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Category: analytics

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Analytics

What Can a Wolf Teach Us About Public Health Data?

Ever feel overwhelmed by your own data? Maybe you’re sitting on 200 survey variables, trying to figure out which ones actually matter. Or you’re evaluating a program with a rich but chaotic dataset—clients, services, outcomes, and community factors all jumbled together. You know there’s insight in there somewhere, but where do you start? Enter: the […]

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Analytics

Cancel Culture for Science: Explore the Cuts to U.S. Biomedical Research

As of April 2025, the U.S. National Institutes of Health (NIH) has terminated nearly 800 active research projects. These weren’t failures or frauds—many were top-rated by peer reviewers and were actively making progress on issues such as COVID-19, HIV/AIDS, mental health, and health equity. The reason? Politics. As part of a sweeping realignment of federal […]

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Analytics

Agent-Based Modeling for Public Health Initiatives

Agent-based modeling (ABM) has emerged as a transformative tool for understanding complex systems in public health. Imagine a virtual world where individual “agents” (such as people, households, or organizations) interact based on set rules. These interactions simulate real-life dynamics, shedding light on patterns that drive health outcomes. But ABM isn’t just for researchers; it has […]

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Analytics

Gambling Ads in Our Daily Lives: More Harmful Than You Think

In today’s world, gambling ads are everywhere—on TV, social media, and even in our favorite sports. Gambling companies use precise data-driven methods to reach us, and they don’t just stop there. Personalized promotions target those who’ve gambled before, nudging them back into old habits. What does this mean for public health? Research says the impacts […]

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Analytics

Willing to Share? How New NIH Data Policy Impacts Public Trust

In January 2023, the National Institutes of Health (NIH) introduced a groundbreaking Data Management and Sharing (DMS) Policy, aiming to revolutionize the way research data is shared. This move is part of a broader effort to enhance transparency, foster collaboration, and accelerate scientific discoveries. But as this policy unfolds, it’s crucial to ask: how do […]

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Analytics

Soccer and Global Health?

Imagine if sharing critical health data was as straightforward and rewarding as trading soccer players. What if every time a country contributed valuable information about a disease outbreak, it was compensated in a way that not only acknowledged its contribution but also incentivized continued sharing? This intriguing idea is explored in a recent scientific article, […]

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Analytics

Predicting Future Health Care Needs with Data-Driven Segmentation

In today’s world, healthcare systems are facing increasing pressure due to aging populations and a rising prevalence of chronic conditions. These trends demand innovative solutions to ensure efficient and effective patient care. One promising approach involves using data-driven population segmentation to predict healthcare needs and tailor interventions accordingly. First, though, I have to editorialize. I […]

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Analytics

Synthetic Data in Health Care: Unlocking New Horizons

Introduction In the realm of healthcare and research, access to quality data is paramount. However, stringent regulations and privacy concerns often restrict data availability. This is where synthetic data comes into play, a revolutionary concept that is reshaping healthcare research and technology development. The article “Synthetic data in health care: A narrative review,” published in […]

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