{"created":"2023-10-27T06:01:16.245386+00:00","id":9066,"links":{},"metadata":{"_buckets":{"deposit":"61e9fb9c-5815-4ec3-8ee8-e7707ee63b87"},"_deposit":{"created_by":20,"id":"9066","owner":"20","owners":[20],"owners_ext":{"displayname":"","email":"minmoe37aung@gmail.com","username":""},"pid":{"revision_id":0,"type":"depid","value":"9066"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00009066","sets":["1582963436320","1582963436320:1582965742757"]},"author_link":[],"control_number":"9066","item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Analysis of Under-Five Mortality of Myanmar Using Zero-Inflated Regression Models (Hla Hla Aye, 2023)","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Despite the reduction in the global under-five child mortality rate, there has\nbeen a considerable rate in the death of many children before their fifth birthday in\nMyanmar. Therefore, the causes of under-five mortality need to be investigated\nbecause it is a critical issue for the development of a country like Myanmar. This\nstudy attempted to analyze under-five mortality in Myanmar with an application of\nthe various zero-inflated regression models. A sample of 3670 mothers with children\naged 0-59 months was collected from the 2015-2016 Myanmar Demographic and\nHealth Survey (MDHS) for the data analysis. As a result, the zero-inflated Poisson\nregression model was the most appropriate model among a variety of zero-inflated\nregression models to represent the under-five mortality in Myanmar. The results\nrevealed that mothers’ education, household size, childbirth order, and type of fuel for\ncooking significantly affected the under-five mortality in Myanmar. Among those,\nchildbirth order and mother’s education level were the most significant effects on\nunder-five mortality. Therefore, concerned efforts should be made to improve mother's\naccess to education and birth control. The simulation analysis also found that the zeroinflated\nPoisson model appeared to be unbiased because the average value of the\nestimate for each parameter was close to the respective estimated coefficient from the\nzero-inflated Poisson model. Hence, the Myanmar government should plan the\nrespective programs and promote the infrastructures, health care services, well-being,\nand survival of a new generation of Myanmar children."}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-10-27"}],"displaytype":"preview","filename":"Hla Hla Aye, 4 Paragu Ah-5.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/9066/files/Hla Hla Aye, 4 Paragu Ah-5.pdf"},"version_id":"b9919b0c-22b8-4b26-88c9-717bfc86b361"}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"Yangon University of Economics","subitem_supervisor(s)":[{"subitem_supervisor":"Pro-Rector.Dr. Mya Thandar"}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Hla Hla Aye"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Other"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Dissertation"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2023-09-01"},"item_title":"Analysis of Under-Five Mortality of Myanmar Using Zero-Inflated Regression Models (Hla Hla Aye, 2023)","item_type_id":"21","owner":"20","path":["1582963436320","1582965742757"],"publish_date":"2023-10-27","publish_status":"0","recid":"9066","relation_version_is_last":true,"title":["Analysis of Under-Five Mortality of Myanmar Using Zero-Inflated Regression Models (Hla Hla Aye, 2023)"],"weko_creator_id":"20","weko_shared_id":-1},"updated":"2024-05-27T03:54:56.348126+00:00"}