Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.The International COVID-19 Data Alliance (ICODA) improved global health research by facilitating international data sharing. This initiative accelerated data analysis and produced valuable outputs to address pandemic-related research questions.
Area Of Science
- Health Policy
- Data Science
- Global Health
Background
- The COVID-19 pandemic underscored the critical need for international health data sharing.
- Existing health data infrastructure faced challenges in rapid research during the pandemic.
Purpose Of The Study
- To evaluate the challenges and lessons learned from ten International COVID-19 Data Alliance (ICODA) driver projects.
- To explore the effectiveness of data science approaches in accelerating health research.
- To address inequities in health data access and promote ethical data use.
Main Methods
- Analysis of ten International COVID-19 Data Alliance (ICODA) driver projects involving researchers from 19 countries.
- Review of the health data research cycle stages and identification of common challenges.
- Implementation of solutions including data sharing templates, curation expertise, and trusted research environments.
Main Results
- Identified common challenges in data sharing agreements and data curation.
- Developed and tested data science approaches to accelerate the research cycle.
- Facilitated cross-border data sharing through trusted research environments, reducing risk.
- Enabled rapid production of research outputs like publications, code, and dashboards.
Conclusions
- Standardized data sharing templates, early curation support, and trusted research environments are crucial for efficient health data research.
- The ICODA program successfully accelerated research and produced accessible outputs for global health challenges.
- Addressing data access inequities and ethical considerations is vital for effective international health data collaboration.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
Predicting Outbreaks
Predictive analytics, a branch of statistics, uses historical data, algorithmic models, and...
The World Health Organization (WHO) is a specialized agency of the United Nations based in Geneva. The WHO has many initiatives that center around health. Primarily, they lead global efforts to expand universal health coverage using science-based policies and programs. They are also responsible for shaping health research agendas and developing norms and standards.
The WHO provides expert team support, including funding, vaccines, testing, and treatment tools at the country level to fight...
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...