{"title":"200 根据禽流感调整 BOHS COVID-19 风险矩阵。让动物慈善机构做好应对未来疫情的准备","authors":"Mary Cameron","doi":"10.1093/annweh/wxae035.079","DOIUrl":null,"url":null,"abstract":"Based on a similar exercise carried out by the BOHS in 2020 during the early stages of the COVID-19 pandemic. The BOHS COVID-19 risk matrix was adapted to provide an animal charity with an Avian Influenza (AI) risk management tool. The charity staff handle sick and dead birds in the wild (symptoms of AI may not be immediately apparent) and at their animal treatment and housing centres. This tool guides the employer in determining appropriate control measures to help reduce the risk of their staff, and also the public, from being infected with AI. Although there is currently limited evidence of transference to humans and the risk appears to be low, this could change in the not too distant future. Cross species infections are predicted to increase with the habitat pressures brought about by climate change. Therefore this AI risk matrix has been developed as a precautionary approach. The approach recognises the pitfalls of reliance on PPE alone and endeavours to promote a preventative approach built on good occupational hygiene practice. Given the variety and complexity of the workplace, the AI risk matrix provides an initial reference for control measures, risk evaluation, and grouped job roles to help the employer make balanced decisions and decide what are the reasonable precautions. Acknowledgements- Authors of the BOHS COVID-19 risk matrix Kelvin Williams BSc(Hons) DipOH CFFOH Dr Mangala Patil-Mead","PeriodicalId":8362,"journal":{"name":"Annals Of Work Exposures and Health","volume":"5 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"200 Adapting the BOHS COVID-19 risk matrix to Avian Influenza. Preparing an animal charity for future outbreaks\",\"authors\":\"Mary Cameron\",\"doi\":\"10.1093/annweh/wxae035.079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on a similar exercise carried out by the BOHS in 2020 during the early stages of the COVID-19 pandemic. The BOHS COVID-19 risk matrix was adapted to provide an animal charity with an Avian Influenza (AI) risk management tool. The charity staff handle sick and dead birds in the wild (symptoms of AI may not be immediately apparent) and at their animal treatment and housing centres. This tool guides the employer in determining appropriate control measures to help reduce the risk of their staff, and also the public, from being infected with AI. Although there is currently limited evidence of transference to humans and the risk appears to be low, this could change in the not too distant future. Cross species infections are predicted to increase with the habitat pressures brought about by climate change. Therefore this AI risk matrix has been developed as a precautionary approach. The approach recognises the pitfalls of reliance on PPE alone and endeavours to promote a preventative approach built on good occupational hygiene practice. Given the variety and complexity of the workplace, the AI risk matrix provides an initial reference for control measures, risk evaluation, and grouped job roles to help the employer make balanced decisions and decide what are the reasonable precautions. Acknowledgements- Authors of the BOHS COVID-19 risk matrix Kelvin Williams BSc(Hons) DipOH CFFOH Dr Mangala Patil-Mead\",\"PeriodicalId\":8362,\"journal\":{\"name\":\"Annals Of Work Exposures and Health\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals Of Work Exposures and Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/annweh/wxae035.079\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals Of Work Exposures and Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/annweh/wxae035.079","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
200 Adapting the BOHS COVID-19 risk matrix to Avian Influenza. Preparing an animal charity for future outbreaks
Based on a similar exercise carried out by the BOHS in 2020 during the early stages of the COVID-19 pandemic. The BOHS COVID-19 risk matrix was adapted to provide an animal charity with an Avian Influenza (AI) risk management tool. The charity staff handle sick and dead birds in the wild (symptoms of AI may not be immediately apparent) and at their animal treatment and housing centres. This tool guides the employer in determining appropriate control measures to help reduce the risk of their staff, and also the public, from being infected with AI. Although there is currently limited evidence of transference to humans and the risk appears to be low, this could change in the not too distant future. Cross species infections are predicted to increase with the habitat pressures brought about by climate change. Therefore this AI risk matrix has been developed as a precautionary approach. The approach recognises the pitfalls of reliance on PPE alone and endeavours to promote a preventative approach built on good occupational hygiene practice. Given the variety and complexity of the workplace, the AI risk matrix provides an initial reference for control measures, risk evaluation, and grouped job roles to help the employer make balanced decisions and decide what are the reasonable precautions. Acknowledgements- Authors of the BOHS COVID-19 risk matrix Kelvin Williams BSc(Hons) DipOH CFFOH Dr Mangala Patil-Mead
期刊介绍:
About the Journal
Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?"
We are interested in high quality scientific research addressing:
the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures;
the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities;
populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers;
the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems;
policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities;
methodologies and mechanisms that underlie the quantification and/or control of exposure and risk.
There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.