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Papers
61,005 resultsShowing papers similar to Development of Cohort-Based Prediction Model for Human Health in Relation to Ecological Aspects
ClearDevelopment of a Classification Model for Physiological Parameters in Relation to Ecological Aspects Based on Cohort Data
Researchers developed a classification model linking physiological parameters to ecological and environmental factors using cohort data, aiming to understand how environmental variables, socioeconomic conditions, and demographic parameters influence human health outcomes in the context of ecosystem modelling.
Novel concept for the healthy population influencing factors
This paper introduced a novel conceptual framework for identifying the factors that influence population health, integrating environmental, behavioral, and socioeconomic determinants. The framework is proposed as a tool for public health planning and health impact assessment.
Aquatic ecosystem indices, linking ecosystem health to human health risks
Researchers reviewed indicators used to assess aquatic ecosystem health and found that most existing tools don't adequately capture the risks that degraded water ecosystems pose to human health and well-being. They propose a new set of combined indicators — covering chemical contaminants, pathogens, and biological markers — to better link ecosystem health monitoring to human health outcomes.
Linking coastal environmental and health observations for human wellbeing
This paper proposes a framework for linking coastal environmental monitoring data with human health observations to create integrated coastal health indicators, identifying locations where climate change and pollution may create hotspots of health concern. The approach aims to improve understanding of how coastal environmental quality affects human wellbeing.
The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science
This paper proposes an exposome framework for predicting environmental health based on systemic homeostasis, integrating data from microbial ecosystems, chemical exposures, and recycled resources to evaluate environmental illness. The approach aims to model how combined exposures disrupt biological balance in organisms and ecosystems.
Scale validation and prediction of environmental health literacy in Brazil
Researchers surveyed nearly 400 people in Brazil to measure environmental health literacy — how well people understand the links between pollution and human health — and found that education, income, age, and ethnicity were the strongest predictors of awareness levels. The findings can help policymakers design targeted communication strategies for communities most vulnerable to environmental health risks.
Development of Ecosystem Health Assessment (EHA) and Application Method: A Review
This review traces the development of ecosystem health assessment methods, comparing biological indicator approaches and index system methods and analyzing how they have been applied to assess the health of aquatic, terrestrial, and urban ecosystems under anthropogenic stress.
DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning
A machine learning model was developed to predict biological age from DNA methylation biomarkers, demonstrating performance applicable to both healthy individuals and disease cohorts. The study contributes to the growing field of epigenetic aging clocks with potential applications in assessing environmental health impacts and disease risk.
Ilmu Kesehatan Masyarakat Pesisir
This book presents a comprehensive academic treatment of coastal community public health, addressing the complexity of environmental health issues facing coastal populations including exposure to marine pollutants and the intersection of ecosystem degradation with human wellbeing.
Small-area methods for investigation of environment and health
This paper reviews small-area epidemiological methods for investigating associations between environmental pollutants, including microplastics, and human health outcomes at the neighborhood scale. The authors highlight recent Bayesian statistical advances that improve the ability to detect disease patterns linked to localized environmental exposures.
Public perceptions of climate change and health – A cross-sectional survey study
Researchers conducted a cross-sectional survey to assess public perceptions of the links between climate change and human health, examining awareness of how rising temperatures, extreme weather, air pollution, and environmental degradation affect morbidity and mortality. The study found variable levels of public understanding across demographic groups, with implications for health communication and climate policy engagement.
Planetary Health: Safeguarding Human Health and the Environment in the Anthropocene
This book on Planetary Health framed environmental degradation as a direct threat to human health across domains from pandemics to chronic disease to mental health, arguing that transformative changes in energy, food, housing, and transport systems are needed to simultaneously improve health outcomes and protect the natural systems on which human civilization depends.
The Importance of Environmental Sustainability for Healthy Ageing and The Incorporation of Systems Thinking in Education for A Sustainable Environment
This paper argues that environmental sustainability is a prerequisite for healthy ageing in an increasingly elderly global population, reviewing evidence linking chemical pollution, climate change, and ecosystem degradation to age-related disease. The authors call for systems thinking education to train public health professionals to address environmental sustainability as a core component of healthy ageing policy.
Hierarchy of Demographic and Social Determinants of Mental Health
Not relevant to microplastics — this is an epidemiology study using machine learning to rank demographic and social predictors of mental health outcomes across 270,000 adults in 32 countries.
Environmental Chemicals: Integrative Approach to Human Biomonitoring and Health Effects
This review presents an integrative framework for human biomonitoring of environmental chemicals — including microplastics, heavy metals, and endocrine disruptors — linking population-level exposure data with health outcomes to inform policy decisions on chemical risk management.
Increasing urban health awareness using an interactive approach: evidence from a school-based study
Researchers conducted a school-based study to evaluate an interactive approach for increasing urban health awareness among students, with a focus on the health consequences of climate change and urbanization. The study found evidence that participatory school interventions can improve health literacy and adaptive capacity among urban youth, supporting WHO recommendations for health-promoting schools.
Infectious disease ecology and evolution in a changing world
This study examines how changing environmental conditions, particularly thermal shifts, can influence infectious disease dynamics. The research suggests that temperature conditions can strongly affect both host and pathogen traits related to infection.
A One Health Approach to Marine Health
This paper applies the One Health framework — which integrates human, animal, and environmental health — to the challenge of protecting marine ecosystems from climate change, plastic pollution, and overfishing. The authors argue that addressing ocean health requires interdisciplinary collaboration between public health, environmental science, and policy sectors.
Predicting effects of multiple interacting global change drivers across trophic levels
Researchers proposed a framework using reaction norms to predict how multiple interacting global change drivers simultaneously affect vital rates and population dynamics across trophic levels, addressing a key challenge in ecology and conservation.
A planetary vision for one health
This planetary health perspective synthesized findings from the 2015 Rockefeller Foundation-Lancet Commission report on human health in the Anthropocene, identifying climate change, deforestation, ocean acidification, zoonotic disease, biodiversity loss, and air pollution as interconnected threats to human wellbeing. The authors call for immediate, evidence-based cross-disciplinary policy responses to address planetary boundaries that underpin human health.
The One Health Concept: 10 Years Old and a Long Road Ahead
This paper reviews the progress and challenges of the One Health concept, which recognizes that human, animal, and environmental health are deeply interconnected. Researchers discuss how emerging infectious diseases, antimicrobial resistance, and environmental pollution including chemical contaminants all require a cross-disciplinary approach. The study emphasizes that addressing modern health threats requires integrating ecological and environmental sciences alongside traditional medicine and veterinary practices.
Health Hazards due to Environmental Impacts
This review examined how environmental changes — including chemical contamination, climate shifts, and poor sanitation — negatively affect human health, concluding that chemical safety and environmental quality are foundational to preventing widespread disease.
A Novel Hybrid IOT Based Artificial Intelligence Algorithm for Toxicity Prediction In The Environment And Its Effect On Human Health
Researchers proposed a hybrid IoT-based artificial intelligence framework for predicting environmental toxicity and its effects on human health, combining sensor networks with machine learning to improve real-time assessment of chemical exposure risks in the environment.
Ridge regression-based modeling for assessing the extent of response to biological invasions
Researchers developed a ridge regression-based model to assess biological invasion security threat levels by filtering key factors from economic, medical, scientific, social, and ecological domains and applying regularization to address data covariance and prevent overfitting. The study represents the first application of ridge regression to biological invasion risk assessment, demonstrating improved model stability and generalization compared to standard linear regression approaches.