996 resultados para Gripe A(H1N1) 2009


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A recente pandemia de gripe de 2009/2010 causada pelo vírus A (H1N1) pandêmico mostrou um perfil de gravidade diferente da gripe sazonal, pois um percentual considerável de casos graves e fatais ocorreu em indivíduos adultos jovens, sem comorbidade. A virulência dos vírus Influenza A (H1N1) pandêmico resulta de interações protéicas complexas e depende essencialmente de alguns genes virais. O objetivo deste estudo foi caracterizar os genes codificadores da hemaglutinina (H1) e polimerase básica 2 (PB2) do vírus Influenza A (H1N1) pandêmico mediante a obtenção de cepas provenientes de pacientes com gripe procedente da mesorregião metropolitana de Belém-PA. O tamanho amostral foi constituído de 87 amostras aleatórias de ambos os sexos de 0 a 96 anos, com síndrome respiratória aguda grave (SRAG) sem nenhuma comorbidade relatada, no período de maio de 2009 a agosto de 2010. As amostras foram isoladas em cultura de célula MDCK e analisadas por técnicas de biologia molecular que compreenderam três etapas principais: a) extração do RNA viral (RNAv) a partir do sobrenadante celular; b) amplificação do RNAv pela técnica de Reação em Cadeia mediada pela Polimerase precedida de Transcrição Reversa (RT-PCR); c) sequenciamento completo dos genes codificadores da H1 e PB2. Das 87 cepas amplificadas pelo RT-PCR, em 82 tornou-se possível a obtenção e análise de sequências para o gene HA, enquanto que de 81 amostras virais obteve-se sequências para o gene PB2. A análise comparativa das sequências obtidas com a sequência da cepa vacinal (A/California/07/2009(H1N1)) revelou substituições aminoacídicas na HA (P83S; D97N; S203T; D222G; Q293H e I321V) e na PB2 (K340N; K526R e M631L), no entanto sem associação a hospitalização. Ao nível de substituição na HA, a D97N isolada ou associada com a S203T, foi detectada com mais frequência na primeira onda. Já ao nível da PB2 a substituição K526R foi mais encontrada em cepas que circularam na primeira onda, enquanto que, a M631L foi mais evidenciada na segunda. A substituição D222G na HA só foi encontrada em casos de óbitos. Por fim, observou-se uma tendência de alterações nos sítios antigênicos da HA. Sendo assim, a contínua vigilância genética e antigênica do vírus Influenza A (H1N1) pdm em circulação, bem como o compartilhamento de informações é de extrema importância para a melhor recomendação possível para os vírus que entram na composição vacinal evitando assim maior risco de epidemias severas no futuro.

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Despite the severity of pneumonia in patients with pandemic influenza A infection (H1N1), no validated risk scores associated with H1N1 pneumonia were tested. In this prospective observational study, we analyzed data of consecutive patients in our emergency room, hospitalized because of pneumonia between July and August 2009 in a public hospital in Brazil. The following pneumonia scoring systems were applied: the SMART-COP rule; the Pneumonia Severity Index; and the CURB-65 rule. Of 105 patients with pneumonia, 53 had H1N1 infection. Among them, only 9.5% that had a low risk according to SMART-COP were admitted to ICU, compared with 36.8% of those with the Pneumonia Severity Index score of 1-2 and 49% of those with CURB-65 score of 0-1. The SMART-COP had an accuracy of 83% to predict ICU admission. The SMART-COP rule presented the best performance to indicate ICU admission in patients with H1N1 pneumonia. European Journal of Emergency Medicine 19: 200-202 (C) 2012 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.

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The 2009 pandemic A/H1N1 influenza outbreak represented a theoretical risk for patients with autoimmune diseases (AID), especially those immunosuppressed. This study was undertaken to evaluate immunogenicity and tolerance of seasonal (SFV) and A/H1N1 flu vaccines (HFV) in AID patients.

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The aim of this study was to determine if severity assessment tools (general severity of illness and community-acquired pneumonia specific scores) can be used to guide decisions for patients admitted to the intensive care unit (ICU) due to pandemic influenza A pneumonia. A prospective, observational, multicentre study included 265 patients with a mean age of 42 (±16.1) years and an ICU mortality of 31.7%. On admission to the ICU, the mean pneumonia severity index (PSI) score was 103.2 ± 43.2 points, the CURB-65 score was 1.7 ± 1.1 points and the PIRO-CAP score was 3.2 ± 1.5 points. None of the scores had a good predictive ability: area under the ROC for PSI, 0.72 (95% CI, 0.65-0.78); CURB-65, 0.67 (95% CI, 0.59-0.74); and PIRO-CAP, 0.64 (95% CI, 0.56-0.71). The PSI score (OR, 1.022 (1.009-1.034), p 0.001) was independently associated with ICU mortality; however, none of the three scores, when used at ICU admission, were able to reliably detect a low-risk group of patients. Low risk for mortality was identified in 27.5% of patients using PIRO-CAP, but above 40% when using PSI (I-III) or CURB65 (<2). Observed mortality was 13.7%, 13.5% and 19.4%, respectively. Pneumonia-specific scores undervalued severity and should not be used as instruments to guide decisions in the ICU.

