دورية أكاديمية
Assessment of Environmental Impacts on Health: Examples from the Pacific Basin.
| العنوان: | Assessment of Environmental Impacts on Health: Examples from the Pacific Basin. |
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| المؤلفون: | Jagals P; Children's Health and Environment Program, Child Health Research Centre, The University of Queensland, Australia., Kim I; Korea Institute of Industrial Technology, Seoul, South Korea., Brereton C; Children's Health and Environment Program, Child Health Research Centre, The University of Queensland, Australia., Lau CL; School of Public Health, The University of Queensland, Australia. |
| المصدر: | Annals of global health [Ann Glob Health] 2022 Oct 21; Vol. 88 (1), pp. 92. Date of Electronic Publication: 2022 Oct 21 (Print Publication: 2022). |
| نوع المنشور: | Journal Article; Review; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Ubiquity Press Country of Publication: United States NLM ID: 101620864 Publication Model: eCollection Cited Medium: Internet ISSN: 2214-9996 (Electronic) Linking ISSN: 22149996 NLM ISO Abbreviation: Ann Glob Health Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2018- : London : Ubiquity Press Original Publication: Philadelphia, PA : Elsevier Inc., [2014]- |
| مواضيع طبية MeSH: | Environment* , Environmental Health*, Child ; Humans ; Bayes Theorem ; Public Health ; Risk Assessment/methods |
| مستخلص: | Assessing environmental impacts on health in the Pacific Basin is challenged by significantly varying data types - quantities, qualities, and paucities - because of varying geographic sizes, environments, biodiversity, ecological assets, and human population densities, with highly varied and unequal socio-economic development and capacity to respond to environmental and health challenges. We discuss three case-based methodological examples from Pacific Basin environmental health impact assessments. These methods could be used to improve environmental health evidence at all country and regional levels across a spectrum of big data availability to no data. These methods are, 1) a risk assessment of airborne particulate matter in Korea based on the chemical composition of these particulates; 2) the use of system dynamics to appraise the influences of a range of environmental health determinants on child health outcomes in remote Solomon Islands; and 3) precision environmental public health methodologies based on comprehensive data collection, analyses, and modelling (including Bayesian belief networks and spatial epidemiology) increasing precision for good environmental health decision making to prevent and control a zoonotic disease in Fiji Islands. We show that while a common theme across the three examples is the value of high quality and quantity data to support stronger policy decisions and appropriate prioritizing of investment, it is also clear that for many countries in the Pacific Basin, sufficient data will remain a challenge to inform decision makers about environmental impact on health. Competing Interests: The authors have no competing interests to declare. (Copyright: © 2022 The Author(s).) |
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| معلومات مُعتمدة: | R13 ES034279 United States ES NIEHS NIH HHS; U13 ES033440 United States ES NIEHS NIH HHS |
| فهرسة مساهمة: | Keywords: Causal loop diagrams; Environmental Health Risk and Impact Assessment; Precision Environmental Public Health; System Dynamics |
| تواريخ الأحداث: | Date Created: 20221109 Date Completed: 20221110 Latest Revision: 20240731 |
| رمز التحديث: | 20240731 |
| مُعرف محوري في PubMed: | PMC9585977 |
| DOI: | 10.5334/aogh.3671 |
| PMID: | 36348704 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 2214-9996 |
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| DOI: | 10.5334/aogh.3671 |