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2015年1月,在塞拉利昂通科利利区,通过动员拥有自有智能手机的当地社区来改善埃博拉应对工作中的地图绘制。

Improving mapping for Ebola response through mobilising a local community with self-owned smartphones: Tonkolili District, Sierra Leone, January 2015.

作者信息

Nic Lochlainn Laura M, Gayton Ivan, Theocharopoulos Georgios, Edwards Robin, Danis Kostas, Kremer Ronald, Kleijer Karline, Tejan Sumaila M, Sankoh Mohamed, Jimissa Augustin, Greig Jane, Caleo Grazia

机构信息

European Programme for Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden.

National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.

出版信息

PLoS One. 2018 Jan 3;13(1):e0189959. doi: 10.1371/journal.pone.0189959. eCollection 2018.

Abstract

BACKGROUND

During the 2014-16 Ebola virus disease (EVD) outbreak, the Magburaka Ebola Management Centre (EMC) operated by Médecins Sans Frontières (MSF) in Tonkolili District, Sierra Leone, identified that available district maps lacked up-to-date village information to facilitate timely implementation of EVD control strategies. In January 2015, we undertook a survey in chiefdoms within the MSF EMC catchment area to collect mapping and village data. We explore the feasibility and cost to mobilise a local community for this survey, describe validation against existing mapping sources and use of the data to prioritise areas for interventions, and lessons learned.

METHODS

We recruited local people with self-owned Android smartphones installed with open-source survey software (OpenDataKit (ODK)) and open-source navigation software (OpenStreetMap Automated Navigation Directions (OsmAnd)). Surveyors were paired with local motorbike drivers to travel to eligible villages. The collected mapping data were validated by checking for duplication and comparing the village names against a pre-existing village name and location list using a geographic distance and text string-matching algorithm.

RESULTS

The survey teams gained sufficient familiarity with the ODK and OsmAnd software within 1-2 hours. Nine chiefdoms in Tonkolili District and three in Bombali District were surveyed within two weeks. Following de-duplication, the surveyors collected data from 891 villages with an estimated 127,021 households. The overall survey cost was €3,395; €3.80 per village surveyed. The MSF GIS team (MSF-OCG) created improved maps for the MSF Magburaka EMC team which were used to support surveillance, investigation of suspect EVD cases, hygiene-kit distribution and EVD survivor support. We shared the mapping data with OpenStreetMap, the local Ministry of Health and Sanitation and Sierra Leone District and National Ebola Response Centres.

CONCLUSIONS

Involving local community and using accessible technology allowed rapid implementation, at moderate cost, of a survey to collect geographic and essential village information, and creation of updated maps. These methods could be used for future emergencies to facilitate response.

摘要

背景

在2014 - 2016年埃博拉病毒病(EVD)疫情期间,无国界医生组织(MSF)在塞拉利昂通科利利区运营的马格布拉卡埃博拉管理中心(EMC)发现,现有的地区地图缺乏最新的村庄信息,不利于及时实施埃博拉病毒病防控策略。2015年1月,我们在无国界医生组织埃博拉管理中心的服务范围内对酋长领地进行了一项调查,以收集地图绘制和村庄数据。我们探讨了动员当地社区参与此次调查的可行性和成本,描述了与现有地图来源进行验证以及利用这些数据确定干预重点区域的情况,以及所吸取的经验教训。

方法

我们招募了当地拥有安装了开源调查软件(OpenDataKit(ODK))和开源导航软件(OpenStreetMap Automated Navigation Directions(OsmAnd))的自有安卓智能手机的人员。测量员与当地摩托车司机配对前往符合条件的村庄。通过检查重复情况,并使用地理距离和文本字符串匹配算法将村庄名称与预先存在的村庄名称和位置列表进行比较,对收集到的地图数据进行验证。

结果

调查团队在1 - 2小时内就对ODK和OsmAnd软件有了足够的熟悉程度。两周内对通科利利区的9个酋长领地和邦巴利区的3个酋长领地进行了调查。经过去重后,测量员从891个村庄收集了数据,估计有127,021户家庭。调查总成本为3395欧元;每个被调查村庄3.80欧元。无国界医生组织地理信息系统团队(MSF - OCG)为无国界医生组织马格布拉卡埃博拉管理中心团队制作了改进后的地图,这些地图被用于支持监测、对疑似埃博拉病毒病病例的调查、卫生用品分发以及对埃博拉病毒病幸存者的支持。我们将地图数据与OpenStreetMap、当地卫生和环境部以及塞拉利昂地区和国家埃博拉应对中心进行了共享。

结论

让当地社区参与并使用易于获取的技术,能够以适度的成本迅速开展一项调查,以收集地理和基本的村庄信息,并制作更新后的地图。这些方法可用于未来的紧急情况以促进应对工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3980/5752033/935677f4b8b8/pone.0189959.g001.jpg

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