Evidence map›Paper›PMID 39911642›Full record

ArticleEthiopian journal of health sciences2024

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

Semira Abdelmenan, Hanna Yemane Berhane, Sitota Tsegaye, Nebiyou Fasil, Dagmawit Tewahido, Tigest Shifraw, Firehiwot Workneh, Walelegn Worku, Yoseph Yemane Berhane, Dongqing Wang and 5 more

Abstract read
In one paragraph

Article in Ethiopian journal of health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Semira AbdelmenanDepartment of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.
Hanna Yemane BerhaneDepartment of Nutrition and Behavioral Science, Addis Continental Institute of Public Health.
Sitota TsegayeDepartment of Nutrition and Behavioral Science, Addis Continental Institute of Public Health.
Nebiyou FasilDepartment of Global Health and Health Policy, Addis Continental Institute of Public Health.
Dagmawit TewahidoDepartment of Nutrition and Behavioral Science, Addis Continental Institute of Public Health.
Tigest ShifrawDepartment of Reproductive Health and Population, Addis Continental Institute of Public Health.
Firehiwot WorknehDepartment of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.
Walelegn WorkuDepartment of Global Health and Health Policy, Addis Continental Institute of Public Health.
Yoseph Yemane BerhaneDepartment of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.
Dongqing WangDepartment of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, United States of America.
Uttara PartapDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Wafaie FawziDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.
Meaza DemissieDepartment of Global Health and Health Policy, Addis Continental Institute of Public Health.
Alemayehu WorkuDepartment of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.
Yemane BerhaneDepartment of Epidemiology and Biostatistics, Addis Continental Institute of Public Health.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DemographyPopulation SurveillanceUrban PopulationAdolescentAdultCensusesEthiopiaFamily CharacteristicsFemaleHumansMaleMiddle AgedSocioeconomic FactorsYoung AdultAddis AbabaAddis-HDSSEthiopiaHealth and Demographic Surveillance System

Identifiers

PMID39911642
PMCPMC11793122

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.