Rory Thompson, James Gareth Wood, Stefano Tempia, David John Muscatello
{"title":"季节性流感早期流行增长率和繁殖数量的全球变化。","authors":"Rory Thompson, James Gareth Wood, Stefano Tempia, David John Muscatello","doi":"10.1016/j.ijid.2022.06.022","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Little is known about global variation in early epidemic growth rates and effective reproduction numbers (R<sub>e</sub>) of seasonal influenza. We aimed to estimate global variation in R<sub>e</sub> of influenza type A and B during a single period.</p><p><strong>Methods: </strong>Country influenza detection time series from September 2017 through January 2019 were obtained from an international database. Type A and B epidemics by country were selected on the basis of R<sub>e</sub> estimates for a five-week moving window, advanced by week. Associations of R<sub>e</sub> with absolute latitude, human development index, percent of the population aged <15 years, and percent of those living in rural areas in each country were assessed.</p><p><strong>Results: </strong>Time series were included for 119 of 169 available countries. There were 100 countries with influenza A and 79 with B epidemics. Median R<sub>e</sub> for both influenza A and B epidemics was 1.23 (ranges: A 1.10, 1.60; B 1.06, 1.58). R<sub>e</sub> of influenza B but not A was independently associated with absolute latitude, increasing by 0.022 (95% confidence interval 0.002, 0.043) per 10 degrees.</p><p><strong>Conclusion: </strong>The R<sub>e</sub> of influenza A and B were similar. Only the R<sub>e</sub> of influenza B was associated with country characteristics, which was increasing with distance from the equator. The approach may be suitable for continuous R<sub>e</sub> surveillance.</p>","PeriodicalId":505767,"journal":{"name":"International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases","volume":" ","pages":"382-388"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Global variation in early epidemic growth rates and reproduction number of seasonal influenza.\",\"authors\":\"Rory Thompson, James Gareth Wood, Stefano Tempia, David John Muscatello\",\"doi\":\"10.1016/j.ijid.2022.06.022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Little is known about global variation in early epidemic growth rates and effective reproduction numbers (R<sub>e</sub>) of seasonal influenza. We aimed to estimate global variation in R<sub>e</sub> of influenza type A and B during a single period.</p><p><strong>Methods: </strong>Country influenza detection time series from September 2017 through January 2019 were obtained from an international database. Type A and B epidemics by country were selected on the basis of R<sub>e</sub> estimates for a five-week moving window, advanced by week. Associations of R<sub>e</sub> with absolute latitude, human development index, percent of the population aged <15 years, and percent of those living in rural areas in each country were assessed.</p><p><strong>Results: </strong>Time series were included for 119 of 169 available countries. There were 100 countries with influenza A and 79 with B epidemics. Median R<sub>e</sub> for both influenza A and B epidemics was 1.23 (ranges: A 1.10, 1.60; B 1.06, 1.58). R<sub>e</sub> of influenza B but not A was independently associated with absolute latitude, increasing by 0.022 (95% confidence interval 0.002, 0.043) per 10 degrees.</p><p><strong>Conclusion: </strong>The R<sub>e</sub> of influenza A and B were similar. Only the R<sub>e</sub> of influenza B was associated with country characteristics, which was increasing with distance from the equator. The approach may be suitable for continuous R<sub>e</sub> surveillance.</p>\",\"PeriodicalId\":505767,\"journal\":{\"name\":\"International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases\",\"volume\":\" \",\"pages\":\"382-388\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.ijid.2022.06.022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/6/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ijid.2022.06.022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/6/17 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Global variation in early epidemic growth rates and reproduction number of seasonal influenza.
Background: Little is known about global variation in early epidemic growth rates and effective reproduction numbers (Re) of seasonal influenza. We aimed to estimate global variation in Re of influenza type A and B during a single period.
Methods: Country influenza detection time series from September 2017 through January 2019 were obtained from an international database. Type A and B epidemics by country were selected on the basis of Re estimates for a five-week moving window, advanced by week. Associations of Re with absolute latitude, human development index, percent of the population aged <15 years, and percent of those living in rural areas in each country were assessed.
Results: Time series were included for 119 of 169 available countries. There were 100 countries with influenza A and 79 with B epidemics. Median Re for both influenza A and B epidemics was 1.23 (ranges: A 1.10, 1.60; B 1.06, 1.58). Re of influenza B but not A was independently associated with absolute latitude, increasing by 0.022 (95% confidence interval 0.002, 0.043) per 10 degrees.
Conclusion: The Re of influenza A and B were similar. Only the Re of influenza B was associated with country characteristics, which was increasing with distance from the equator. The approach may be suitable for continuous Re surveillance.