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environment-international

Use when targeting Environment International or deciding whether an environmental-exposure/health manuscript fits this venue. Encodes the journal's fit, the population-relevant exposure-health evidence bar, exposome/contaminant expectations, house style, official-submission re-check, and desk-reject heuristics.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

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Environment International (environment-international)

Journal positioning

Environment International is the Elsevier journal for environmental science with a strong human-health and exposure emphasis — environmental exposures and contaminants, the exposome, environmental epidemiology, and human health-risk assessment across air, water, soil, food, and the built environment. Its defining expectation is population-relevant exposure–health evidence: a study that connects a measured or modeled environmental exposure to a human health outcome or risk with rigorous quantification. Compared with Environmental Health Perspectives, the scope is broader environmental-science-plus-health and method-forward; a purely environmental-monitoring paper with no health relevance, or a clinical study with no environmental exposure, is a weak fit. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidelines. Before submitting, re-check the live Environment International submission guidance.

When to trigger

  • The author names Environment International and wants a fit/framing check for an environmental-exposure or environmental-health paper.
  • An exposure-assessment, contaminant, or exposome study must be re-framed toward its population-relevant health implication.
  • The author is deciding between Environment International and Environmental Health Perspectives, or between it and a pure environmental-science venue.
  • The author needs this journal's exposure–health evidence bar and desk-reject heuristics.

Scope & topic fit

  • Human exposure assessment: external and internal (biomonitoring) exposure to chemical, physical, and biological agents across multiple environmental media.
  • Exposome and mixtures: high-dimensional exposure characterization and combined-exposure effects on health.
  • Environmental epidemiology linking exposures to health outcomes across the life course, including susceptible populations.
  • Emerging and legacy contaminants (e.g., PFAS, metals, air pollutants, EDCs) with measured exposure and a health or risk endpoint.
  • Health-risk assessment, exposure modeling, and method development for exposure science when the population-health relevance is explicit.
  • Mechanistic toxicology or in-vitro/animal work when clearly anchored to human exposure and risk.

Method & evidence bar

  • The contribution must connect a defensible exposure measure to a human health outcome or risk, not report exposure or environmental concentrations alone.
  • Epidemiological designs need appropriate confounding control, exposure-misclassification handling, sensitivity analyses, and attention to bias and causal interpretation.
  • Exposure assessment needs validated analytical methods, QA/QC, detection-limit handling, and representativeness of the sampled population.
  • Mixtures/exposome analyses must use suitable high-dimensional methods and guard against false discovery and overfitting.
  • Modeling and risk assessment must state assumptions, parameter sources, and uncertainty; dose-response and extrapolation choices must be justified.
  • Reporting should follow recognized epidemiology/exposure guidelines and report effect sizes with uncertainty, not just significance.

Structure & house style

  • Standard research-article format; the journal also publishes reviews and shorter formats — re-check current article types and length on the live guide.
  • The introduction must establish the exposure–health question and population relevance, not only the environmental-chemistry novelty.
  • Figures and tables should be quantitative and health-anchored (exposure–response curves, effect estimates with confidence intervals, exposure distributions), with full models in SI.
  • Methods, data, and code should support reproducibility; follow the journal's data-availability expectations and human-subjects/ethics reporting.

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Elsevier anchors, then cite the current Environment International page you checked.
  • Search the live site for "Environment International guide for authors" and follow the current Elsevier version.
  • Re-check article types, length, abstract, and graphical-abstract/highlights requirements.
  • Confirm reporting-guideline expectations (e.g., epidemiology checklists) and ethics/consent statements for human data.
  • Re-check data-availability, code, and any biomonitoring/cohort data-sharing expectations.
  • Re-check competing-interests, funding, author-contribution, and AI-use disclosure, and open-access terms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • A defensible exposure measure is linked to a human health outcome or quantified risk.
  • Epidemiological confounding, exposure misclassification, and bias are addressed with sensitivity analyses.
  • Exposure analytics have validated methods, QA/QC, and a representative sample.
  • Mixture/exposome analyses control false discovery and overfitting.
  • Effect sizes are reported with uncertainty and a justified causal interpretation.
  • Ethics, reporting guidelines, and data-availability requirements are met.

Common desk-reject triggers

  • Environmental monitoring or concentration data with no human-health or risk endpoint.
  • A clinical/health study with no characterized environmental exposure.
  • Epidemiology with uncontrolled confounding or unaddressed exposure misclassification.
  • Exposome/mixture screening with no correction for multiplicity or no validation.
  • Risk-assessment or modeling with opaque assumptions and no uncertainty analysis.
  • Scope mismatch: a pure ecotoxicology or pure environmental-chemistry paper without the human-health link.

Re-routing decision

  • Public-health/policy framing and NIEHS-style remit dominant → environmental-health-perspectives.
  • Contaminant sources/fate/ecological impact rather than human health → environmental-pollution.
  • Dietary-contaminant chemistry is the contribution → food-chemistry.
  • Broad sustainability/solutions framing → nature-sustainability.
  • Major population-health clinical-epidemiology scope → the-lancet or a dedicated epidemiology journal.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] Environment International
[Topic tags] <2–3 closest exposure/health topics>
[Exposure–health link] <the exposure measure and the human outcome/risk it connects to>
[Method/evidence] <does confounding control + exposure rigor + uncertainty clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / epidemiology reporting / ethics / data policy / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

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