Influenza and the work of the World Health Organization
- PMID: 12110248
- DOI: 10.1016/s0264-410x(02)00121-4
Influenza and the work of the World Health Organization
Abstract
Before World War I, influenza was not considered a particularly serious problem. The great pandemic of 1918-1919 changed all that, and the possibility that such a catastrophe could occur again has conditioned all subsequent developments. In epidemiological terms, the hallmark of an influenza is the excess mortality that it causes combined with an enormous burden of ill-health that saps the energy of individuals, families and communities throughout the whole world. In order to engage in influenza prevention and control, the global influenza surveillance network was set up by World Health Organization (WHO) in 1948 as a worldwide alert system for the identification of new influenza viruses, gathering information from 110 participating laboratories in 82 countries and four WHO Collaborating Centers for Influenza reference and research: Centers for Disease Control and Prevention, Atlanta (USA), National Institute for Medical Research, London (UK), WHO Collaborating Centre for Influenza Reference and Research, Melbourne (Australia) and the National Institute for Infectious Diseases, Tokyo (Japan). This network helps WHO to monitor influenza activity all over the world and provides the organization with the viral isolates and information it requires to decide which new virus strains will be used to produce influenza vaccines during the following season. Each year, information about the isolates over the previous 12 months is analyzed and used to determine the composition of the influenza vaccine to be administered during the coming influenza season both for the northern and southern hemisphere. If necessary, the recommendations for the southern hemisphere differ from the ones formulated for the northern hemisphere vaccine. The information supplied by this network enables the organization to regularly update its World Wide Web (WWW) site (FluNet), which reports on the situation of diseases. This network will also enable the WHO to detect a new influenza pandemic as early as possible.
Similar articles
-
[Influenza surveillance and control program of WHO].Nihon Rinsho. 2000 Nov;58(11):2175-8. Nihon Rinsho. 2000. PMID: 11225300 Review. Japanese.
-
[Various sides of influenza. Part II--epidemiology, influenza surveillance and prophylaxis].Pol Merkur Lekarski. 2006 Sep;21(123):277-85. Pol Merkur Lekarski. 2006. PMID: 17163191 Review. Polish.
-
Influenza: global surveillance for epidemic and pandemic variants.Eur J Epidemiol. 1994 Aug;10(4):467-70. doi: 10.1007/BF01719678. Eur J Epidemiol. 1994. PMID: 7843358
-
Surveillance for influenza--United States, 1997-98, 1998-99, and 1999-00 seasons.MMWR Surveill Summ. 2002 Oct 25;51(7):1-10. MMWR Surveill Summ. 2002. PMID: 12418623
-
Influenza virus vaccine live intranasal--MedImmune vaccines: CAIV-T, influenza vaccine live intranasal.Drugs R D. 2003;4(5):312-9. doi: 10.2165/00126839-200304050-00007. Drugs R D. 2003. PMID: 12952502 Review.
Cited by
-
Spatial, temporal and evolutionary insight into seasonal epidemic Influenza A virus strains near the equatorial line: The case of Ecuador.Virus Res. 2023 Mar;326:199051. doi: 10.1016/j.virusres.2023.199051. Epub 2023 Jan 24. Virus Res. 2023. PMID: 36706806 Free PMC article.
-
Modulation of signaling pathways by RNA virus capsid proteins.Cell Signal. 2008 Jul;20(7):1227-36. doi: 10.1016/j.cellsig.2007.12.018. Epub 2008 Jan 4. Cell Signal. 2008. PMID: 18258415 Free PMC article. Review.
-
Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance.J Clin Med. 2024 Mar 27;13(7):1946. doi: 10.3390/jcm13071946. J Clin Med. 2024. PMID: 38610711 Free PMC article.
-
Challenges in antigenic characterization of circulating influenza A(H3N2) viruses during the 2011-2012 influenza season: an ongoing problem?J Clin Microbiol. 2015 May;53(5):1493-9. doi: 10.1128/JCM.03236-14. Epub 2015 Feb 18. J Clin Microbiol. 2015. PMID: 25694524 Free PMC article.
-
Accurate influenza forecasts using type-specific incidence data for small geographic units.PLoS Comput Biol. 2021 Jul 29;17(7):e1009230. doi: 10.1371/journal.pcbi.1009230. eCollection 2021 Jul. PLoS Comput Biol. 2021. PMID: 34324487 Free PMC article.
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical