five

S1 Raw data -

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://figshare.com/articles/dataset/S1_Raw_data_-/23711948
下载链接
链接失效反馈
官方服务:
资源简介:
Background Assessing the burden and describing the status of people with disabilities is very essential. The previous studies conducted about the prevalence, causes, and types of disability in Ethiopia were inconsistent and disagreeable. Objectives To determine the prevalence, causes, and types of disabilities in Sidama National Regional State, Ethiopia. Methods A house-to-house census was carried out on a total of 39,842 households in 30 randomly selected kebeles of the Dale and Wonsho districts and Yirgalem city administration, Sidama National Regional State. The data were collected using structured and pretested questionnaires via the Kobo Collect application from May 01 to 30, 2022. The analysis was performed by STATA version 16 software. After cleaning and organizing, descriptive statistics were employed to characterize the study findings. Results In this study, people with disabilities aged one to 80 years old were included. The mean Standard Deviation (SD) age of people with disabilities in years was 31.95 (15.33). Of 228,814 people, 1,694 were people with disabilities in Dale and Wonsho districts and Yirgalem city administration, with a prevalence of 0.74% (95% CI: 0.72, 0.76). Of the causes of disability, 61% of the disabilities were due to illness, injury, and accidents. Extremity paralysis (35.4%), vision disability (20.13%), hearing disability (19.7%), walking disability (14.7%), and cognitive disabilities (7.7%) were the identified types of disabilities. Conclusion This study revealed that the burden of disability is considerable in Dale and Wonsho districts and Yirgalem city administration. The vast majority of disability causes could have been avoidable. As a result, developing and implementing various strategies to raise community awareness about the causes and preventive measures is critical.
创建时间:
2023-07-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作