China 
Africa 
Explore chapters and articles related to this topic
Land Administration and Authoritative Geospatial Information: Lessons from Disasters to Support Building Resilience to Pandemics
Published in Abbas Rajabifard, Greg Foliente, Daniel Paez, COVID-19 Pandemic, Geospatial Information, and Community Resilience, 2021
Keith Clifford Bell, Vladimir V. Evtimov
Resilience, be it for disasters or pandemics, requires a high degree of geospatial preparedness, which is best achieved through NSDI. For NSDI, countries require: (i) an agreed common geospatial framework with defined horizontal and vertical reference systems; (ii) standards, data sharing protocols and data access; (iii) fundamental mapping or geospatial datasets; (iv) an agreed lead agency mandate for the overall coordination of the NSDI and designated lead agencies for the production and maintenance of fundamental geospatial data themes; (v) communications; security; and (vi) human, technical and financial capacity to sustain the systems. In the context of a pandemic, further geospatial-related requirements may include: (i) access to mobility data from telecommunication networks, video-surveillance, urban and other sensors; (ii) tools to analyze the influx of near real-time data; (iii) spatially-enabled systems to support public health surveillance; and (iv) policies for balancing the protection of personal data privacy and confidentiality with ensuring the public good.
The challenges and opportunities in using real-world data to drive advances in healthcare in East Asia: expert panel recommendations
Published in Current Medical Research and Opinion, 2022
Gracy Crane, John C. W. Lim, Churn-Shiouh Gau, Jipan Xie, Laura Chu
Technical challenges include the high costs associated with designing, establishing, and maintaining high-quality real-world databases. Such databases should ideally include longitudinal data from throughout patients’ healthcare journeys, with very few errors or omissions. Linking multiple data sources is often necessary to obtain useful data sets that represent the full patient journey. Deriving useful RWD from systems not designed for research (e.g. EMR and billing systems) can be challenging because data may be incomplete, missing, inaccurate, or inaccessible18 (e.g. genomic test results may be an incompatible format such as PDF). Recent advances in digital technologies offer opportunities that profoundly change the ways in which RWD are collected, shared, and analyzed. For example, new digital tools, such as automated cloud-based databases and patient-worn smart devices, can reduce the data-input burden placed on healthcare professionals, organizations, and patients. Access to ‘real-time’ data from these devices may enable easier data collection compared with more traditional methods; however, the content and quality of data collected by different devices may vary considerably, creating challenges for interoperability and harmonization and limiting their use. Nevertheless, the use of these devices can also facilitate secure and effective sharing of data from different sources.