of emergency obstetric and newborn care services in Ghana: Using the evidence to plan interventions},

author = {Samuel Bosomprah and Andrew J. Tatem and Winfred Dotse-Gborgbortsi and Patrick Aboagye and Zoe Matthews},

url = {https://obgyn.onlinelibrary.wiley.com/doi/abs/10.1016/j.ijgo.2015.11.004},

doi = {https://doi.org/10.1016/j.ijgo.2015.11.004},

year  = {2016},

date = {2016-01-01},

journal = {International Journal of Gynecology & Obstetrics},

volume = {132},

number = {1},

pages = {130-134},

abstract = {Abstract Objective To provide clear policy directions for gaps in the provision of signal function services and sub-regions requiring priority attention using data from the 2010 Ghana Emergency Obstetric and Newborn Care (EmONC) survey. Methods Using 2010 survey data, the fraction of facilities with only one or two signal functions missing was calculated for each facility type and EmONC designation. Thematic maps were used to provide insight into inequities in service provision. Results Of 1159 maternity facilities, 89 provided all the necessary basic or comprehensive EmONC signal functions 3 months prior to the 2010 survey. Only 21% of facility-based births were in fully functioning EmONC facilities, but an additional 30% occurred in facilities missing one or two basic signal functions—most often assisted vaginal delivery and removal of retained products. Tackling these missing signal functions would extend births taking place in fully functioning facilities to over 50%. Subnational analyses based on estimated total pregnancies in each district revealed a pattern of inequity in service provision across the country. Conclusion Upgrading facilities missing only one or two signal functions will allow Ghana to meet international standards for availability of EmONC services. Reducing maternal deaths will require high national priority given to addressing inequities in the distribution of EmONC services.},

keywords = {Emergency obstetric and newborn care (EmONC), Geospatial analysis, Ghana, Maternal mortality, Needs assessment, Signal functions},

pubstate = {published},

tppubtype = {article}

}