{"title":"根据艾滋病毒/艾滋病感染人群中的孕产妇孤儿情况估算成人死亡率。","authors":"Bruno Masquelier, Ian M Timæus","doi":"10.1080/00324728.2024.2416185","DOIUrl":null,"url":null,"abstract":"<p><p>In countries without adequate death registration systems, adult mortality is often estimated using orphanhood-based methods. The HIV pandemic breaches several assumptions of these methods, for example, by increasing the correlation between maternal and child survival. Using microsimulations we generated 1,152 populations facing HIV epidemics and evaluated different orphanhood-based estimates against the underlying mortality rates. We regressed survivorship probabilities on proportions of respondents with surviving mothers, adjusting for trends in seroprevalence and coverage of antiretroviral therapy, to obtain new coefficients. We tested the different methods on survey and census data from 16 African countries with high HIV prevalence. We found that the original orphanhood method underestimates mortality during an AIDS epidemic, but better estimates can be obtained using new coefficients applied to synthetic measures of maternal survival. The resulting estimates agree well with those of the United Nations Population Division. Orphanhood-based estimates can fill data gaps in adult mortality, including in countries with high HIV prevalence.</p>","PeriodicalId":47814,"journal":{"name":"Population Studies-A Journal of Demography","volume":" ","pages":"1-21"},"PeriodicalIF":2.5000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimating adult mortality based on maternal orphanhood in populations with HIV/AIDS.\",\"authors\":\"Bruno Masquelier, Ian M Timæus\",\"doi\":\"10.1080/00324728.2024.2416185\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In countries without adequate death registration systems, adult mortality is often estimated using orphanhood-based methods. The HIV pandemic breaches several assumptions of these methods, for example, by increasing the correlation between maternal and child survival. Using microsimulations we generated 1,152 populations facing HIV epidemics and evaluated different orphanhood-based estimates against the underlying mortality rates. We regressed survivorship probabilities on proportions of respondents with surviving mothers, adjusting for trends in seroprevalence and coverage of antiretroviral therapy, to obtain new coefficients. We tested the different methods on survey and census data from 16 African countries with high HIV prevalence. We found that the original orphanhood method underestimates mortality during an AIDS epidemic, but better estimates can be obtained using new coefficients applied to synthetic measures of maternal survival. The resulting estimates agree well with those of the United Nations Population Division. Orphanhood-based estimates can fill data gaps in adult mortality, including in countries with high HIV prevalence.</p>\",\"PeriodicalId\":47814,\"journal\":{\"name\":\"Population Studies-A Journal of Demography\",\"volume\":\" \",\"pages\":\"1-21\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-11-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Population Studies-A Journal of Demography\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/00324728.2024.2416185\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Population Studies-A Journal of Demography","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/00324728.2024.2416185","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Estimating adult mortality based on maternal orphanhood in populations with HIV/AIDS.
In countries without adequate death registration systems, adult mortality is often estimated using orphanhood-based methods. The HIV pandemic breaches several assumptions of these methods, for example, by increasing the correlation between maternal and child survival. Using microsimulations we generated 1,152 populations facing HIV epidemics and evaluated different orphanhood-based estimates against the underlying mortality rates. We regressed survivorship probabilities on proportions of respondents with surviving mothers, adjusting for trends in seroprevalence and coverage of antiretroviral therapy, to obtain new coefficients. We tested the different methods on survey and census data from 16 African countries with high HIV prevalence. We found that the original orphanhood method underestimates mortality during an AIDS epidemic, but better estimates can be obtained using new coefficients applied to synthetic measures of maternal survival. The resulting estimates agree well with those of the United Nations Population Division. Orphanhood-based estimates can fill data gaps in adult mortality, including in countries with high HIV prevalence.
期刊介绍:
For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.