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Epidemiology

Share Your Epidemiology Research — Publish and Earn

Register to submit your paper, and Start Earning from your Research Articles

In the ever-changing landscape of global health, epidemiology stands at the forefront of understanding disease patterns, prevention strategies, and public health interventions. Whether you're exploring infectious disease modeling, chronic illness trends, or outbreak tracking, our multidisciplinary publishing platform offers an open space for your research — with monetization opportunities built-in.

Why Publish Epidemiology Articles with Us?

Traditional peer review can slow the dissemination of important epidemiological findings. Our non-peer-reviewed model gives you the freedom to share valuable insights quickly and directly with academics, practitioners, and decision-makers. Your original research, case studies, and reviews can reach a global audience looking for reliable data on population health trends, risk factor analyses, and evidence-based strategies.

From Fieldwork to Policy Impact

Epidemiology drives real-world change. Whether your study focuses on surveillance, predictive modeling, health disparities, or vaccine effectiveness, your contributions can shape how diseases are understood and managed. Our platform encourages submissions across the full spectrum of epidemiological inquiry — including infectious diseases, chronic conditions, and environmental health risks.

Monetize Your Expertise

Publishing isn't just about visibility; it’s also about value. We offer content creators the ability to monetize their knowledge while contributing to global health dialogue. If you’re looking for a home for your epidemiological work beyond conventional academic journals, we welcome your submission.

Join a growing network of public health experts, researchers, and data scientists. Submit your epidemiology articles today and turn your findings into both impact and income.

Biomedical

A Physics-Informed Neural Network approach for compartmental epidemiological models

Caterina Millevoi,

Caterina Millevoi

Institution:

Email:

Damiano Pasetto,

Damiano Pasetto

Institution:

Email:

Massimiliano Ferronato

Massimiliano Ferronato

Institution:

Email:


Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forecasts or transmission scenarios, and to assess the impact of vaccination campaigns. However, their calibration is not straightforward, since many factors contribute to the rapid change of the transmission dynamics. For example, there might be ...
5 months ago

Biomedical

Attributable risk from distributed lag models

Antonio Gasparrini,

Antonio Gasparrini

Institution:

Email:

Michela Leone

Michela Leone

Institution:

Email:


Background

Measures of attributable risk are critical in epidemiology, particularly for planning and evaluating public health interventions. Current definitions, however, often overlook temporal relationships between exposure and risk. This study proposes extended definitions of attributable risk within the framework of distributed l...
5 months ago

Biomedical

The Uncertain Science of Predicting Death

Laura Van Metre Baum,

Laura Van Metre Baum

Institution: Division of Hematology and Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee

Email:

Debra Friedman

Debra Friedman

Institution: Division of Pediatric Hematology/Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee

Email:


The study by Seow et al. explores the development of a patient-oriented prognostic tool to help patients with cancer understand their mortality and disease trajectory. It aims to improve end-of-life (EOL) care by empowering patients to make informed decisions aligned with their goals. The study highlights the importance of prognosis awareness, functional decline, and symptom monitoring in improvin...
6 months ago

Biomedical

Tobacco Use in High-Risk Populations

Wilson M. Compton,

Wilson M. Compton

Institution: National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland

Email:

Emily B. Einstein

Emily B. Einstein

Institution: National Institute on Drug Abuse, National Institutes of Health, Bethesda, Maryland

Email:


The study by Akhtar and colleagues highlights the high rate of tobacco use (over 90%) among rural individuals who inject drugs, revealing the ongoing smoking epidemic in high-risk populations. Tobacco use is linked to social stressors like Medicaid insurance and homelessness. The study suggests that smoking cessation interventions have not effectively reached this group, and advocates for integrat...
6 months ago

Biomedical

Spatial Epidemiology of Diabetes and Tuberculosis in India

Daniel J Corsi

Daniel J Corsi

Institution: School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada

Email:


In the study by Hernandez et al., the spatial distribution of diabetes in India was examined, revealing a concentration in southern and eastern regions. The study also explored the potential overlap between diabetes and tuberculosis prevalence, but found no significant spatial correlation between the two. This work highlights the importance of spatial epidemiology in understanding disease patterns...
6 months ago

Biomedical

Is the Environment Associated With Preterm Birth?

Ruth A. Etzel

Ruth A. Etzel

Institution: Milken Institute School of Public Health, The George Washington University, Washington, DC

Email:


The study by Zhang et al. explores the link between preconception exposure to phthalates and an increased risk of preterm birth. Phthalates, commonly found in food and consumer products, are endocrine disruptors. The research found that higher concentrations of specific phthalate metabolites in maternal urine were associated with a 50% increased risk of preterm birth. The findings suggest that int...
6 months ago

Biomedical

Wastewater and the Elimination of Bias

Jeffrey Brent,

Jeffrey Brent

Institution: Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of Colorado, Littleton

Email:

Stephanie T. Weiss

Stephanie T. Weiss

Institution: Translational Addiction Medicine Branch, Intramural Research Program, National Institute on Drug Abuse, National Institutes of Health, Baltimore, Maryland

Email:


The article discusses the advantages of wastewater sampling for monitoring drug use in communities. It highlights how wastewater surveillance avoids biases seen in other drug monitoring methods and offers valuable insights into drug consumption patterns. The paper also addresses the potential for wastewater sampling to identify novel psychoactive substances (NPS) and warns about the stigmatization...
7 months ago

Biomedical

Smoking and Melanoma Outcomes—Another Reason to Quit

Mary S. Brady

Mary S. Brady

Institution: Memorial Sloan Kettering Cancer Center, New York, New York

Email:


Summary: The study by Jackson et al. shows that smoking significantly increases the risk of melanoma-associated death (MAD) in patients with clinically localized melanoma. Smokers had a 48% higher risk of death from melanoma compared to nonsmokers, with heavier smokers facing an even greater risk. The study highlights that smoking may reduce blood flow and impair immune responses, contributing to ...
7 months ago

Biomedical

Using Nonprobabilistic Surveys to Measure COVID-19 Incidence

Jacob E. Simmering

Jacob E. Simmering

Institution: Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City

Email:


Summary:

The article discusses the potential of nonprobability online surveys as an efficient and timely method for measuring COVID-19 incidence. These surveys, when integrated with wastewater surveillance data, provide useful estimates of disease spread, particularly in the absence of precise official case counts. They offer demographic insig...
7 months ago

Social Science

Integrating data within watershed management and public health

Lars K. Hallstrom

Lars K. Hallstrom

Institution:

Email:


Summary

The study, Integrating Data Within Watershed Management and Public Health by Lars K. Hallstrom (2024), explores the critical interplay between water resources, ecosystem health, and public health. It emphasizes the importance of integrating data from diverse sources to address challenges like climate change, water scarcity, and their ef...
7 months ago

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