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The Impact of the COVID-19 Pandemic on Neonatal Health Outcomes in Sub-Saharan Africa: A Targeted Investigation of Medical Records in Kinshasa, Democratic Republic of the Congo with an Expansive Meta-Analysis Among Sub-Saharan Countries- [electronic resource]
The Impact of the COVID-19 Pandemic on Neonatal Health Outcomes in Sub-Saharan Africa: A Targeted Investigation of Medical Records in Kinshasa, Democratic Republic of the Congo with an Expansive Meta-Analysis Among Sub-Saharan Countries- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214101228
- ISBN
- 9798379702656
- DDC
- 614.4
- 서명/저자
- The Impact of the COVID-19 Pandemic on Neonatal Health Outcomes in Sub-Saharan Africa: A Targeted Investigation of Medical Records in Kinshasa, Democratic Republic of the Congo with an Expansive Meta-Analysis Among Sub-Saharan Countries - [electronic resource]
- 발행사항
- [S.l.]: : University of California, Los Angeles., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(170 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 84-12, Section: A.
- 주기사항
- Advisor: Rimoin, Anne W.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Despite advances in maternal and neonatal health over the past few decades, a disproportionate amount of adverse birth outcomes (e.g., stillbirth, low birth weight [LBW], and preterm birth [PTB]) still occur in low- and middle-income countries. In the Democratic Republic of the Congo (DRC), health officials have been exploring ways to expand pharmacovigilance (PV) capabilities for the detection of adverse maternal and neonatal health outcomes and also striving to learn more about the impact of the COVID-19 pandemic on neonatal health outcomes. In response, this dissertation utilized a PV study - conducted from July 1, 2019 to January 31, 2021 in Kinshasa, DRC - in conjunction with external surveillance data and data from the literature to address these subjects. Chapter 1 provides a broad summary of the current state of maternal and neonatal health both generally and in the context of the DRC. Chapter 2 assesses the equivalency of alternative data sources (in the form of archival medical records and enhanced monitoring data) to external surveillance data for the detection of maternal and neonatal health outcomes; the results generally indicated that such alternative data sources could serve as suitable PV tools for the monitoring of adverse birth outcomes in Kinshasa, DRC. Chapter 3 utilizes natural experimental methods to investigate the impact of the COVID-19 pandemic on selected neonatal health outcomes; the results revealed that the stillbirth rate appeared to remain stable while the LBW and PTB rates seemed to decline slightly after the imposition of COVID-19 mitigation measures in Kinshasa, DRC. Chapter 4 employs systematic review and meta-analysis methodology to examine the relationship between COVID-19 mitigation measures and neonatal health outcomes in sub-Saharan Africa; despite issues concerning high heterogeneity, the results generally suggested no change in stillbirth, LBW, or PTB after the imposition of COVID-19 mitigation measures among multi-national/national/regional studies but also highlighted the need for further research within sub-Saharan African countries. Chapter 5 provides a high-level summary and implications for future research and public health. Overall, this dissertation provides insights on solutions for PV systems strengthening for the benefit of maternal and neonatal health outcomes and offers additional perspectives on the impact of the COVID-19 pandemic on neonatal health outcomes within the context of the DRC specifically and sub-Saharan Africa more generally.
- 일반주제명
- Epidemiology.
- 일반주제명
- Public health.
- 일반주제명
- Obstetrics.
- 키워드
- COVID-19
- 키워드
- Meta-analysis
- 키워드
- Neonatal health
- 기타저자
- University of California, Los Angeles Epidemiology 0357
- 기본자료저록
- Dissertations Abstracts International. 84-12A.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798379702656
■035 ▼a(MiAaPQ)AAI30527232
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614.4
■1001 ▼aArena, Patrick Joseph.
■24510▼aThe Impact of the COVID-19 Pandemic on Neonatal Health Outcomes in Sub-Saharan Africa: A Targeted Investigation of Medical Records in Kinshasa, Democratic Republic of the Congo with an Expansive Meta-Analysis Among Sub-Saharan Countries▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of California, Los Angeles. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(170 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-12, Section: A.
■500 ▼aAdvisor: Rimoin, Anne W.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aDespite advances in maternal and neonatal health over the past few decades, a disproportionate amount of adverse birth outcomes (e.g., stillbirth, low birth weight [LBW], and preterm birth [PTB]) still occur in low- and middle-income countries. In the Democratic Republic of the Congo (DRC), health officials have been exploring ways to expand pharmacovigilance (PV) capabilities for the detection of adverse maternal and neonatal health outcomes and also striving to learn more about the impact of the COVID-19 pandemic on neonatal health outcomes. In response, this dissertation utilized a PV study - conducted from July 1, 2019 to January 31, 2021 in Kinshasa, DRC - in conjunction with external surveillance data and data from the literature to address these subjects. Chapter 1 provides a broad summary of the current state of maternal and neonatal health both generally and in the context of the DRC. Chapter 2 assesses the equivalency of alternative data sources (in the form of archival medical records and enhanced monitoring data) to external surveillance data for the detection of maternal and neonatal health outcomes; the results generally indicated that such alternative data sources could serve as suitable PV tools for the monitoring of adverse birth outcomes in Kinshasa, DRC. Chapter 3 utilizes natural experimental methods to investigate the impact of the COVID-19 pandemic on selected neonatal health outcomes; the results revealed that the stillbirth rate appeared to remain stable while the LBW and PTB rates seemed to decline slightly after the imposition of COVID-19 mitigation measures in Kinshasa, DRC. Chapter 4 employs systematic review and meta-analysis methodology to examine the relationship between COVID-19 mitigation measures and neonatal health outcomes in sub-Saharan Africa; despite issues concerning high heterogeneity, the results generally suggested no change in stillbirth, LBW, or PTB after the imposition of COVID-19 mitigation measures among multi-national/national/regional studies but also highlighted the need for further research within sub-Saharan African countries. Chapter 5 provides a high-level summary and implications for future research and public health. Overall, this dissertation provides insights on solutions for PV systems strengthening for the benefit of maternal and neonatal health outcomes and offers additional perspectives on the impact of the COVID-19 pandemic on neonatal health outcomes within the context of the DRC specifically and sub-Saharan Africa more generally.
■590 ▼aSchool code: 0031.
■650 4▼aEpidemiology.
■650 4▼aPublic health.
■650 4▼aSub Saharan Africa studies.
■650 4▼aObstetrics.
■653 ▼aCOVID-19
■653 ▼aDemocratic Republic of the Congo
■653 ▼aInterrupted time series
■653 ▼aMeta-analysis
■653 ▼aNeonatal health
■653 ▼aPharmacovigilance
■690 ▼a0766
■690 ▼a0573
■690 ▼a0639
■690 ▼a0380
■71020▼aUniversity of California, Los Angeles▼bEpidemiology 0357.
■7730 ▼tDissertations Abstracts International▼g84-12A.
■773 ▼tDissertation Abstract International
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16933292▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
