Fondation Santé et Développement Durable (FOSAD) & Centre d'Excellence de Formation & Recherche sur le Paludisme et les Maladies prioritaires en Guinée (CEFORPAG), Conakry, Guinée.
Institut National des Statistiques de Guinée (INS), Conakry, Guinée.
J Prim Care Community Health. 2022 Jan-Dec;13:21501319221074470. doi: 10.1177/21501319221074470.
Before the COVID-19 pandemic, Guinea has been the epicenter of the huge West Africa Ebola outbreak (2014-2016), that impact heavily the health system. Demographic information is one of the most basic data sources for health systems and services delivery, and yet can be very difficult to obtain with any accuracy. The objectives were to contribute among other to: (i) a determination of the catchment area (health coverage area and responsibility) of the Kirikilan health facility (PCM); (ii) geocoded mapping to find out exactly where these populations per sector of Kirikilan neighborhood lives; (iii) an approach for regular and systematic annual demographic follow up of target populations.
The study was a 3-year community-based survey with annual follow up of the population within the quartier of Kirikilan in Dubreka Prefecture in Guinea. It was an exhaustive enumeration of the population, sector by sector of the quartier, then there was no sampling size neither estimation.
In October 2017 as a baseline of the study, the enumeration showed the total population was 8824 persons, 936 compounds, 1435 households, and the breakdown by sub quartier (sector) has been performed. It's showed the interest of the mapping of the target populations with geo-referenced localization. The annual follow up by demographic enumerus showed a dramatic increase of the size of the population, including strong migration of the evicted population due to urbanization purpose in some districts of Conakry, the capital.
The study showed the importance of the enumeration and follow up of the target populations, but also of the setting up community data based to improve the district health information system (DHIS 2) in Guinea. The approach has a best practice could be an importunity to improve data sharing, mapping, health quality access, and affordability for a sustainable health toward universal health coverage.
在 COVID-19 大流行之前，几内亚曾是 2014-2016 年西非埃博拉疫情的中心，这对卫生系统造成了沉重打击。人口统计信息是卫生系统和服务提供的最基本数据源之一，但准确性却很难保证。本研究旨在：（i）确定 Kirikilan 卫生设施（PCM）的服务范围（卫生覆盖范围和责任范围）；（ii）进行地理编码映射，以确切了解 Kirikilan 社区各部门的人口分布情况；（iii）提出一种定期和系统地对目标人群进行年度人口统计追踪的方法。
该研究是一项为期 3 年的社区基础调查，对几内亚杜布雷卡省 Kirikilan 社区的人口进行年度跟踪。对每个社区进行了详尽的人口普查，然后没有进行抽样大小或估计。
2017 年 10 月，作为研究的基线，人口普查显示总人口为 8824 人，936 个聚居区，1435 户家庭，然后按分区（部门）进行了细分。这表明了对目标人群进行地理定位映射的兴趣。通过人口普查进行的年度跟踪显示，人口规模急剧增加，包括由于首都科纳克里的一些地区城市化目的而导致的被驱逐人口的大量迁移。
该研究表明了对目标人群进行普查和跟踪的重要性，同时还表明了建立社区数据基础以改善几内亚地区卫生信息系统（DHIS 2）的重要性。该方法是一种最佳实践，可以提高数据共享、映射、卫生质量可及性和可负担性，为实现全民健康覆盖的可持续卫生提供保障。
