서브메뉴
검색
Emerging and Re-emerging Infectious Diseases and Their Social Contexts
Emerging and Re-emerging Infectious Diseases and Their Social Contexts
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151450
- ISBN
- 9798382810690
- DDC
- 312
- 저자명
- Klein, Jordan D.
- 서명/저자
- Emerging and Re-emerging Infectious Diseases and Their Social Contexts
- 발행사항
- [Sl] : Princeton University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 422 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-04, Section: B.
- 주기사항
- Advisor: Goldman, Noreen.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2024.
- 초록/해제
- 요약This dissertation explores contemporary challenges in re-/emerging infectious diseases and their social drivers and impacts, focusing on the COVID-19 pandemic and the infectious disease consequences of climate change.Chapter I presents the first multidecade climate-mortality study of a non-South African sub-Saharan African city, concentrating on enteric infectious diseases in Antananarivo, Madagascar. Utilizing vital registration data and non-parametric models, I reveal an increasing risk of mortality following heavy rainfall events over time. Given the anticipated increase in frequency and severity of such events due to climate change, these findings underscore the vulnerability of Antananarivo to mortality from re-emerging climate-sensitive diseases.In Chapter II, I analyze the impact of COVID-19-related travel restrictions on migration, focusing on migrants from North and West Africa. Employing digital trace data and dynamic linear panel models, I uncover a paradoxical increase in migrants in countries implementing these restrictions. This suggests that a commonly-used set of pandemic-response policies may be ineffective in achieving their intended goals, highlighting the need for effective policies that take the needs of migrants into account.Finally, Chapter III uses mechanistic epidemiological models to address the empirical challenge of disentangling the roles of interventions like social distancing and vaccination from pre-existing social conditions in the production of COVID-19 mortality gradients in Brazil, arising from a lack of counterfactual evidence from a scenario in which no interventions were implemented to control its spread. This is the first study to incorporate novel theoretical frameworks dissecting the pathways contributing to social gradients in emerging infectious disease mortality into mechanistic epidemiological models, and the first to model the socio-economic drivers of COVID mortality inequalities in Brazil on a national scale, with geospatial specificity, while utilizing real-world data-informed parameters. Parameterizing the model using census, survey, death registration, epidemiological surveillance, and digital trace data, I find that pre-existing social inequities were most responsible for producing COVID-19 mortality disparities, which were further exacerbated by unequally implemented interventions. However, the impacts of these pre-existing inequities could have been counteracted by intervention strategies prioritizing the most disadvantaged. These findings offer insights that could inform more equitable responses to future infectious disease epidemics.
- 일반주제명
- Demography
- 일반주제명
- Epidemiology
- 일반주제명
- Climate change
- 키워드
- COVID-19
- 키워드
- Mortality
- 기타저자
- Princeton University Population Studies
- 기본자료저록
- Dissertations Abstracts International. 86-04B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008250123s2024 us c eng d■001000017161823
■00520250211151450
■006m o d
■007cr#unu||||||||
■020 ▼a9798382810690
■035 ▼a(MiAaPQ)AAI31296707
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a312
■1001 ▼aKlein, Jordan D.▼0(orcid)0000-0001-5417-1647
■24510▼aEmerging and Re-emerging Infectious Diseases and Their Social Contexts
■260 ▼a[Sl]▼bPrinceton University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a422 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-04, Section: B.
■500 ▼aAdvisor: Goldman, Noreen.
■5021 ▼aThesis (Ph.D.)--Princeton University, 2024.
■520 ▼aThis dissertation explores contemporary challenges in re-/emerging infectious diseases and their social drivers and impacts, focusing on the COVID-19 pandemic and the infectious disease consequences of climate change.Chapter I presents the first multidecade climate-mortality study of a non-South African sub-Saharan African city, concentrating on enteric infectious diseases in Antananarivo, Madagascar. Utilizing vital registration data and non-parametric models, I reveal an increasing risk of mortality following heavy rainfall events over time. Given the anticipated increase in frequency and severity of such events due to climate change, these findings underscore the vulnerability of Antananarivo to mortality from re-emerging climate-sensitive diseases.In Chapter II, I analyze the impact of COVID-19-related travel restrictions on migration, focusing on migrants from North and West Africa. Employing digital trace data and dynamic linear panel models, I uncover a paradoxical increase in migrants in countries implementing these restrictions. This suggests that a commonly-used set of pandemic-response policies may be ineffective in achieving their intended goals, highlighting the need for effective policies that take the needs of migrants into account.Finally, Chapter III uses mechanistic epidemiological models to address the empirical challenge of disentangling the roles of interventions like social distancing and vaccination from pre-existing social conditions in the production of COVID-19 mortality gradients in Brazil, arising from a lack of counterfactual evidence from a scenario in which no interventions were implemented to control its spread. This is the first study to incorporate novel theoretical frameworks dissecting the pathways contributing to social gradients in emerging infectious disease mortality into mechanistic epidemiological models, and the first to model the socio-economic drivers of COVID mortality inequalities in Brazil on a national scale, with geospatial specificity, while utilizing real-world data-informed parameters. Parameterizing the model using census, survey, death registration, epidemiological surveillance, and digital trace data, I find that pre-existing social inequities were most responsible for producing COVID-19 mortality disparities, which were further exacerbated by unequally implemented interventions. However, the impacts of these pre-existing inequities could have been counteracted by intervention strategies prioritizing the most disadvantaged. These findings offer insights that could inform more equitable responses to future infectious disease epidemics.
■590 ▼aSchool code: 0181.
■650 4▼aDemography
■650 4▼aEpidemiology
■650 4▼aClimate change
■653 ▼aComputational social science
■653 ▼aCOVID-19
■653 ▼aInfectious disease
■653 ▼aMigration and mobility
■653 ▼aMortality
■690 ▼a0938
■690 ▼a0766
■690 ▼a0404
■71020▼aPrinceton University▼bPopulation Studies.
■7730 ▼tDissertations Abstracts International▼g86-04B.
■790 ▼a0181
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161823▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
