Nigerian Public Health Expert Advocates Data-Driven E-Waste Management to Improve Environmental Safety

As electronic waste continues to grow globally, Nigerian public health researcher Sodiq Abiola Omotosho is advancing a data-driven approach to electronic waste (e-waste) management in the United States, focusing on safer disposal systems, regulatory efficiency, and sustainable resource recovery.

Omotosho’s work sits at the intersection of public health, environmental compliance, and applied research, where discarded electronics are increasingly viewed not only as waste-management concerns but also as major public health risks.

Rising E-Waste Threats and Public Health Concerns

Improper disposal of electronic devices—including smartphones, batteries, computers, and household electronics—can release hazardous materials such as lead, mercury, cadmium, and arsenic into the environment. These toxic substances pose significant risks to workers, surrounding communities, and ecosystems.

As e-waste volumes continue rising worldwide, environmental experts warn that stronger monitoring systems, sustainable recycling models, and policy-backed interventions are becoming increasingly necessary.

Omotosho argues that improving e-waste systems requires more than regulations alone. Instead, he advocates a framework supported by analytics, automation, and public participation to improve environmental safety outcomes.

Applying Data Analytics to Environmental Compliance

Currently serving as an environmental compliance specialist with the Fulton County District of the Georgia Department of Public Health in Metro Atlanta, Omotosho combines field-based experience with research-driven solutions.

Working in Fulton County—Georgia’s most populous county and a major generator of electronic waste—he studies how environmental health systems can become more scalable, efficient, and responsive.

His research focuses on:

• Automation and robotics to improve worker safety in electronic waste disassembly
• Sustainable treatment systems using life-cycle assessment models
• Public awareness and community participation in e-waste recycling programs
• Data-driven compliance monitoring for environmental risk management

By leveraging analytics tools and public health data, Omotosho seeks to identify high-risk areas and improve decision-making for regulatory agencies.

One Health Framework Shapes Research Strategy

Omotosho’s research adopts the One Health framework, an interdisciplinary model linking human, environmental, and animal health systems.

Using statistical and analytical tools such as SPSS, STATA, and R, he evaluates compliance datasets to uncover trends, assess environmental exposure risks, and strengthen public health interventions.

According to Omotosho, sustainable environmental protection increasingly depends on integrating data, governance, and scalable systems.

“I believe the future of environmental health lies at the intersection of data, policy, and sustainable systems. My goal is to develop practical solutions that help protect communities, strengthen compliance systems, and improve public health outcomes,” he said.

Academic Background and Research Contributions

Omotosho holds a Master of Public Health degree from Fort Valley State University, graduating with a perfect academic record, alongside a first-class degree in Agricultural Economics from Kwara State University.

He has also collaborated on academic research with scholars from institutions including University of Idaho, University of Notre Dame, Michigan Technological University, Oregon State University, and Park University.

Why Data-Driven E-Waste Management Matters

As governments and environmental agencies search for better ways to manage increasing volumes of discarded electronics, experts believe data-backed compliance systems, automation, and stronger public participation could become critical to improving environmental sustainability.

For Omotosho, the future of e-waste management lies in combining scientific research, public health policy, and analytics-driven systems to reduce environmental hazards while strengthening regulatory outcomes.

With growing concerns around electronic waste pollution and resource recovery, his work highlights how data and environmental policy can converge to improve public health and sustainability outcomes.