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Category: analytics

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Analytics

ReADI Could Make Neighborhood Deprivation Data More Useful for Public Health

Public health has plenty of indices designed to tell us about the places where people live. The Social Vulnerability Index measures characteristics that can make communities particularly vulnerable during disasters and other emergencies. The Area Deprivation Index measures neighborhood socioeconomic disadvantage. Other tools measure persistent poverty, community deprivation, rurality, health care access, and related conditions. […]

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Analytics

Public Health Data Can Talk to Each Other. But Do They Understand Each Other?

Public health has a data problem that is easy to describe and surprisingly difficult to solve. Hospitals collect data. Laboratories collect data. State and local health departments collect data. Environmental sensors collect data. Emergency medical systems, wearable devices, wastewater monitoring programs, pharmacies, schools, and community organizations all generate information that could potentially help us understand […]

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Analytics

FAIR Health Atlas Reveals Chronic Disease Insights for Policy Action

In a bustling public health department in West Virginia, a group of health workers pored over maps and charts, trying to decide where to focus their next chronic disease intervention program. Faced with limited resources and an urgent need to address rising diabetes rates, they wished for more reliable data to inform their decisions. That’s […]

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Analytics

Decision-Useful Implementation Science: What Makes Research Actually Useful?

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

Big Data and Environmental Health

In the bustling city of Toledo, Ohio, a dilemma faces urban planners and public health officials alike: how to address the vibrant yet unmanaged wild vegetation surging in unmaintained city lots. On the surface, these green spaces may appear as urban oases, but a closer examination reveals complexities tied to local health outcomes and potential […]

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Analytics

Who Really Controls Implementation? Why Authority Matters More Than Buy-In

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

The Comfortable Politics of Implementation Science

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

Leadership Isn’t a Mechanism in Implementation Science

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

The Missing Ingredient: Do Implementation Papers Actually Prioritize Barriers?

This article is part of Decision-Useful Implementation Science, an ongoing series exploring what implementation research actually tells us about putting evidence into practice. Using large-scale text analysis, natural language processing, and bibliometric methods, the project examines nearly 1.5 million PubMed-indexed publications from 1980 to 2025. Rather than reviewing individual studies, the series steps back to […]

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Analytics

Bridging Data Science Gaps in Public Health Training

Picture a bustling public health department, where a dedicated team of professionals is navigating the myriad challenges of improving community health. Within this environment, traditional approaches to public health are being fundamentally transformed by the power of data science. But there’s a catch: these professionals are experts in epidemiology and community health but often lack […]

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