{"title":"Dynamic Modeling of Prevention and Control of Brucellosis in China: A Systematic Review","authors":"Liu Yang, Meng Fan, Youming Wang","doi":"10.1155/tbed/1393722","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Brucellosis is a zoonotic infectious disease caused by bacteria of the genus Brucella. In recent years, the prevalence of brucellosis in animals and humans has been increasing in China despite the considerable efforts taken to date. Dynamic model serves as an influential and promising approach for offering guidance and recommendations for the prevention and control of the disease. At this pivotal moment, it is time to provide a comprehensive and timely examination of the existing achievements derived from the mathematical dynamical modeling studies, highlight the key development trends, delve into identifying the limitations of the studies, and offer valuable perspectives and insights for potential future research directions. Through a review of 49 articles (22 articles utilizing data while 27 articles did not use data), this study focuses on analyzing the differences in model structure, research data and areas, characterization of prevention and control measures, and main results. Meanwhile, quantitative results such as the reproduction number and critical parameter values are extracted. The study points out that the limitations of existing models are manifested in the lack of heterogeneity in the research and the absence of the results on the scale of herd/flock. The primary reason is the lack of relevant data, indicating the necessity to advance interdisciplinary, multidisciplinary, and transdisciplinary collaboration across multiple departments. Therefore, it is encouraged that the future models should be established from the holistic approach of One Health.</p>\n </div>","PeriodicalId":234,"journal":{"name":"Transboundary and Emerging Diseases","volume":"2025 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/tbed/1393722","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transboundary and Emerging Diseases","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/tbed/1393722","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
引用次数: 0
Abstract
Brucellosis is a zoonotic infectious disease caused by bacteria of the genus Brucella. In recent years, the prevalence of brucellosis in animals and humans has been increasing in China despite the considerable efforts taken to date. Dynamic model serves as an influential and promising approach for offering guidance and recommendations for the prevention and control of the disease. At this pivotal moment, it is time to provide a comprehensive and timely examination of the existing achievements derived from the mathematical dynamical modeling studies, highlight the key development trends, delve into identifying the limitations of the studies, and offer valuable perspectives and insights for potential future research directions. Through a review of 49 articles (22 articles utilizing data while 27 articles did not use data), this study focuses on analyzing the differences in model structure, research data and areas, characterization of prevention and control measures, and main results. Meanwhile, quantitative results such as the reproduction number and critical parameter values are extracted. The study points out that the limitations of existing models are manifested in the lack of heterogeneity in the research and the absence of the results on the scale of herd/flock. The primary reason is the lack of relevant data, indicating the necessity to advance interdisciplinary, multidisciplinary, and transdisciplinary collaboration across multiple departments. Therefore, it is encouraged that the future models should be established from the holistic approach of One Health.
期刊介绍:
Transboundary and Emerging Diseases brings together in one place the latest research on infectious diseases considered to hold the greatest economic threat to animals and humans worldwide. The journal provides a venue for global research on their diagnosis, prevention and management, and for papers on public health, pathogenesis, epidemiology, statistical modeling, diagnostics, biosecurity issues, genomics, vaccine development and rapid communication of new outbreaks. Papers should include timely research approaches using state-of-the-art technologies. The editors encourage papers adopting a science-based approach on socio-economic and environmental factors influencing the management of the bio-security threat posed by these diseases, including risk analysis and disease spread modeling. Preference will be given to communications focusing on novel science-based approaches to controlling transboundary and emerging diseases. The following topics are generally considered out-of-scope, but decisions are made on a case-by-case basis (for example, studies on cryptic wildlife populations, and those on potential species extinctions):
Pathogen discovery: a common pathogen newly recognised in a specific country, or a new pathogen or genetic sequence for which there is little context about — or insights regarding — its emergence or spread.
Prevalence estimation surveys and risk factor studies based on survey (rather than longitudinal) methodology, except when such studies are unique. Surveys of knowledge, attitudes and practices are within scope.
Diagnostic test development if not accompanied by robust sensitivity and specificity estimation from field studies.
Studies focused only on laboratory methods in which relevance to disease emergence and spread is not obvious or can not be inferred (“pure research” type studies).
Narrative literature reviews which do not generate new knowledge. Systematic and scoping reviews, and meta-analyses are within scope.