{"title":"伊朗东南部地区绵羊、山羊、牛和骆驼布鲁氏菌病的贝叶斯真实流行率估计。","authors":"Eleftherios Meletis, Ehsanollah Sakhaee, Polychronis Kostoulas","doi":"10.1111/zph.13095","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims and Methods</h3>\n \n <p>Brucellosis is worldwide one of the most prevalent zoonotic diseases with serious public health hazard affecting domestic livestock and causing economic losses. Objective of this study is to estimate the true prevalence of brucellosis in livestock, specifically cattle, sheep, goats and camels, using a novel Bayesian latent class model, adjusting for the imperfect sensitivity and specificity of the applied tests, where the second test was restricted only to first test-positive samples.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Brucellosis seems more prevalent in goats and sheep, while the posterior medians and 95% probability intervals (95% PI) for the average true prevalence for sheep, goats, cattle and camels are 18% (4%–43%), 19% (7%–37%), 16% (5%–34%) and 18% (1%–48%) respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The study results indicate that brucellosis is highly endemic in Iran and crucial steps are needed to control and raise awareness about the high public health concern of the disease.</p>\n </section>\n </div>","PeriodicalId":24025,"journal":{"name":"Zoonoses and Public Health","volume":"71 2","pages":"170-177"},"PeriodicalIF":2.4000,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/zph.13095","citationCount":"0","resultStr":"{\"title\":\"Bayesian true prevalence estimation of brucellosis in sheep, goats, cattle and camels in southeast regions of Iran\",\"authors\":\"Eleftherios Meletis, Ehsanollah Sakhaee, Polychronis Kostoulas\",\"doi\":\"10.1111/zph.13095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims and Methods</h3>\\n \\n <p>Brucellosis is worldwide one of the most prevalent zoonotic diseases with serious public health hazard affecting domestic livestock and causing economic losses. Objective of this study is to estimate the true prevalence of brucellosis in livestock, specifically cattle, sheep, goats and camels, using a novel Bayesian latent class model, adjusting for the imperfect sensitivity and specificity of the applied tests, where the second test was restricted only to first test-positive samples.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Brucellosis seems more prevalent in goats and sheep, while the posterior medians and 95% probability intervals (95% PI) for the average true prevalence for sheep, goats, cattle and camels are 18% (4%–43%), 19% (7%–37%), 16% (5%–34%) and 18% (1%–48%) respectively.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The study results indicate that brucellosis is highly endemic in Iran and crucial steps are needed to control and raise awareness about the high public health concern of the disease.</p>\\n </section>\\n </div>\",\"PeriodicalId\":24025,\"journal\":{\"name\":\"Zoonoses and Public Health\",\"volume\":\"71 2\",\"pages\":\"170-177\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/zph.13095\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zoonoses and Public Health\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/zph.13095\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zoonoses and Public Health","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/zph.13095","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Bayesian true prevalence estimation of brucellosis in sheep, goats, cattle and camels in southeast regions of Iran
Aims and Methods
Brucellosis is worldwide one of the most prevalent zoonotic diseases with serious public health hazard affecting domestic livestock and causing economic losses. Objective of this study is to estimate the true prevalence of brucellosis in livestock, specifically cattle, sheep, goats and camels, using a novel Bayesian latent class model, adjusting for the imperfect sensitivity and specificity of the applied tests, where the second test was restricted only to first test-positive samples.
Results
Brucellosis seems more prevalent in goats and sheep, while the posterior medians and 95% probability intervals (95% PI) for the average true prevalence for sheep, goats, cattle and camels are 18% (4%–43%), 19% (7%–37%), 16% (5%–34%) and 18% (1%–48%) respectively.
Conclusions
The study results indicate that brucellosis is highly endemic in Iran and crucial steps are needed to control and raise awareness about the high public health concern of the disease.
期刊介绍:
Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.