Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings.
Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings.
复制标题
DOI：
10.1186/s12942-018-0141-0
复制
发表时间：
2018-06-18
影响因子：
4.9
通讯作者：
Cook J
中科院分区：
文献类型：
--
作者：
Fornace KM;Surendra H;Abidin TR;Reyes R;Macalinao MLM;Stresman G;Luchavez J;Ahmad RA;Supargiyono S;Espino F;Drakeley CJ;Cook J
确定疾病的精细空间格局对于有效控制和消除疾病规划至关重要。在没有正式地址的资源匮乏地区，需要采用新的策略来定位到卫生机构就诊的个人的住所，以便有效地绘制疾病模式。我们的目的是评估基于Android平板电脑的应用程序的使用情况，这些应用程序包含高分辨率地图，用于对单个住宅进行地理定位，同时比较三种用于收集空间信息的软件包的功能、可用性和成本。利用开放数据工具包GeoODK，我们设计并试点了一份电子问卷，用于对卫生机构参访人员进行滚动横断面调查，作为在菲律宾巴拉望省的Rizal和印度尼西亚日惹市的Kulon Progo Regency这两个主要是农村地区开展的消除疟疾运动的一部分。大多数卫生工作者能够有效地使用平板电脑，包括在电子地图上确定参与家庭的位置。对于所有抽样家庭（n = 603），卫生机构工作人员能够使用全球定位系统（GPS）坐标和平板电脑收集的数据回顾性地找到参与家庭。实际房屋位置与平板上收集的点之间的中位数距离在黎萨尔为116米（IQR 42-368），在库隆普罗戈摄政区为493米（IQR 258-886）。准确性因卫生机构而异，在人口较少、地标较少的地区有所下降。结果证明了这种方法在资源贫乏环境中开发实时高分辨率疾病地图的实用性。这种方法提供了一种有吸引力的方法，可快速获取在资源贫乏地区卫生设施就诊的个人的空间信息，这些地区没有正式地址，互联网连接有限。需要进一步研究如何将这些系统与其他卫生数据管理系统结合起来，并在更广泛的业务范围内实施。本文的在线版本（10.1186/s12942-018-0141-0）包含补充资料，可供授权用户使用。
Identifying fine-scale spatial patterns of disease is essential for effective disease control and elimination programmes. In low resource areas without formal addresses, novel strategies are needed to locate residences of individuals attending health facilities in order to efficiently map disease patterns. We aimed to assess the use of Android tablet-based applications containing high resolution maps to geolocate individual residences, whilst comparing the functionality, usability and cost of three software packages designed to collect spatial information. Using Open Data Kit GeoODK, we designed and piloted an electronic questionnaire for rolling cross sectional surveys of health facility attendees as part of a malaria elimination campaign in two predominantly rural sites in the Rizal, Palawan, the Philippines and Kulon Progo Regency, Yogyakarta, Indonesia. The majority of health workers were able to use the tablets effectively, including locating participant households on electronic maps. For all households sampled (n = 603), health facility workers were able to retrospectively find the participant household using the Global Positioning System (GPS) coordinates and data collected by tablet computers. Median distance between actual house locations and points collected on the tablet was 116 m (IQR 42–368) in Rizal and 493 m (IQR 258–886) in Kulon Progo Regency. Accuracy varied between health facilities and decreased in less populated areas with fewer prominent landmarks. Results demonstrate the utility of this approach to develop real-time high-resolution maps of disease in resource-poor environments. This method provides an attractive approach for quickly obtaining spatial information on individuals presenting at health facilities in resource poor areas where formal addresses are unavailable and internet connectivity is limited. Further research is needed on how to integrate these with other health data management systems and implement in a wider operational context. The online version of this article (10.1186/s12942-018-0141-0) contains supplementary material, which is available to authorized users.
登录
查看更多内容
高分辨率全球网格数据用于人群研究。
影响因子：
9.8
作者：
Lloyd CT;Sorichetta A;Tatem AJ
通讯作者：
Tatem AJ
影响因子：
2.6
作者：
King C;Hall J;Banda M;Beard J;Bird J;Kazembe P;Fottrell E
通讯作者：
Fottrell E
影响因子：
4.2
作者：
Stresman, G. H.;Stevenson, J. C.;Owaga, C.;Marube, E.;Anyango, C.;Drakeley, C.;Bousema, T.;Cox, J.
通讯作者：
Cox, J.
影响因子：
--
作者：
Raja A;Tridane A;Gaffar A;Lindquist T;Pribadi K
通讯作者：
Pribadi K
影响因子：
3.7
作者：
Okebe, Joseph;Affara, Muna;D'Alessandro, Umberto
通讯作者：
D'Alessandro, Umberto