(1) Principles of Biostatistics and Epidemiology Flashcards
an approach that relies on empirical data, data analysis, and insights to inform strategies that are aimed at improving outcomes and increasing efficiency across various domains
Data-driven decision-making
___ and ___ have become paramount in shaping effective strategies to address health challenges and improve public health outcomes.
Data availability
utilization
essential at every step in approaching public
health problems
Data
While some public health decisions may be based on expert knowledge, data provides a ___ for ___ decision making and significantly enhances the effectiveness and efficiency of public health strategies
solid foundation
evidence-based
primary use of data-driven public health decision-making. The continuous, systematic collection, analysis and interpretation of health related data is needed to plan, implement, and evaluate public health initiatives
Surveillance
detect trends, outbreaks, and patterns of
diseases in real time
Surveillance
Timely and accurate ___ allows for rapid responses to potential health threats, preventing further spread and minimising their impact on communities
surveillance
Data analytics enables public health professionals to identify and understand risk factors associated with various diseases and health conditions.
Risk factor identification
allows tailored interventions to target the
specific needs of at-risk populations effectively
Risk factor identification
Proactively identifying ___ can help prevent diseases before they escalate, reducing the burden on healthcare systems.
risk factors
Through data-driven decision-making, public health interventions can be continuously assessed and evaluated for their effectiveness
Intervention evaluation
Data provides concrete evidence of what works and what may not, allowing policymakers to make informed adjustments to improve outcomes and allocate resources more efficiently
Intervention evaluation
When ___ public health programs, data-driven decision-making ensures that resources are allocated to areas with the highest need.
implementing
Data analysis allows decision-makers to identify geographical locations or demographics that require more attention and support
Implementation
helps maximise interventions’ impact and
promote equity in healthcare access
Implementation