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This study retrospectively evaluated the spatial and temporal disease patterns associated with influenza-like illness (ILI), positive rapid influenza antigen detection tests (RIDT), and confirmed H1N1 S-OIV cases reported to the Cameron County Department of Health and Human Services between April 26 and May 13, 2009 using the space-time permutation scan statistic software SaTScan in conjunction with geographical information system (GIS) software ArcGIS 9.3. The rate and age-adjusted relative risk of each influenza measure was calculated and a cluster analysis was conducted to determine the geographic regions with statistically higher incidence of disease. A Poisson distribution model was developed to identify the effect that socioeconomic status, population density, and certain population attributes of a census block-group had on that area's frequency of S-OIV confirmed cases over the entire outbreak. Predominant among the spatiotemporal analyses of ILI, RIDT and S-OIV cases in Cameron County is the consistent pattern of a high concentration of cases along the southern border with Mexico. These findings in conjunction with the slight northward space-time shifts of ILI and RIDT cluster centers highlight the southern border as the primary site for public health interventions. Finally, the community-based multiple regression model revealed that three factors—percentage of the population under age 15, average household size, and the number of high school graduates over age 25—were significantly associated with laboratory-confirmed S-OIV in the Lower Rio Grande Valley. Together, these findings underscore the need for community-based surveillance, improve our understanding of the distribution of the burden of influenza within the community, and have implications for vaccination and community outreach initiatives.^

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This cross-sectional study is based on the qualitative and quantitative research design to review health policy decisions, their practice and implications during 2009 H1N1 influenza pandemic in the United States and globally. The “Future Pandemic Influenza Control (FPIC) related Strategic Management Plan” was developed based on the incorporation of the “National Strategy for Pandemic Influenza (2005)” for the United States from the U.S. Homeland Security Council and “The Canadian Pandemic Influenza Plan for the Health Sector (2006)” from the Canadian Pandemic Influenza Committee for use by the public health agencies in the United States as well as globally. The “global influenza experts’ survey” was primarily designed and administered via email through the “Survey Monkey” system to the 2009 H1N1 influenza pandemic experts as the study respondents. The effectiveness of this plan was confirmed and the approach of the study questionnaire was validated to be convenient and the excellent quality of the questions provided an efficient opportunity to the study respondents to evaluate the effectiveness of predefined strategies/interventions for future pandemic influenza control.^ The quantitative analysis of the responses to the Likert-scale based questions in the survey about predefined strategies/interventions, addressing five strategic issues to control future pandemic influenza. The effectiveness of strategies defined as pertinent interventions in this plan was evaluated by targeting five strategic issues regarding pandemic influenza control. For the first strategic issue pertaining influenza prevention and pre pandemic planning; the confirmed effectiveness (agreement) for strategy (1a) 87.5%, strategy (1b) 91.7% and strategy (1c) 83.3%. The assessment of the priority level for strategies to address the strategic issue no. (1); (1b (High Priority) > 1a (Medium Priority) > 1c (Low Priority) based on the available resources of the developing and developed countries. For the second Strategic Issue encompassing the preparedness and communication regarding pandemic influenza control; the confirmed effectiveness (agreement) for the strategy (2a) 95.6%, strategy (2b) 82.6%, strategy (2c) 91.3% and Strategy (2d) 87.0%. The assessment of the priority level for these strategies to address the strategic issue no. (2); (2a (highest priority) > 2c (high priority) >2d (medium priority) > 2b (low priority). For the third strategic issue encompassing the surveillance and detection of pandemic influenza; the confirmed effectiveness (agreement) for the strategy (3a) 90.9% and strategy (3b) 77.3%. The assessment of the priority level for theses strategies to address the strategic Issue No. (3) (3a (high priority) > 3b (medium/low priority). For the fourth strategic issue pertaining the response and containment of pandemic influenza; the confirmed effectiveness (agreement) for the strategy (4a) 63.6%, strategy (4b) 81.8%, strategy (4c) 86.3%, and strategy (4d) 86.4%. The assessment of the priority level for these strategies to address the strategic issue no. (4); (4d (highest priority) > 4c (high priority) > 4b (medium priority) > 4a (low priority). The fifth strategic issue about recovery from influenza and post pandemic planning; the confirmed effectiveness (agreement) for the strategy (5a) 68.2%, strategy (5b) 36.3% and strategy (5c) 40.9%. The assessment of the priority level for strategies to address the strategic issue no. (5); (5a (high priority) > 5c (medium priority) > 5b (low priority).^ The qualitative analysis of responses to the open-ended questions in the study questionnaire was performed by means of thematic content analysis. The following recurrent or common “themes” were determined for the future implementation of various predefined strategies to address five strategic issues from the “FPIC related Strategic Management Plan” to control future influenza pandemics. (1) Pre Pandemic Influenza Prevention, (2) Seasonal Influenza Control, (3) Cost Effectiveness of Non Pharmaceutical Interventions (NPI), (4) Raising Global Public Awareness, (5) Global Influenza Vaccination Campaigns, (6)Priority for High Risk Population, (7) Prompt Accessibility and Distribution of Influenza Vaccines and Antiviral Drugs, (8) The Vital Role of Private Sector, (9) School Based Influenza Containment, (10) Efficient Global Risk Communication, (11) Global Research Collaboration, (12) The Critical Role of Global Public Health Organizations, (13) Global Syndromic Surveillance and Surge Capacity and (14) Post Pandemic Recovery and Lessons Learned. The future implementation of these strategies with confirmed effectiveness to primarily “reduce the overall response time’ in the process of ‘early detection’, ‘strategies (interventions) formulation’ and their ‘implementation’ to eventually ensure the following health outcomes: (a) reduced influenza transmission, (b) prompt and effective influenza treatment and control, (c) reduced influenza related morbidity and mortality.^

