Health Data Management for before, during and after emergencies and disasters
Accurate and real-time health data is crucial for all phases of disasters from preparedness to recovery. Having health data helps to inform decision-making processes, to allocate resources effectively, to assess the disaster impact, and to identify areas needing support the most. It is also important for tracking recovery progress and evaluating the effectiveness of interventions [1].
The WHO Health Emergency and Disaster Risk Management (Health-EDRM) framework emphasises the importance of data collection, analysis, and use at the individual, community, and global levels [2]. In order for effective data use before, during and after disasters, it is important to understand how health data can be collected, how data is analysed, how data should be treated and where you can collect data [3].
This section shares information related to 4 key components based on the WKC funded research project (2020-21 project) and related chapters of the WHO Guidance on Research Methods for Health EDRM.
4 key components
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Reference
[1] Gouvew-Reis F, Dell'Aringa MF, Murray V. Chapter 4.4 Collection and management of good quality data. In: WHO Guidance on Research Methods for Health Emergency and DIsaster Risk Management, revised 2022. World Health Organization; 2022: 271-281. https://apps.who.int/iris/handle/10665/363502 (accessed 01 May 2023).
[2] WHO Health Emergency and Disaster Risk Management (Health-EDRM) framework
[3] Chan et al., 2022. Challenges of Data Availability and Use in Conducting Health-EDRM Research in a Post Covid-19 World https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997713/
