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亚的斯亚贝巴健康与人口监测系统(Addis-HDSS):背景与方法

The Addis Health and Demographic Surveillance System (Addis-HDSS): Context and Methods.

作者信息

Abdelmenan Semira, Berhane Hanna Yemane, Tsegaye Sitota, Fasil Nebiyou, Tewahido Dagmawit, Shifraw Tigest, Workneh Firehiwot, Worku Walelegn, Berhane Yoseph Yemane, Wang Dongqing, Partap Uttara, Fawzi Wafaie, Demissie Meaza, Worku Alemayehu, Berhane Yemane

机构信息

Department of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.

Department of Nutrition and Behavioral Science, Addis Continental Institute of Public Health.

出版信息

Ethiop J Health Sci. 2024 Dec;34(Spec Iss 2):75-83. doi: 10.4314/ejhs.v34i2.2S.

DOI:10.4314/ejhs.v34i2.2S
PMID:39911642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11793122/
Abstract

BACKGROUND

Accurate population-based data is essential for evidence-based public health decision-making. Monitoring health events and evaluating interventions through a population-based platform enables timely decisions in rapidly growing urban areas. Such platforms are rare in African countries. This paper outlines the procedures for establishing the Addis Health and Demographic Surveillance System (Addis-HDSS).

METHODS

The Addis-HDSS, located in Yeka sub-city of Addis Ababa, Ethiopia, conducted its first census from December 3, 2022, to January 18, 2023. Each enumeration area was identified and mapped digitally. All households in the study area were visited and geocoded. The baseline census gathered data on sociodemographic status, housing conditions, economic status, and selected health-related factors.

RESULTS

A total of 30,533 households and a population of 107,494 were recorded. The response rate was 99.1%, reflecting high community engagement The average household size was 3.5, and the sex ratio was 81 males to 100 females. The population structure resembled a typical low-income country profile.

CONCLUSION

Establishing an urban HDSS was feasible with reasonable effort due to the presence of a digital map and the willingness of the urban population. This surveillance system will be an asset to generate reliable urban health and demographic information by providing an unbiased sampling frame for health-related studies. The HDSS will also be used to test the effectiveness of population-based public health interventions.

摘要

背景

基于准确的人群数据对于循证公共卫生决策至关重要。通过基于人群的平台监测健康事件并评估干预措施,能够在快速发展的城市地区及时做出决策。此类平台在非洲国家较为罕见。本文概述了建立亚的斯亚贝巴健康与人口监测系统(Addis-HDSS)的程序。

方法

Addis-HDSS位于埃塞俄比亚亚的斯亚贝巴的耶卡区,于2022年12月3日至2023年1月18日进行了首次人口普查。每个普查区域都进行了识别并数字化绘图。研究区域内的所有家庭都接受了走访并进行了地理编码。基线人口普查收集了社会人口状况、住房条件、经济状况以及选定的健康相关因素的数据。

结果

共记录了30533户家庭,人口为107494人。应答率为99.1%,反映出社区参与度很高。平均家庭规模为3.5人,性别比为81名男性比100名女性。人口结构类似于典型的低收入国家概况。

结论

由于存在数字地图以及城市人口的意愿,通过合理努力建立城市HDSS是可行的。该监测系统将成为一项资产,通过为健康相关研究提供无偏抽样框架来生成可靠的城市健康和人口信息。HDSS还将用于测试基于人群的公共卫生干预措施的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/ec678a2ffd39/EJHS34S2-0075Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/d41ca1a46614/EJHS34S2-0075Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/aaecc0ab7ecc/EJHS34S2-0075Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/ec678a2ffd39/EJHS34S2-0075Fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/d41ca1a46614/EJHS34S2-0075Fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/aaecc0ab7ecc/EJHS34S2-0075Fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2986/11793122/ec678a2ffd39/EJHS34S2-0075Fig3.jpg

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