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Fil: Attorri, Silvia. Universidad Nacional de Cuyo. Facultad de Ciencias Médicas

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BACKGROUND Pandemic influenza A (H1N1) has a significant public health impact. This study aimed to examine the effect of socio-ecological factors on the transmission of H1N1 in Brisbane, Australia. METHODOLOGY We obtained data from Queensland Health on numbers of laboratory-confirmed daily H1N1 in Brisbane by statistical local areas (SLA) in 2009. Data on weather and socio-economic index were obtained from the Australian Bureau of Meteorology and the Australian Bureau of Statistics, respectively. A Bayesian spatial conditional autoregressive (CAR) model was used to quantify the relationship between variation of H1N1 and independent factors and to determine its spatiotemporal patterns. RESULTS Our results show that average increase in weekly H1N1 cases were 45.04% (95% credible interval (CrI): 42.63-47.43%) and 23.20% (95% CrI: 16.10-32.67%), for a 1 °C decrease in average weekly maximum temperature at a lag of one week and a 10mm decrease in average weekly rainfall at a lag of one week, respectively. An interactive effect between temperature and rainfall on H1N1 incidence was found (changes: 0.71%; 95% CrI: 0.48-0.98%). The auto-regression term was significantly associated with H1N1 transmission (changes: 2.5%; 95% CrI: 1.39-3.72). No significant association between socio-economic indexes for areas (SEIFA) and H1N1 was observed at SLA level. CONCLUSIONS Our results demonstrate that average weekly temperature at lag of one week and rainfall at lag of one week were substantially associated with H1N1 incidence at a SLA level. The ecological factors seemed to have played an important role in H1N1 transmission cycles in Brisbane, Australia.

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As doenças infecto-parasitárias, ainda hoje, em pleno século XXI são responsáveis por uma quantidade generosa de morbidade e mortalidade no Brasil e no mundo. Muitas delas são amplamente influenciadas pelas mudanças climáticas que estão ocorrendo em todo o planeta fazendo com que sua incidência e distribuição geográfica aumentem. A dengue é considerada a principal doença reemergente nos países tropicais e subtropicais. A malária tem forte incidência nos países ao sul do deserto do Saara na África, ocorrendo também em vários países da América do Sul que possuem parte da região Amazônica em seu território. Várias doenças voltam a assolar a população de vários locais como as leishmanioses, a Doença de Lyme, erlichioses entre outras. Em março de 2009 começam a ocorrer os primeiros casos de uma nova doença inicialmente denominada Influenza suína, a qual, levou alguns indivíduos a óbito em Oaxaca, uma cidade mexicana localizada a 400 quilômetros da capital. Rapidamente, a doença se espalhou pelo país e posteriormente, no começo do mês de abril de 2009 já, existiam relatos de casos em vários países. O objetivo geral desta pesquisa é verificar em que medida o cuidado de enfermagem realizado expressou um maior ou menor grau de controle do enfermeiro sobre seu trabalho, apontando para os potenciais riscos (biológicos) de adoecimento e impactos negativos na saúde deste trabalhador. O presente estudo foi desenvolvido por meio de uma abordagem quantitativa com desenho longitudinal e observacional, delineamento de pesquisa não experimental e caráter descritivo. Foi feita a análise observacional nas tendas quanto a sua infraestrutura e posteriormente foi passado um questionário aos enfermeiros pautado em questões sobre o risco biológico que estes estavam sendo submetidos. Faz-se necessário que a cultura do improviso acabe e comece a se pensar em uma nova realidade: as doenças transmissíveis são uma realidade, elas existem e há de ser feito um adequamento de tudo que esteja ligado à área de saúde pensando em um novo contexto. É imperioso que tanto as autoridades como os profissionais revejam e reflitam sobre o que aconteceu, para que os erros do passado possam ficar para trás e não se repitam.

