Yau Adamu

Assistant Professor

University of Texas Health Science Center at San Antonio
Country flagUnited States

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About

Yau Adamu is an Assistant Professor at The University of Texas Health Science Center at San Antonio, USA. His research focuses on exposomics, data science methodologies, and public health concerns, as evidenced by his recent articles addressing topics such as data sharing in exposomics and the community-level approach to public health. He also explores the comparative effectiveness of treatments for MRSA infections and investigates various public health challenges in different populations.

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Environmental factors affecting health and vulnerability far outweigh genetics in accounting for disparities in health status and longevity in US communities. The concept of the exposome, the totality of exposure from conception onwards, provides a paradigm for researchers to investigate the complex role of the environment on the health of individuals. We propose a complementary framework, community-level exposomics, for population-level exposome assessment. The goal is to bring the exposome paradigm to research and practice on the health of populations, defined by various axes including geographic, social, and occupational. This framework includes the integration of community-level measures of the built, natural and social environments, environmental pollution-derived from conventional and community science approaches, internal markers of exposure that can be measured at the population-level and early responses associated with health status that can be tracked using population-based monitoring. Primary challenges to the implementation of the proposed framework include needed advancements in population-level measurement, lack of existing models with the capability to produce interpretable and actionable evidence and the ethical considerations of labeling geographically-bound populations by exposomic profiles. To address these challenges, we propose a set of recommendations that begin with greater engagement with and empowerment of affected communities and targeted investment in community-based solutions. Applications to urban settings and disaster epidemiology are discussed as examples for implementation.

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Collaborators (5)

Marc Chadeau-Hyam

Professor in Computational Epidemiology and Biostatistics

Imperial College London

UNITED KINGDOM
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Anne Thessen

Visiting Associate Professor

University of Colorado Anschutz Medical Campus

UNITED STATES
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Arcot K Rajasekar

University of North Carolina

UNITED STATES
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Khalid Garba Mohammed

The Queen's University Belfast

UNITED KINGDOM
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Christopher Duncan

National Institute of Environmental Health Sciences

UNITED STATES
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