跳到主要内容
知仓学习社ZHICANG

environment-international

Use when targeting Environment International or deciding whether an environmental-exposure/health manuscript fits this venue. Encodes the journal's …

不碰外部(只输出文字)无严重或高危命中brycewang-stanford/Awesome-Journal-Skills

它会碰到什么

扫了多少1 个文本文件,7 KB
它会碰到什么不碰外部(只输出文字)
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0

这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。

技能内容

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>

想直接用这个技能?

本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。

它属于哪个仓库

星标★ 1,120
本站分层T1
该仓技能数4166
原文件路径Agriculture-Environment-Journal-Skills/skills/environment-international/SKILL.md

同一个仓库里的其他技能

看这个仓库的全部 4166 个技能