DSI-MRC South African Population Infrastructure Network, Durban, South Africa.
Population Science, Africa Health Research Institute, Durban, KwaZulu-Natal, South Africa.
Glob Health Action. 2021 Oct 26;14(sup1):1974676. doi: 10.1080/16549716.2021.1974676.
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.
健康与人口监测系统(HDSS)已在非洲和亚洲的一些低收入和中等收入国家(LMICs)开发。本文回顾了它们的历史、现状和未来潜力,并强调了已故教授 Peter Byass 的重要贡献领域。
历史上,HDSS 出现在 20 世纪下半叶,旨在应对资源匮乏环境中缺乏准确人口数据的问题,以便为改善健康和福祉的干预措施研究提供背景。本文从 Pholela 开始,描述了该网络发展的进展情况,随后是 Gwembe、Balabgarh、Niakhar、Matlab、Navrongo、Agincourt、Farafenni 和 Butajira,以及 20 世纪 90 年代初 INDEPTH 网络的出现。
本文描述了 HDSS 的方法、数据、优势和局限性。其优势在于其时间覆盖范围、详细程度、密集的链接,以及它们在 LMIC 中慢性记录不足的人群中存在的事实。主要限制因素是对全国人口的推广和潜在的霍桑效应,即项目本身可能改变了人口的特征。
未来将包括 HDSS 数据协调、可访问性和保护方面的进展。该数据的关键应用是验证和评估其他数据集的偏差。南非和塞拉利昂建立了国家 HDSS 网络与国家统计局之间的强大合作模式,其他中低收入国家也可能从中受益并采取这种方法。