BACKGROUND: Wisconsin was severely affected by pandemic waves of 2009 influenza A H1N1 infection during the period 15 April through 30 August 2009 (wave 1) and 31 August 2009 through 2 January 2010 (wave 2). METHODS: To evaluate differences in epidemiologic features and outcomes during these pandemic waves, we examined prospective surveillance data on Wisconsin residents who were hospitalized ≥ 24 h with or died of pandemic H1N1 infection. RESULTS: Rates of hospitalizations and deaths from pandemic H1N1 infection in Wisconsin increased 4- and 5-fold, respectively, from wave 1 to wave 2; outside Milwaukee, hospitalization and death rates increased 10- and 8-fold, respectively. Hospitalization rates were highest among racial and ethnic minorities and children during wave 1 and increased most during wave 2 among non-Hispanic whites and adults. Times to hospital admission and antiviral treatment improved between waves, but the overall hospital course remained similar, with no change in hospitalization duration, intensive care unit admission, requirement for mechanical ventilation, or mortality. CONCLUSIONS: We report broader geographic spread and marked demographic differences during pandemic wave 2, compared with wave 1, although clinical outcomes were similar. Our findings emphasize the importance of using comprehensive surveillance data to detect changing characteristics and impacts during an influenza pandemic and of vigorously promoting influenza vaccination and other prevention efforts.
BACKGROUND: Wisconsin was severely affected by pandemic waves of 2009 influenza A H1N1infection during the period 15 April through 30 August 2009 (wave 1) and 31 August 2009 through 2 January 2010 (wave 2). METHODS: To evaluate differences in epidemiologic features and outcomes during these pandemic waves, we examined prospective surveillance data on Wisconsin residents who were hospitalized ≥ 24 h with or died of pandemic H1N1 infection. RESULTS: Rates of hospitalizations and deaths from pandemic H1N1 infection in Wisconsin increased 4- and 5-fold, respectively, from wave 1 to wave 2; outside Milwaukee, hospitalization and death rates increased 10- and 8-fold, respectively. Hospitalization rates were highest among racial and ethnic minorities and children during wave 1 and increased most during wave 2 among non-Hispanic whites and adults. Times to hospital admission and antiviral treatment improved between waves, but the overall hospital course remained similar, with no change in hospitalization duration, intensive care unit admission, requirement for mechanical ventilation, or mortality. CONCLUSIONS: We report broader geographic spread and marked demographic differences during pandemic wave 2, compared with wave 1, although clinical outcomes were similar. Our findings emphasize the importance of using comprehensive surveillance data to detect changing characteristics and impacts during an influenza pandemic and of vigorously promoting influenza vaccination and other prevention efforts.
Authors: Rogelio Perez-Padilla; Daniela de la Rosa-Zamboni; Samuel Ponce de Leon; Mauricio Hernandez; Francisco Quiñones-Falconi; Edgar Bautista; Alejandra Ramirez-Venegas; Jorge Rojas-Serrano; Christopher E Ormsby; Ariel Corrales; Anjarath Higuera; Edgar Mondragon; Jose Angel Cordova-Villalobos Journal: N Engl J Med Date: 2009-06-29 Impact factor: 91.245
Authors: Janice K Louie; Meileen Acosta; Kathleen Winter; Cynthia Jean; Shilpa Gavali; Robert Schechter; Duc Vugia; Kathleen Harriman; Bela Matyas; Carol A Glaser; Michael C Samuel; Jon Rosenberg; John Talarico; Douglas Hatch Journal: JAMA Date: 2009-11-04 Impact factor: 56.272
Authors: Simon Cauchemez; Christl A Donnelly; Carrie Reed; Azra C Ghani; Christophe Fraser; Charlotte K Kent; Lyn Finelli; Neil M Ferguson Journal: N Engl J Med Date: 2009-12-31 Impact factor: 91.245
Authors: Simon Cauchemez; Neil M Ferguson; Claude Wachtel; Anders Tegnell; Guillaume Saour; Ben Duncan; Angus Nicoll Journal: Lancet Infect Dis Date: 2009-08 Impact factor: 25.071
Authors: Gerardo Chowell; Santiago Echevarría-Zuno; Cécile Viboud; Lone Simonsen; Mark A Miller; Irma Fernández-Gárate; Cesar González-Bonilla; Víctor H Borja-Aburto Journal: PLoS One Date: 2012-07-16 Impact factor: 3.240