Mthobisi Mxolisi Zondi, Henry G Mwambi, Sileshi Fanta Melesse
{"title":"利用人口和健康调查数据对莱索托五岁以下儿童死亡率进行时空建模","authors":"Mthobisi Mxolisi Zondi, Henry G Mwambi, Sileshi Fanta Melesse","doi":"10.4314/ahs.v23i3.21","DOIUrl":null,"url":null,"abstract":"Background: Lesotho is in the Sustainable Development Goal (SDG) region which aims to reduce the under-five mortality (U5M) to the average of 25 deaths per 1000 live births by the end of 2030 under the sustainable development goals (SDGs) initiative by the United Nations
 Methodology: This paper makes use of the Lesotho Demographic and Health Survey (LDHS dataset, which focuses on female reproductive ages 15-49 and male reproductive ages 15-54 The spatio-temporal models were used in this study to investigate how the proposed covariates change over time.
 Results: The results showed that children who were breastfed had a lower odd of death compared to children who were not breastfed, children from more educated mothers had significantly lower odds of U5M compared to those from less educated mothers. Having a larger number of children under the age of five also contributed significantly to an increased risk of U5M. The likelihood of U5M increased with age.
 Conclusion: The study recommends that mothers of under-five children be educated about breastfeeding and encouraged to use contraception in order to postpone birth and reduce parity. Rural development should be prioritized through improved primary health care; and public health services should be made more accessible to rural residents.
 Keywords: Spatio-temporal modelling; under-five mortality; Integrated Laplace nested approximation; Lesotho demographic and health survey data.","PeriodicalId":7853,"journal":{"name":"African Health Sciences","volume":"15 1","pages":"0"},"PeriodicalIF":0.8000,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatio-temporal modelling of under-five mortality in Lesotho using demographic and health survey data\",\"authors\":\"Mthobisi Mxolisi Zondi, Henry G Mwambi, Sileshi Fanta Melesse\",\"doi\":\"10.4314/ahs.v23i3.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Lesotho is in the Sustainable Development Goal (SDG) region which aims to reduce the under-five mortality (U5M) to the average of 25 deaths per 1000 live births by the end of 2030 under the sustainable development goals (SDGs) initiative by the United Nations
 Methodology: This paper makes use of the Lesotho Demographic and Health Survey (LDHS dataset, which focuses on female reproductive ages 15-49 and male reproductive ages 15-54 The spatio-temporal models were used in this study to investigate how the proposed covariates change over time.
 Results: The results showed that children who were breastfed had a lower odd of death compared to children who were not breastfed, children from more educated mothers had significantly lower odds of U5M compared to those from less educated mothers. Having a larger number of children under the age of five also contributed significantly to an increased risk of U5M. The likelihood of U5M increased with age.
 Conclusion: The study recommends that mothers of under-five children be educated about breastfeeding and encouraged to use contraception in order to postpone birth and reduce parity. Rural development should be prioritized through improved primary health care; and public health services should be made more accessible to rural residents.
 Keywords: Spatio-temporal modelling; under-five mortality; Integrated Laplace nested approximation; Lesotho demographic and health survey data.\",\"PeriodicalId\":7853,\"journal\":{\"name\":\"African Health Sciences\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2023-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"African Health Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4314/ahs.v23i3.21\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Health Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/ahs.v23i3.21","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Spatio-temporal modelling of under-five mortality in Lesotho using demographic and health survey data
Background: Lesotho is in the Sustainable Development Goal (SDG) region which aims to reduce the under-five mortality (U5M) to the average of 25 deaths per 1000 live births by the end of 2030 under the sustainable development goals (SDGs) initiative by the United Nations
Methodology: This paper makes use of the Lesotho Demographic and Health Survey (LDHS dataset, which focuses on female reproductive ages 15-49 and male reproductive ages 15-54 The spatio-temporal models were used in this study to investigate how the proposed covariates change over time.
Results: The results showed that children who were breastfed had a lower odd of death compared to children who were not breastfed, children from more educated mothers had significantly lower odds of U5M compared to those from less educated mothers. Having a larger number of children under the age of five also contributed significantly to an increased risk of U5M. The likelihood of U5M increased with age.
Conclusion: The study recommends that mothers of under-five children be educated about breastfeeding and encouraged to use contraception in order to postpone birth and reduce parity. Rural development should be prioritized through improved primary health care; and public health services should be made more accessible to rural residents.
Keywords: Spatio-temporal modelling; under-five mortality; Integrated Laplace nested approximation; Lesotho demographic and health survey data.
期刊介绍:
The African Health Sciences is an internationally refereed journal publishing original articles on research, clinical practice, public health, policy, planning, implementation and evaluation, in the health and related sciences relevant to Africa and the tropics. Its objectives are to: Advocate for and promote the growth of reading culture in sub Saharan Africa; Provide a high quality journal in which health and policy and other researchers and practitioners in the region can and world wide, can publish their work; Promote relevant health system research and publication in the region including alternative means of health care financing, the burden of and solution of health problems in marginalized urban and rural communities amongst the displaced and others affected by conflict; Promote research and the systematic collection and collation and publication of data on diseases and conditions of equity and influence; Promote development of evidence-based policies and guidelines for clinical, public health and other practitioners. African Health Sciences acknowledges support provided by the African Health Journals Partnership Project that is funded by the US National Institutes of Health (through the National Library of Medicine and the Fogarty International Center) and facilitated by the Council of Science Editors.