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Rotavirus immunization among children

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TitleInfo
Title
Rotavirus immunization among children
SubTitle
examination of coverage and impact in the United States
Name (type = personal)
NamePart (type = family)
Jani
NamePart (type = given)
Nisha C.
NamePart (type = date)
1978-
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Nisha C. Jani
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RoleTerm (authority = RULIB)
author
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Halperin
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William
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William Halperin
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Advisory Committee
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chair
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Davidow
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Amy
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Amy Davidow
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Advisory Committee
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internal member
Name (type = personal)
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Marcus
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Andrea
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Andrea Marcus
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Kim
NamePart (type = given)
Soyeon
DisplayForm
Soyeon Kim
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
School of Graduate Studies
Role
RoleTerm (authority = RULIB)
school
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Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2017
DateOther (qualifier = exact); (type = degree)
2017-10
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2017
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Context: Rotavirus is the most common cause of diarrhea and vomiting in infants and young children. The implementation of the rotavirus vaccination program in the United States has resulted in a marked reduction in diarrhea hospitalizations and related hospital costs among children nationally. There are several existing surveillance systems used by Public Health related to Rotavirus in the United States. Disease incidence can be tracked through medical records and passive reporting. The Vaccine Adverse Event Reporting System (VAERS) serves as an early warning system to ensure the safety of vaccines administered in the United States. Surveillance of national vaccine coverage is captured by the National Immunization Survey (NIS). The NIS is conducted annually and surveys households in the United States with children of ages between 19 and 35 months at the time of the interview. Vaccine coverage data can be a total in the determination of children at highest risk of under immunization. Examination of coverage rates by birth cohort can also supply valuable information regarding areas of need. The various existing surveillance systems can be incorporated into the larger Deming Cycle, as known as the PDSA cycle. This Total Quality Management (TQM) can be applied to public health to focus on change and improvement at the procedural level. Specific Aims: The aims of this dissertation were to examine rotavirus immunization coverage in among children in the United States. (1) Review the application of Total Quality Management (TQM) in public health practice and the implementation regarding the Rotavirus Vaccine United States of America. (2) Examination of demographic and health related risk factors among children who are not up-to-date with their rotavirus immunizations (3) Comparison of immunization rates cross sectionally and by birth cohort. Methods: The first section examined current surveillance systems for the Rotavirus Vaccine. In particular focusing on the role of TQM and surveillance loops that can lead to the procedural improvements in public health practice. The data used for the analysis of the National Immunization Survey (NIS) for the years 2008-2014. Trends in rotavirus vaccination coverage were examined in children 19-35 months of age residing in the United States to assess changes in vaccine uptake in specific groups of participants. The primary outcome measure for this study is participant's rotavirus vaccination status. Descriptive analyses were performed among participants. Bivariate associations for all the risk factors by Rao Scott χ2 were examined. Multivariable logistic regression was used for the binary up-to-date status for rotavirus vaccination. Results: The overall coverage rates for rotavirus vaccination increased progressively across the NIS data collection years from 2010 to 2014 (59.2% to 71.7%) and across birth cohorts 2007-2009 (53.8% to 70.7%). The distribution of the covariates was consistent in both approaches. During both study periods children who were first born had greater odds of under immunization when compared with children born at a later birth order with OR =1.14 (CI 1.13-1.14) in NIS year 2010 and OR =1.21 (CI 1.05-1.39) among children born in 2010. A child being up to date with the 4:3:1:3:3:1 immunization series was shown to be more likely to have full coverage of rotavirus vaccination as well in each year: OR=0.32 (95% CI 0.32-0.32) in NIS year 2010 versus OR=0.20 (95% CI 0.20-0.20) in NIS year 2014. Likewise, this trend was evident when assessing the participants by year of birth. A child being up to date with this same six vaccine series was shown to be more likely to have full coverage of rotavirus vaccination in each year: OR=0.51 (95% CI 0.45-0.58) in birth year 2010 versus OR=0.31 (95% CI 0.26-0.36) in birth year 2012. The risk among children who live in households below the national poverty line decrease compared with households with incomes that lie above the national poverty line: OR =0.99 (95% CI 0.98-0.99) in 2010 versus OR =0.64 (CI 0.64-0.64) in 2014. The risk among children who live in households below the national poverty line decrease compared with household with incomes that lie above the national poverty line: OR =0.99 (95% CI 0.98-0.99) in 2010 versus OR =0.64 (CI 0.64-0.64) in 2014. Conclusion: Surveillance is a core function of public health. It is the ongoing, systematic collection, analysis, and interpretation of health data which is essential to the planning and implementation of public health practice. To be truly effective it needs to include a continuous ongoing system. One existing surveillance system for Rotavirus pretains to vaccine coverage. The National Immunization Survey is the primary source of vaccine estimates. It is conducted annually jointly by National Center for Immunizations and Respiratory Diseases (NCIRD) and the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC). The objective is to provide household, population-based, state and local area estimates of vaccination coverage among children 19-35 months of age. It assess the cumulative incidence of vaccine coverage for 14 childhood vaccines. The vaccines are selected based on recommendations from the Advisory Council of Immunization Practice (ACIP). Rotavirus vaccine coverage rates have steadily increased annually. The comparison of the two different approaches of analysis show that non stratified analysis can give an inaccurate image of coverage rates. For instances, poverty appears to be confounded by year of birth. Therefore it is important to take year of birth into account since trends may not be similar when looking at the two different types of sequential cross sectional survey analysis.
Subject (authority = RUETD)
Topic
Public Health
Subject (authority = ETD-LCSH)
Topic
Rotavirus infections--Vaccination--United States
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_8474
PhysicalDescription
Form (authority = gmd)
electronic resource
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application/pdf
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text/xml
Extent
1 online resource (x, 87 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Nisha C. Jani
RelatedItem (type = host)
TitleInfo
Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T33N26HJ
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Jani
GivenName
Nisha
MiddleName
C.
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-10-01 18:11:37
AssociatedEntity
Name
Nisha Jani
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
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License
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Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
RightsEvent
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2017-10-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2019-10-31
Type
Embargo
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2019.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2017-10-12T15:37:33
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2017-10-12T15:37:33
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