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Quantifying Averted Burden From Infectious Disease Control Policies
Quantifying Averted Burden From Infectious Disease Control Policies
Detailed Information
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202104701
- ISBN
- 9798288822384
- DDC
- 614
- 저자명
- Carter, Austin.
- 서명/저자
- Quantifying Averted Burden From Infectious Disease Control Policies
- 발행사항
- [Sl] : University of Washington, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 39 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-01, Section: B.
- 주기사항
- Advisor: Smith, David L.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2025.
- 초록/해제
- 요약This dissertation explores methods for calculating averted burden from infectious disease control policies and applies those methods in the contexts of pediatric HIV in sub-Saharan Africa and malaria in Uganda. In my first aim, I describe the Shapley value estimate as the preferred approach to decomposition and then introduce an innovation to the application of Shapley value estimation in the context of interventions implemented at different times with overlapping effects. I call this innovation sequential Shapley value estimation and detail the algorithm for its application. In my second aim, I apply sequential Shapley value estimation to calibrated estimates of pediatric HIV burden in sub-Saharan Africa. I present intervention coverage level for three biomedical interventions and highlight variable impact made through these interventions in preventing new HIV infections and mortality among children under-15. I also estimate avertable burden in 2023 and discuss the implications for future policy. In my third aim, I propose a framework for evaluating outbreak detection approaches using averted burden and apply it to malaria outbreak detection in Uganda.
- 일반주제명
- Public health
- 일반주제명
- Biomedical engineering
- 일반주제명
- Pediatrics
- 키워드
- Coverage level
- 키워드
- Pediatric HIV
- 키워드
- Malaria
- 기타저자
- University of Washington Health Metrics Sciences
- 기본자료저록
- Dissertations Abstracts International. 87-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798288822384
■035 ▼a(MiAaPQ)AAI32116207
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614
■1001 ▼aCarter, Austin.
■24510▼aQuantifying Averted Burden From Infectious Disease Control Policies
■260 ▼a[Sl]▼bUniversity of Washington▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a39 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-01, Section: B.
■500 ▼aAdvisor: Smith, David L.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2025.
■520 ▼aThis dissertation explores methods for calculating averted burden from infectious disease control policies and applies those methods in the contexts of pediatric HIV in sub-Saharan Africa and malaria in Uganda. In my first aim, I describe the Shapley value estimate as the preferred approach to decomposition and then introduce an innovation to the application of Shapley value estimation in the context of interventions implemented at different times with overlapping effects. I call this innovation sequential Shapley value estimation and detail the algorithm for its application. In my second aim, I apply sequential Shapley value estimation to calibrated estimates of pediatric HIV burden in sub-Saharan Africa. I present intervention coverage level for three biomedical interventions and highlight variable impact made through these interventions in preventing new HIV infections and mortality among children under-15. I also estimate avertable burden in 2023 and discuss the implications for future policy. In my third aim, I propose a framework for evaluating outbreak detection approaches using averted burden and apply it to malaria outbreak detection in Uganda.
■590 ▼aSchool code: 0250.
■650 4▼aPublic health
■650 4▼aBiomedical engineering
■650 4▼aPediatrics
■653 ▼aBiomedical interventions
■653 ▼aCoverage level
■653 ▼aPediatric HIV
■653 ▼aMalaria
■690 ▼a0573
■690 ▼a0541
■690 ▼a0767
■71020▼aUniversity of Washington▼bHealth Metrics Sciences.
■7730 ▼tDissertations Abstracts International▼g87-01B.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17358429▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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