Last data update: Apr 28, 2025. (Total: 49156 publications since 2009)
Records 1-2 (of 2 Records) |
Query Trace: Michalove J[original query] |
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Delayed 2009 pandemic influenza A virus subtype H1N1 circulation in West Africa, May 2009-April 2010
Nzussouo NT , Michalove J , Diop OM , Njouom R , Monteiro Mde L , Adje HK , Manoncourt S , Amankwa J , Koivogui L , Sow S , Elkory MB , Collard JM , Dalhatu I , Niang MN , Lafond K , Moniz F , Coulibaly D , Kronman KC , Oyofo BA , Ampofo W , Tamboura B , Bara AO , Jusot JF , Ekanem E , Sarr FD , Hwang I , Cornelius C , Coker B , Lindstrom S , Davis R , Dueger E , Moen A , Widdowson MA . J Infect Dis 2012 206 Suppl 1 S101-7 To understand 2009 pandemic influenza A virus subtype H1N1 (A[H1N1]pdm09) circulation in West Africa, we collected influenza surveillance data from ministries of health and influenza laboratories in 10 countries, including Cameroon, from 4 May 2009 through 3 April 2010. A total of 10,203 respiratory specimens were tested, of which 25% were positive for influenza virus. Until the end of December 2009, only 14% of all detected strains were A(H1N1)pdm09, but the frequency increased to 89% from January through 3 April 2010. Five West African countries did not report their first A(H1N1)pdm09 case until 6 months after the emergence of the pandemic in North America, in April 2009. The time from first detection of A(H1N1)pdm09 in a country to the time of A(H1N1)pdm09 predominance varied from 0 to 37 weeks. Seven countries did not report A(H1N1)pdm09 predominance until 2010. Introduction and transmission of A(H1N1)pdm09 were delayed in this region. |
Epidemiologic and virologic assessment of the 2009 influenza A (H1N1) pandemic on selected temperate countries in the Southern Hemisphere: Argentina, Australia, Chile, New Zealand and South Africa
Van Kerkhove MD , Mounts AW , Mall S , Vandemaele KA , Chamberland M , Dos Santos T , Fitzner J , Widdowson MA , Michalove J , Bresee J , Olsen SJ , Quick L , Baumeister E , Carlino LO , Savy V , Uez O , Owen R , Ghani F , Paterson B , Forde A , Fasce R , Torres G , Andrade W , Bustos P , Mora J , Gonzalez C , Olea A , Sotomayor V , Najera De Ferrari M , Burgos A , Hunt D , Huang QS , Jennings LC , Macfarlane M , Lopez LD , McArthur C , Cohen C , Archer B , Blumberg L , Cengimbo A , Makunga C , McAnerney J , Msimang V , Naidoo D , Puren A , Schoub B , Thomas J , Venter M . Influenza Other Respir Viruses 2011 5 (6) e487-e498 INTRODUCTION AND SETTING: Our analysis compares the most comprehensive epidemiologic and virologic surveillance data compiled to date for laboratory-confirmed H1N1pdm patients between 1 April 2009 - 31 January 2010 from five temperate countries in the Southern Hemisphere-Argentina, Australia, Chile, New Zealand, and South Africa. OBJECTIVE: We evaluate transmission dynamics, indicators of severity, and describe the co-circulation of H1N1pdm with seasonal influenza viruses. RESULTS: In the five countries, H1N1pdm became the predominant influenza strain within weeks of initial detection. South Africa was unique, first experiencing a seasonal H3N2 wave, followed by a distinct H1N1pdm wave. Compared with the 2007 and 2008 influenza seasons, the peak of influenza-like illness (ILI) activity in four of the five countries was 3-6 times higher with peak ILI consultation rates ranging from 35/1,000 consultations/week in Australia to 275/100,000 population/week in New Zealand. Transmission was similar in all countries with the reproductive rate ranging from 1.2-1.6. The median age of patients in all countries increased with increasing severity of disease, 4-14% of all hospitalized cases required critical care, and 26-68% of fatal patients were reported to have ≥1 chronic medical condition. Compared with seasonal influenza, there was a notable downward shift in age among severe cases with the highest population-based hospitalization rates among children <5 years old. National population-based mortality rates ranged from 0.8-1.5/100,000. CONCLUSIONS: The difficulty experienced in tracking the progress of the pandemic globally, estimating its severity early on, and comparing information across countries argues for improved routine surveillance and standardization of investigative approaches and data reporting methods. |
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