{"title":"邻里关系重要吗?对撒哈拉以南非洲国家艾滋病毒感染率的分析。","authors":"Anna Maria Parroco, Micaela Arcaio, Daria Mendola","doi":"10.1080/19485565.2024.2384995","DOIUrl":null,"url":null,"abstract":"<p><p>Over two-thirds of the population living with HIV were concentrated in Eastern, Southern, Western, and Central Africa in 2021. This paper employs data from the Demographic and Health Survey to assess the relationship between HIV prevalence and its socio-economic and demographic drivers at the neighborhood (macro-cluster) level. Additionally, the study examines the existence of differences in such relationships among countries. The results of the fractional logistic regression models highlight that highly educated neighborhoods are less likely to be affected by HIV. A greater average number of children, potentially due to programs that promote access to preventive antenatal care and prevention, is associated with a lower likelihood of residents living with HIV. Notably, HIV testing coverage is prevalent in neighborhoods with a high prevalence of HIV. It is also evident that there are notable differences between countries, which demonstrate national context plays a crucial role in the association between education, number of children, testing coverage, and HIV prevalences.</p>","PeriodicalId":45428,"journal":{"name":"Biodemography and Social Biology","volume":" ","pages":"149-162"},"PeriodicalIF":0.9000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does neighborhood matter? An analysis of HIV prevalence in Sub-Saharan African countries.\",\"authors\":\"Anna Maria Parroco, Micaela Arcaio, Daria Mendola\",\"doi\":\"10.1080/19485565.2024.2384995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Over two-thirds of the population living with HIV were concentrated in Eastern, Southern, Western, and Central Africa in 2021. This paper employs data from the Demographic and Health Survey to assess the relationship between HIV prevalence and its socio-economic and demographic drivers at the neighborhood (macro-cluster) level. Additionally, the study examines the existence of differences in such relationships among countries. The results of the fractional logistic regression models highlight that highly educated neighborhoods are less likely to be affected by HIV. A greater average number of children, potentially due to programs that promote access to preventive antenatal care and prevention, is associated with a lower likelihood of residents living with HIV. Notably, HIV testing coverage is prevalent in neighborhoods with a high prevalence of HIV. It is also evident that there are notable differences between countries, which demonstrate national context plays a crucial role in the association between education, number of children, testing coverage, and HIV prevalences.</p>\",\"PeriodicalId\":45428,\"journal\":{\"name\":\"Biodemography and Social Biology\",\"volume\":\" \",\"pages\":\"149-162\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biodemography and Social Biology\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/19485565.2024.2384995\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/29 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodemography and Social Biology","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/19485565.2024.2384995","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
Does neighborhood matter? An analysis of HIV prevalence in Sub-Saharan African countries.
Over two-thirds of the population living with HIV were concentrated in Eastern, Southern, Western, and Central Africa in 2021. This paper employs data from the Demographic and Health Survey to assess the relationship between HIV prevalence and its socio-economic and demographic drivers at the neighborhood (macro-cluster) level. Additionally, the study examines the existence of differences in such relationships among countries. The results of the fractional logistic regression models highlight that highly educated neighborhoods are less likely to be affected by HIV. A greater average number of children, potentially due to programs that promote access to preventive antenatal care and prevention, is associated with a lower likelihood of residents living with HIV. Notably, HIV testing coverage is prevalent in neighborhoods with a high prevalence of HIV. It is also evident that there are notable differences between countries, which demonstrate national context plays a crucial role in the association between education, number of children, testing coverage, and HIV prevalences.
期刊介绍:
Biodemography and Social Biology is the official journal of The Society for the Study of Social Biology, devoted to furthering the discussion, advancement, and dissemination of knowledge about biological and sociocultural forces affecting the structure and composition of human populations. This interdisciplinary publication features contributions from scholars in the fields of sociology, demography, psychology, anthropology, biology, genetics, criminal justice, and others. Original manuscripts that further knowledge in the area of social biology are welcome, along with brief reports, review articles, and book reviews.