AIMC Topic: Public Health

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Key factors in predictive analysis of cardiovascular risks in public health.

Scientific reports
This research emphasizes the role of analytics in evaluating the risk of disease (CVD) focusing on thorough data preparation and feature engineering for accurate predictions. We studied machine learning (ML) and learning (DL) models, such as Logistic...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Scientific reports
Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respiratory diseases. We used an archive of COVID-19 data in Colorado from October 2020 to March 2024 to reconstruct seven real-time surveillance indicators...

Health-related SDGs in the national science agendas of Latin America and the Caribbean: a scoping review.

International journal for equity in health
BACKGROUND: The national science and technology agendas (NSTAs) of Latin America and the Caribbean (LAC) are crucial for formulating and implementing public policies by providing a strategic framework that guides state actions and priorities. The obj...

Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies.

Frontiers in public health
Public health emergencies (PHEs) pose significant challenges to global urban governance systems, necessitating the establishment of more efficient and dynamically adaptive response mechanisms. Numerous cases indicate that current urban governance sti...

Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.

JMIR infodemiology
As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influence of artificial intelligence in the information ecosystem. During periods of apparent stability, p...

Using large language models to learn from recent climate change discourse in public health.

PloS one
BACKGROUND: Public health has increasingly recognized the links between climate change and health, emphasizing the need to address related inequities. This is reflected in work led by the Intergovernmental Panel on Climate Change, the UN Framework Co...

Introduction to WBE case estimation: A practical toolset for public health practitioners.

The Science of the total environment
Public health practitioners can use wastewater data to grasp disease dynamics, including incidence, prevalence, and potential disease trajectory. The expertise required to analyze and interpret wastewater data exceed those of most entry-level epidemi...

Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

Frontiers in public health
INTRODUCTION: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. Machine learning offers powerful tools...

Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance.

Scientific reports
Currently, antimicrobial resistance (AMR) poses a major public health challenge. The emergence of AMR, which significantly threatens public health, is primarily due to the overuse of antimicrobial agents. This study explored the possibility that the ...

Advancing Pedagogy in Leadership Practice to Enhance Public Health Impact.

Journal of public health management and practice : JPHMP
BACKGROUND: The COVID-19 pandemic highlighted the critical need for competent leadership in public health to address emergent health challenges and restore trust in health institutions. Emphasizing leadership training in public health education progr...