Developing a systematic approach to better monitor vaccine coverage using multiple data sources

dc.contributor.advisorZeger, Scott L
dc.contributor.committeeMemberO’Brien, Katherine
dc.contributor.committeeMemberMoulton, Lawrence H
dc.contributor.committeeMemberMoss, William J
dc.creatorGong, Wenfeng
dc.date.accessioned2019-04-15T04:08:19Z
dc.date.created2017-12
dc.date.issued2017-10-19
dc.date.submittedDecember 2017
dc.date.updated2019-04-15T04:08:19Z
dc.description.abstractImmunization is one of the most cost-effective ways of preventing child and adult morbidity and mortality due to infectious diseases. Vaccine coverage monitoring at the national and sub-national levels is critical to identify under-vaccinated populations and to improve the performance of immunization services to reach them. Despite substantial improvements since the invention of the Expanded Program on Immunization (EPI) cluster survey method in the 1970s, measuring vaccination coverage with high accuracy and precision remains a very challenging, but often neglected, global problem, especially in low-resource settings. Since household surveys are currently an essential tool for vaccine coverage monitoring in developing countries, this study has focused on survey-based vaccine coverage estimates. Innovative household survey sampling methods (Chapter 3) and data quality inspection approaches (Chapter 5) were explored and designed to improve the quality and operational feasibility of vaccine coverage surveys. In order to overcome the information biases of survey-based vaccine coverage estimates, novel statistical methods were developed (Chapter 4) to incorporate additional evidence from immune marker assessments with survey results for triangulation and adjustments. These approaches to improve vaccine coverage monitoring were integrated and demonstrated through a proof of concept study in Karachi, Pakistan. This dissertation has demonstrated a systematic approach to improve survey-based vaccine coverage monitoring through methodological innovations in survey sampling designs, enhanced quality assurance activities, and incorporation of additional evidence from non-survey data sources.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://jhir.library.jhu.edu/handle/1774.2/60920
dc.language.isoen_US
dc.publisherJohns Hopkins University
dc.publisher.countryUSA
dc.subjectvaccine coverage
dc.subjectimmunization monitoring
dc.subjectbiomarker
dc.subjectdata quality
dc.titleDeveloping a systematic approach to better monitor vaccine coverage using multiple data sources
dc.typeThesis
dc.type.materialtext
local.embargo.lift2019-12-01
local.embargo.terms2019-12-01
thesis.degree.departmentInternational Health
thesis.degree.disciplinePublic Health Studies
thesis.degree.grantorJohns Hopkins University
thesis.degree.grantorBloomberg School of Public Health
thesis.degree.levelDoctoral
thesis.degree.namePh.D.
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