Health and demographic surveillance systems in low- and middle-income countries

• Verfasst von: Herbst, Abraham Jacobus [VerfasserIn]
• Verfasst von: Juvekar, Sanjay [VerfasserIn]
• Verfasst von: Jasseh, Momodou [VerfasserIn]
• Verfasst von: Berhane, Yemane [VerfasserIn]
• Verfasst von: Chuc, Nguyen Thi Kim [VerfasserIn]
• Verfasst von: Seeley, Janet [VerfasserIn]
• Verfasst von: Sankoh, Osman A. [VerfasserIn]
• Verfasst von: Clark, Samuel J. [VerfasserIn]
• Verfasst von: Collinson, Mark A. [VerfasserIn]
• Titel: Health and demographic surveillance systems in low- and middle-income countries
• Titelzusatz: history, state of the art and future prospects
• Gefeierte Person: Byass, Peter [GefeierteR]
• Verf.angabe: Kobus Herbst, Sanjay Juvekar, Momodou Jasseh, Yemane Berhane, Nguyen Thi Kim Chuc, Janet Seeley, Osman Sankoh, Samuel J. Clark and Mark A. Collinson
• Jahr: 2021
• Umfang: 12 S.
• Fussnoten: Published online: 04 Apr 2022 ; Gesehen am 28.09.2022
• Weitere Titel: Titel des Supplements 1: Special Issue in Memory of Peter Byass
• Titel Quelle: Enthalten in: Global health action
• Ort Quelle: Abingdon : Taylor & Francis Group, 2008
• Jahr Quelle: 2021
• Band/Heft Quelle: 14(2021), Sup 1, Artikel-ID 1974676, Seite 1-12
• ISSN Quelle: 1654-9880
• DOI: doi:10.1080/16549716.2021.1974676
• Datenträger: Online-Ressource
• Dokumenttyp: Festschrift
• Sprache: eng
• Sach-SW: Demography
• Sach-SW: HDSS
• Sach-SW: Longitudinal Population Studies
• K10plus-PPN: 1817717359

Abstract

Health and Demographic Surveillance Systems (HDSS) have been developed in several low- and middle-income countries (LMICs) in Africa and Asia. This paper reviews their history, state of the art and future potential and highlights substantial areas of contribution by the late Professor Peter Byass.Historically, HDSS appeared in the second half of the twentieth century, responding to a dearth of accurate population data in poorly resourced settings to contextualise the study of interventions to improve health and well-being. The progress of the development of this network is described starting with Pholela, and progressing through Gwembe, Balabgarh, Niakhar, Matlab, Navrongo, Agincourt, Farafenni, and Butajira, and the emergence of the INDEPTH Network in the early 1990’sThe paper describes the HDSS methodology, data, strengths, and limitations. The strengths are particularly their temporal coverage, detail, dense linkage, and the fact that they exist in chronically under-documented populations in LMICs where HDSS sites operate. The main limitations are generalisability to a national population and a potential Hawthorne effect, whereby the project itself may have changed characteristics of the population.The future will include advances in HDSS data harmonisation, accessibility, and protection. Key applications of the data are to validate and assess bias in other datasets. A strong collaboration between a national HDSS network and the national statistics office is modelled in South Africa and Sierra Leone, and it is possible that other low- to middle-income countries will see the benefit and take this approach.