{"title":"[Theoretical deduction of early warning strategies for emerging infectious diseases].","authors":"J L Tang, L M Li","doi":"10.3760/cma.j.cn112338-20250703-00461","DOIUrl":null,"url":null,"abstract":"<p><p>Although the COVID-19 pandemic has subsided, the risk of the outbreak of new emerging infectious diseases remained constantly present. As such an outbreak can have devastating consequences to the society and economy, development of warning strategies before it takes place is a critical and urgent research task. However, there are currently no validated methods that are both effective and practically feasible for giving pre-outbreak alerts. As such, timely identification and rapid response after an outbreak takes place is still a feasible and effective method for responding to new emerging infectious diseases. The speed and efficiency of the response are largely contingent upon preparedness during the inter-epidemic periods. This paper aims to outline our thinking about the framework for infectious disease early warning and propose some recommendations. Implementation of such a strategy in practice necessitates the establishment of pilot initiatives to test the early warning system according to our proposed principles. These pilots may use severe influenza or hypothetical outbreak scenarios as examples, define warning signals, develop the mechanisms for epidemiological investigation, reporting and response so as to conduct feasibility assessments.</p>","PeriodicalId":23968,"journal":{"name":"中华流行病学杂志","volume":"46 8","pages":"1315-1318"},"PeriodicalIF":0.0000,"publicationDate":"2025-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华流行病学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112338-20250703-00461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Although the COVID-19 pandemic has subsided, the risk of the outbreak of new emerging infectious diseases remained constantly present. As such an outbreak can have devastating consequences to the society and economy, development of warning strategies before it takes place is a critical and urgent research task. However, there are currently no validated methods that are both effective and practically feasible for giving pre-outbreak alerts. As such, timely identification and rapid response after an outbreak takes place is still a feasible and effective method for responding to new emerging infectious diseases. The speed and efficiency of the response are largely contingent upon preparedness during the inter-epidemic periods. This paper aims to outline our thinking about the framework for infectious disease early warning and propose some recommendations. Implementation of such a strategy in practice necessitates the establishment of pilot initiatives to test the early warning system according to our proposed principles. These pilots may use severe influenza or hypothetical outbreak scenarios as examples, define warning signals, develop the mechanisms for epidemiological investigation, reporting and response so as to conduct feasibility assessments.
期刊介绍:
Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.
The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.