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Mortality Crises as Experienced by Their Survivors: Computational Approaches to the Study of Bereavement- [electronic resource]
Mortality Crises as Experienced by Their Survivors: Computational Approaches to the Study of Bereavement- [electronic resource]
상세정보
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20240214100437
- ISBN
- 9798380382588
- DDC
- 312
- 서명/저자
- Mortality Crises as Experienced by Their Survivors: Computational Approaches to the Study of Bereavement - [electronic resource]
- 발행사항
- [S.l.]: : University of California, Berkeley., 2023
- 발행사항
- Ann Arbor : : ProQuest Dissertations & Theses,, 2023
- 형태사항
- 1 online resource(113 p.)
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
- 주기사항
- Advisor: Wachter, Kenneth;Goldstein, Joshua.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2023.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 초록/해제
- 요약Although the study of mortality is central to demography, comparatively little is known about its lived experience: how population-level mortality translates to individual experiences of loss within families and communities. Given the significance of bereavement for the health and socioeconomic outcomes of survivors, better understanding the impacts of mortality crises on family networks is crucial for predicting their longer-term consequences. The data required to study kin loss, however, is seldom available, leading many demographers to rely on computational approaches such as microsimulation to estimate the impact of these events.This dissertation presents microsimulation-based approaches to examining the impact of a mortality crisis, in this case COVID-19, on kin networks in the short and long term. The first study presents estimates of monthly excess kin loss by age and type of kin relation in 31 countries during the period of March 2020 to June 2021. These estimates demonstrate a generational pattern of kin loss reflecting COVID-19 age-specific excess mortality risk, and highlight the significant effect of excess mortality on family bereavement. The second study extends this estimation approach to 120 countries over the 2020-2021 period, documenting high rates of excess kin loss in many low-and-middle-income countries higher than or comparable to those observed in high-income countries. It also considers the extent to which differences in country estimates were shaped by both excess mortality and pre-existing kinship structure. The third study projects how "kinship memory'', the estimated share of national populations related to victims of COVID-19 excess mortality, may change over the next century in 120 countries around the world, and considers what this may mean for how this crisis is remembered in the future. These three studies combined highlight the significant burden of COVID-19 excess mortality in terms of bereavement experienced by surviving family members, and demonstrate the importance of computational approaches in helping better understand the experiences of populations for which limited data exists.
- 일반주제명
- Demography.
- 일반주제명
- Public health.
- 키워드
- Mortality crises
- 키워드
- Survivors
- 기타저자
- University of California, Berkeley Demography
- 기본자료저록
- Dissertations Abstracts International. 85-03B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■00520240214100437
■006m o d
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■020 ▼a9798380382588
■035 ▼a(MiAaPQ)AAI30490842
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a312
■1001 ▼aSnyder, Mallika Amruta.
■24510▼aMortality Crises as Experienced by Their Survivors: Computational Approaches to the Study of Bereavement▼h[electronic resource]
■260 ▼a[S.l.]:▼bUniversity of California, Berkeley. ▼c2023
■260 1▼aAnn Arbor :▼bProQuest Dissertations & Theses, ▼c2023
■300 ▼a1 online resource(113 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-03, Section: B.
■500 ▼aAdvisor: Wachter, Kenneth;Goldstein, Joshua.
■5021 ▼aThesis (Ph.D.)--University of California, Berkeley, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aAlthough the study of mortality is central to demography, comparatively little is known about its lived experience: how population-level mortality translates to individual experiences of loss within families and communities. Given the significance of bereavement for the health and socioeconomic outcomes of survivors, better understanding the impacts of mortality crises on family networks is crucial for predicting their longer-term consequences. The data required to study kin loss, however, is seldom available, leading many demographers to rely on computational approaches such as microsimulation to estimate the impact of these events.This dissertation presents microsimulation-based approaches to examining the impact of a mortality crisis, in this case COVID-19, on kin networks in the short and long term. The first study presents estimates of monthly excess kin loss by age and type of kin relation in 31 countries during the period of March 2020 to June 2021. These estimates demonstrate a generational pattern of kin loss reflecting COVID-19 age-specific excess mortality risk, and highlight the significant effect of excess mortality on family bereavement. The second study extends this estimation approach to 120 countries over the 2020-2021 period, documenting high rates of excess kin loss in many low-and-middle-income countries higher than or comparable to those observed in high-income countries. It also considers the extent to which differences in country estimates were shaped by both excess mortality and pre-existing kinship structure. The third study projects how "kinship memory'', the estimated share of national populations related to victims of COVID-19 excess mortality, may change over the next century in 120 countries around the world, and considers what this may mean for how this crisis is remembered in the future. These three studies combined highlight the significant burden of COVID-19 excess mortality in terms of bereavement experienced by surviving family members, and demonstrate the importance of computational approaches in helping better understand the experiences of populations for which limited data exists.
■590 ▼aSchool code: 0028.
■650 4▼aDemography.
■650 4▼aPublic health.
■650 4▼aIndividual & family studies.
■653 ▼aMortality crises
■653 ▼aSurvivors
■653 ▼aFamily bereavement
■653 ▼aPre-existing kinship structure
■653 ▼aComputational approaches
■690 ▼a0938
■690 ▼a0628
■690 ▼a0573
■71020▼aUniversity of California, Berkeley▼bDemography.
■7730 ▼tDissertations Abstracts International▼g85-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0028
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16932276▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
