Gupta Sanjeev K, Singh Himmat, Joshi Mahesh C, Sharma Amit
ICMR-National Institute of Malaria Research, New Delhi, India.
Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.
Digit Health. 2023 Apr 2;9:20552076231164098. doi: 10.1177/20552076231164098. eCollection 2023 Jan-Dec.
Dealing with the threats of vector-borne diseases necessitates robust disease surveillance systems. The gathered information from surveillance studies is used to evaluate the effectiveness of control measures. It also guides the allocation of resources within the healthcare system. The disease surveillance data also identify high-risk populations or geographic areas to target interventions. Because of the importance of surveillance in decision-making and its timely requirement, real-time data collection is vital. A few advantages of real-time data collection apps are building powerful digital forms, exporting data for quick analysis in various formats, and being open-source. These apps automate data collection and transfer to an online server even without an internet connection. While collecting disease surveillance data digitally one crucial aspect lacking is data quality. This paper aims to present the importance of dashboards that includes paradata in improving data quality using real-time data collection tools in disease surveillance. Various types of paradata such as timestamps, geo-referencing, audio recording and so on help enhance the quality of data and can help monitor and evaluate surveillance staff. The outcomes of the paradata analysis may lead to the retraining of the surveillance team and even re-planning of surveillance. Undoubtedly, real-time data collection is the way of the future in any field-based study, and studies should be planned in conjunction with paradata to ensure that high-quality data are recorded.
应对媒介传播疾病的威胁需要强大的疾病监测系统。从监测研究中收集的信息用于评估控制措施的有效性。它还指导医疗保健系统内资源的分配。疾病监测数据还能确定需要进行干预的高危人群或地理区域。由于监测在决策中的重要性及其及时性要求，实时数据收集至关重要。实时数据收集应用程序的一些优点包括构建强大的数字表单、以各种格式导出数据以便快速分析以及开源。即使没有互联网连接，这些应用程序也能自动收集数据并传输到在线服务器。在以数字方式收集疾病监测数据时，一个关键的缺失方面是数据质量。本文旨在阐述包含辅助数据的仪表盘在利用疾病监测中的实时数据收集工具提高数据质量方面的重要性。各种类型的辅助数据，如时间戳、地理定位、音频记录等，有助于提高数据质量，并可帮助监督和评估监测人员。辅助数据分析的结果可能会导致对监测团队进行再培训，甚至重新规划监测工作。毫无疑问，实时数据收集是任何实地研究未来的发展方向，研究应结合辅助数据进行规划，以确保记录高质量的数据。