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2009

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Introduction En juin 2009, l’Organisation Mondiale de la Santé (OMS) a déclaré l’état de pandémie pour le nouveau virus influenza A(H1N1). Malgré les recommandations des autorités de santé publique, lors de la mise en place de la campagne de vaccination de masse au Québec contre ce virus pandémique, certains groupes de la population ont été plus enclins à être vaccinés que d’autres groupes. Ceci souligne l’importance des déterminants psychosociaux du comportement humain, sujet qui a donné cadre à notre étude. Objectifs Le but de cette étude a été de documenter les attitudes, les connaissances et les influences sociales des parents dont les enfants fréquentent des services de garde éducatifs (SGE) vis-à-vis la vaccination contre la pandémie ainsi que la couverture vaccinale. Méthodologie Un questionnaire auto-administré et anonyme basé sur la théorie des comportements interpersonnels de Triandis a été distribué aux parents d’enfants âgés de 0-59 mois de neuf centres de la petite enfance sur l’île de Montréal. Résultats Le taux de réponse de l’enquête a été de 32,0% (N=185). Le taux de vaccination des enfants s’est retrouvé à 83,4%; ceci représente une couverture plus élevée que la moyenne régionale et nationale. Toutefois, à une question sur l’intention des parents face à une autre pandémie, seuls 46% des parents feraient vacciner leur enfant. Les facteurs les plus significatifs associés à la vaccination de leur enfant ont été les croyances personnelles positives, de bonnes habitudes vaccinales et l’influence des média, tous mesurés par plusieurs indicateurs (RC respectifs de 7,7, 3,1 et 4,2, p<0,05). Conclusion Pour la grippe A(H1N1), plusieurs facteurs contextuels ont joué en faveur des taux de vaccination acceptables chez les enfants. Toutefois, la mise en place d’une campagne de la vaccination par les instances gouvernementales et de santé publique en utilisant divers média pourraient contribuer à un taux de vaccination encore plus élevé en cas d’épidémie ou de pandémie.

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Rationnel : La pandémie de grippe A(H1N1)pdm09 a induit un grand nombre d’hospitalisation d’enfants en soins intensifs pédiatriques (SIP). L’objectif de cette étude a été de comparer l’incidence et la mortalité des enfants admis en SIP durant l’automne 2009 entre le Canada et la France, deux pays qui diffèrent essentiellement par l’immunisation de la population contre ce virus (première vague en été et taux de couverture vaccinale supérieur à 50% au Canada ; pas de vague estivale et couverture vaccinale de 18% en France). Méthodes : Nous avons comparé deux cohortes nationales qui ont inclue tous les patients avec une infection A(H1N1)pdm09 documentée, admis en SIP au Canada et en France entre le 1er Octobre 2009 et le 31 janvier 2010. Résultats : Au Canada, 160 enfants (incidence=2,63/100000 enfants) en 6 semaines ont été hospitalisés en SIP comparé aux 125 enfants (incidence=1,15/100000 enfants) en 11 semaines en France (p<0,001). Le taux de vaccination avant l’admission était inférieur à 25% parmi les enfants en situation critique dans les deux pays. La gravité à l’admission en SIP et le taux de mortalité ont été similaires au Canada et en France (4,4% en France vs 6,5% au Canada, p=0,45, respectivement). Au Canada, la vaccination contre le virus H1N1pdm09 a été associée avec une diminution du recours à la ventilation invasive (Odd Ratio 0.30, intervalle de confiance à 95% [0,11-0,83], p=0,02). Au Canada comparé à la France, les durées médianes de séjour en SIP et de ventilation invasive ont été plus courtes (2,9 vs 3 jours, p=0,03 et 4 vs 6 jours, p=0,02, respectivement). Conclusion : Les enfants canadiens et français critiquement malades ont été beaucoup moins nombreux à recevoir le vaccin contre le virus influenza A (H1N1)pdm09 en comparaison avec l’ensemble des enfants dans ces deux populations. Au Canada, où la couverture vaccinale a été élevée, le risque d’avoir une détresse respiratoire sévère était moins important parmi les enfants en situation critique ayant été vaccinés avant l’admission.