Lisa Staadegaard, Marco Del Riccio, Susanne Heemskerk, Michel Dückers, Rodrigo A. Fasce, Patricia Bustos, Q. Sue Huang, Cheryl Cohen, Jocelyn Moyes, Vernon Jian Ming Lee, Li Wei Ang, Susana Monge, Isabel Martínez-Pino, Mathieu Bangert, Rolf Kramer, John Paget, Foekje F. Stelma, Jojanneke van Summeren, Saverio Caini
{"title":"评估不同方法对RSV流行时间和持续时间的影响:来自住院和社区护理中RSV全球流行病学研究的监测数据分析","authors":"Lisa Staadegaard, Marco Del Riccio, Susanne Heemskerk, Michel Dückers, Rodrigo A. Fasce, Patricia Bustos, Q. Sue Huang, Cheryl Cohen, Jocelyn Moyes, Vernon Jian Ming Lee, Li Wei Ang, Susana Monge, Isabel Martínez-Pino, Mathieu Bangert, Rolf Kramer, John Paget, Foekje F. Stelma, Jojanneke van Summeren, Saverio Caini","doi":"10.1111/irv.70123","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>We previously reviewed methods for estimating the timing of respiratory syncytial virus (RSV) epidemics. This study examines the impact of various estimation methods on determining the start, end, duration, and capture rate of RSV epidemics.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We applied eight estimation methods to RSV surveillance data from the Global Epidemiology of RSV (GERi) study, covering Chile, New Zealand, Singapore, South Africa, Spain, and the United States: 3% and 10% positivity rate, moving epidemic method (MEM), mean positivity, 1.2% total detections, mean and 60% mean number, and 75% average annual percentage (AAP). We compared the median start, end, duration, and capture rate of RSV epidemics obtained from these methods.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Within countries, the median duration of RSV epidemics varied by over 10 weeks, and the median capture rates ranged from > 95 to < 60%, depending on the estimation method. Generally, the 3% positivity rate method identified the longest RSV epidemics (earliest median start and latest end, and highest capture rate). The 10% positivity rate, MEM, and 75% AAP methods indicated the shortest RSV epidemics with the lowest capture rate. The remaining four methods produced intermediate results.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>These findings underscore the importance of selecting estimation methods suited to the surveillance system and the intended use, whether for outbreak alert, planning, or targeted interventions.</p>\n </section>\n </div>","PeriodicalId":13544,"journal":{"name":"Influenza and Other Respiratory Viruses","volume":"19 6","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/irv.70123","citationCount":"0","resultStr":"{\"title\":\"Evaluating the Impact of Different Methods on the Timing and Duration of RSV Epidemics: Analysis of Surveillance Data From the GERi (Global Epidemiology of RSV in Hospitalized and Community Care) Study\",\"authors\":\"Lisa Staadegaard, Marco Del Riccio, Susanne Heemskerk, Michel Dückers, Rodrigo A. Fasce, Patricia Bustos, Q. Sue Huang, Cheryl Cohen, Jocelyn Moyes, Vernon Jian Ming Lee, Li Wei Ang, Susana Monge, Isabel Martínez-Pino, Mathieu Bangert, Rolf Kramer, John Paget, Foekje F. Stelma, Jojanneke van Summeren, Saverio Caini\",\"doi\":\"10.1111/irv.70123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>We previously reviewed methods for estimating the timing of respiratory syncytial virus (RSV) epidemics. This study examines the impact of various estimation methods on determining the start, end, duration, and capture rate of RSV epidemics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>We applied eight estimation methods to RSV surveillance data from the Global Epidemiology of RSV (GERi) study, covering Chile, New Zealand, Singapore, South Africa, Spain, and the United States: 3% and 10% positivity rate, moving epidemic method (MEM), mean positivity, 1.2% total detections, mean and 60% mean number, and 75% average annual percentage (AAP). We compared the median start, end, duration, and capture rate of RSV epidemics obtained from these methods.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Within countries, the median duration of RSV epidemics varied by over 10 weeks, and the median capture rates ranged from > 95 to < 60%, depending on the estimation method. Generally, the 3% positivity rate method identified the longest RSV epidemics (earliest median start and latest end, and highest capture rate). The 10% positivity rate, MEM, and 75% AAP methods indicated the shortest RSV epidemics with the lowest capture rate. The remaining four methods produced intermediate results.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>These findings underscore the importance of selecting estimation methods suited to the surveillance system and the intended use, whether for outbreak alert, planning, or targeted interventions.</p>\\n </section>\\n </div>\",\"PeriodicalId\":13544,\"journal\":{\"name\":\"Influenza and Other Respiratory Viruses\",\"volume\":\"19 6\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/irv.70123\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Influenza and Other Respiratory Viruses\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/irv.70123\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Influenza and Other Respiratory Viruses","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/irv.70123","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Evaluating the Impact of Different Methods on the Timing and Duration of RSV Epidemics: Analysis of Surveillance Data From the GERi (Global Epidemiology of RSV in Hospitalized and Community Care) Study
Background
We previously reviewed methods for estimating the timing of respiratory syncytial virus (RSV) epidemics. This study examines the impact of various estimation methods on determining the start, end, duration, and capture rate of RSV epidemics.
Methods
We applied eight estimation methods to RSV surveillance data from the Global Epidemiology of RSV (GERi) study, covering Chile, New Zealand, Singapore, South Africa, Spain, and the United States: 3% and 10% positivity rate, moving epidemic method (MEM), mean positivity, 1.2% total detections, mean and 60% mean number, and 75% average annual percentage (AAP). We compared the median start, end, duration, and capture rate of RSV epidemics obtained from these methods.
Results
Within countries, the median duration of RSV epidemics varied by over 10 weeks, and the median capture rates ranged from > 95 to < 60%, depending on the estimation method. Generally, the 3% positivity rate method identified the longest RSV epidemics (earliest median start and latest end, and highest capture rate). The 10% positivity rate, MEM, and 75% AAP methods indicated the shortest RSV epidemics with the lowest capture rate. The remaining four methods produced intermediate results.
Conclusions
These findings underscore the importance of selecting estimation methods suited to the surveillance system and the intended use, whether for outbreak alert, planning, or targeted interventions.
期刊介绍:
Influenza and Other Respiratory Viruses is the official journal of the International Society of Influenza and Other Respiratory Virus Diseases - an independent scientific professional society - dedicated to promoting the prevention, detection, treatment, and control of influenza and other respiratory virus diseases.
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