---
name: environment-international
description: 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.
---

# 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

```text
[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>
```