Patients with epilepsy carry a risk of premature death which is on average two to three times higher than in the general population. The risk of death is not homogenously distributed over all ages, etiologies, and epilepsy syndromes. People with drug resistant seizures carry the highest risk of death compared to those who are seizure…
Frontiers in Epidemiology Template
Write in a clean editor, then format for Frontiers in Epidemiology in one click — DocuGuru applies the official Frontiers template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Frontiers in Epidemiology format
Frontiers in Epidemiology is a peer-reviewed journal published by Frontiers, covering COVID-19 epidemiological studies, Malaria Research and Control, Mosquito-borne diseases and control. Over its lifetime it has published 302 papers, which have received 1,712 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Frontiers in Epidemiology. 2023;12(3):45–58.
Formats any DOI in Frontiers in Epidemiology style. No sign-up. |
| Publishes research in | COVID-19 epidemiological studies Malaria Research and Control Mosquito-borne diseases and control Health disparities and outcomes SARS-CoV-2 and COVID-19 Research |
| ISSN | 2674-1199 |
| Citation impact (2-yr) | 2.4 |
| h-index | 18 |
| i10-index | 38 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Johns Hopkins University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Frontiers in Epidemiology per year
Citation impact of Frontiers in Epidemiology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Frontiers in Epidemiology
Objective Traditional methods to deal with non-linearity in regression analysis often result in loss of information or compromised interpretability of the results. A recommended but underutilized method for modeling non-linear associations in regression models is spline functions. We explain spline functions in a non-mathematical way and illustrate the application and interpretation to an empirical data…
Introduction: Cardiovascular diseases (CVDs) have been associated with an increased risk of dementia; yet the evidence is mixed. This review critically appraises and synthesises current evidence exploring associations between dementia risk and CVD and their risk factors, including coronary heart disease, heart failure, atrial fibrillation, hypertension, hyperlipidaemia, and arterial stiffness. Methods: MEDLINE, Embase, PsycINFO, and…
Workplace exposures to physical, chemical, and psychosocial factors account for a large burden of chronic diseases. Obtaining useful estimates of current and past workplace exposures is challenging, particularly in large general population studies. Job-exposure matrices (JEMs) are a useful tool for exposure assessment, particularly when no individual level exposure data are available. A JEM provides…
Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one such method, for example, highly relevant to Cox proportional hazard regression model analysis. RCS regression uses third-order polynomials joined at knot points to model non-linear relationships. The standard approach is…