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健康与人口监测系统:应对尼日利亚新冠疫情的一种潜在工具,可用于解决与疫情监测及社会保护计划相关的挑战。

Health and Demographic Surveillance System: A Potential Tool for Solving Challenges Associated with Epidemic Surveillance and Social Protection Scheme for COVID-19 Pandemic Response in Nigeria.

作者信息

Alabi Olatunji, Omoleke Semeeh A, Abdulwahab Ahmad

机构信息

Federal University Birnin-Kebbi, Kebbi State, Nigeria.

Support to National Malaria Programme (SuNMaP2), Malaria Consortium, Abuja, Nigeria.

出版信息

J Prim Care Community Health. 2021 Jan-Dec;12:21501327211000250. doi: 10.1177/21501327211000250.

Abstract

Nigeria recorded her first case of COVID 19 in Lagos State on 27th February 2019, and the number of confirmed cases of COVID 19 has risen to 59 287, with 1113 deaths as of 4th October 2020. The commentary highlighted the importance of a health and demographic surveillance system (HDSS) and its potential in addressing surveillance gap, and the inadequacy of existing sociodemographic database used for palliative administration. The authors examined the HDSS in the context of the COVID-19 pandemic response and learning from the Nahuche model. The Nahuche HDSS model has the potential of identifying poor households as it collects standard data on the socio-economic status of each of the households within the demographic surveillance area (DSA). Standard questionnaire in assessing the household socio-economic status adapted from standard surveys, such as Nigeria Health and Demographic Survey and Malaria Indicator Survey, was administered on the household heads of each household every 2 years to monitor socio-economic advancement of the households. Data on variables such as household possessions, including animals and livestock, were collected and analyzed using factor analysis to group the households into different wealth indices. HDSS provides an opportunity to ameliorate the challenges associated with halting the spread of the virus in the areas of surveillance and administration of palliatives in Nigeria, where there is a paucity of reliable demographic and household-level socio-economic data. This paper calls for the setting up of a functioning HDSS in each region of Nigeria to address the dearth of reliable data for planning health and socio-economic interventions.

摘要

2020年2月27日,尼日利亚在拉各斯州记录了首例新冠肺炎病例。截至2020年10月4日,新冠肺炎确诊病例数已升至59287例,死亡1113例。该评论强调了卫生和人口监测系统(HDSS)的重要性及其在解决监测差距方面的潜力,以及用于姑息治疗管理的现有社会人口数据库的不足。作者在应对新冠肺炎疫情的背景下审视了HDSS,并借鉴了纳胡切模型。纳胡切HDSS模型有潜力识别贫困家庭,因为它收集了人口监测区域(DSA)内每个家庭社会经济状况的标准数据。每两年对每个家庭的户主进行一次根据尼日利亚卫生和人口调查以及疟疾指标调查等标准调查改编的评估家庭社会经济状况的标准问卷,以监测家庭的社会经济进步。收集了关于家庭财产(包括动物和牲畜)等变量的数据,并使用因子分析进行分析,以将家庭分组为不同的财富指数。HDSS提供了一个机会,来缓解在尼日利亚监测和管理姑息治疗领域中与阻止病毒传播相关的挑战,因为该国缺乏可靠的人口和家庭层面的社会经济数据。本文呼吁在尼日利亚各地区建立一个运转良好的HDSS,以解决规划卫生和社会经济干预措施时可靠数据匮乏的问题。

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