976 resultados para vírus da influenza A subtipo H1N1


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Background A pandemic strain of influenza A spread rapidly around the world in 2009, now referred to as pandemic (H1N1) 2009. This study aimed to examine the spatiotemporal variation in the transmission rate of pandemic (H1N1) 2009 associated with changes in local socio-environmental conditions from May 7–December 31, 2009, at a postal area level in Queensland, Australia. Method We used the data on laboratory-confirmed H1N1 cases to examine the spatiotemporal dynamics of transmission using a flexible Bayesian, space–time, Susceptible-Infected-Recovered (SIR) modelling approach. The model incorporated parameters describing spatiotemporal variation in H1N1 infection and local socio-environmental factors. Results The weekly transmission rate of pandemic (H1N1) 2009 was negatively associated with the weekly area-mean maximum temperature at a lag of 1 week (LMXT) (posterior mean: −0.341; 95% credible interval (CI): −0.370–−0.311) and the socio-economic index for area (SEIFA) (posterior mean: −0.003; 95% CI: −0.004–−0.001), and was positively associated with the product of LMXT and the weekly area-mean vapour pressure at a lag of 1 week (LVAP) (posterior mean: 0.008; 95% CI: 0.007–0.009). There was substantial spatiotemporal variation in transmission rate of pandemic (H1N1) 2009 across Queensland over the epidemic period. High random effects of estimated transmission rates were apparent in remote areas and some postal areas with higher proportion of indigenous populations and smaller overall populations. Conclusions Local SEIFA and local atmospheric conditions were associated with the transmission rate of pandemic (H1N1) 2009. The more populated regions displayed consistent and synchronized epidemics with low average transmission rates. The less populated regions had high average transmission rates with more variations during the H1N1 epidemic period.

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Background: There was a low adherence to influenza A (H1N1) vaccination program among university students and health care workers during the pandemic influenza in many parts of the world. Vaccination of high risk individuals is one of the recommendations of World Health Organization during the post-pandemic period. It is not documented about the student's knowledge, attitude and willingness to accept H1N1 vaccination during the post-pandemic period. We aimed to analyze the student's knowledge, attitude and willingness to accept H1N1 vaccination during the post-pandemic period in India. Methods: Vaccine against H1N1 was made available to the students of Vellore Institute of Technology, India from September 2010. The data are based on a cross-sectional study conducted during October 2010 to January 2011 using a self-administered questionnaire with a representative sample of the student population (N = 802). Results: Of the 802 respondents, only 102/802 (12.7%) had been vaccinated and 105/802 (13%) planned to do so in the future, while 595/802 (74%) would probably or definitely not get vaccinated in the future. The highest coverage was among the female (65/102, 63.7%) and non-compliance was higher among men in the group (384/595; 64.5%) (p < 0.0001). The representation of students from school of Bio-sciences and Bio-technology among vaccinees is significantly higher than that of other schools. Majority of the study population from the three groups perceived vaccine against H1N1 as the effective preventive measure when compared to other preventive measures. 250/595 (42%) of the responders argued of not being in the risk group. The risk perception was significantly higher among female (p < 0.0001). With in the study group, 453/802 (56.4%) said that they got the information, mostly from media. Conclusions: Our study shows that the vaccination coverage among university students remains very low in the post-pandemic period and doubts about the safety and effectiveness of the vaccine are key elements in their rejection. Our results indicate a need to provide accessible information about the vaccine safety by scientific authorities and fill gaps and confusions in this regard.

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Context Extracorporeal membrane oxygenation (ECMO) can support gas exchange in patients with severe acute respiratory distress syndrome (ARDS), but its role has remained controversial. ECMO was used to treat patients with ARDS during the 2009 influenza A(H1N1) pandemic.

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A swine H3N2 (swH3N2) and pandemic (H1N1) 2009 (pH1N1) influenza A virus reassortant (swH3N2/ pH1N1) was detected in Canadian swine at the end of 2010. Simultaneously, a similar virus was also detected in Canadian mink based on partial viral genome sequencing. The origin of the new swH3N2/pH1N1 viral genes was related to the North American swH3N2 triple-reassortant cluster IV (for hemagglutinin [HA] and neuraminidase [NA] genes) and to pH1N1 for all the other genes (M, NP, NS, PB1, PB2, and PA). Data indicate that the swH3N2/pH1N1 virus can be found in several pigs that are housed at different locations.

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O surgimento de um novo subtipo de vírus Influenza A, para o qual a população tem pouca imunidade, a capacidade do novo subtipo viral replicar em seres humanos e de provocar doença, conjugados com a capacidade de transmissão eficaz entre pessoas – como ocorrido com o vírus A[H1N1]v, em 2009, a partir do México – vieram concretizar a ameaça de pandemia de gripe que era esperada desde o início do século. Em resultado da grande morbilidade e do consequente e previsível aumento da mortalidade, são esperados impactos na laboração das Organizações, que se podem repercutir ao longo de toda a cadeia de serviços, podendo originar disfunções sociais e económicas. Transportando mercadorias estruturantes e cerca de meio milhão de passageiros por dia, a CP – Comboios de Portugal (CP), propagaria esses impactos negativos a muitas outras Organizações, se não conseguisse laborar nesse cenário. Não sendo possível adiar indefinidamente a pandemia, a estratégia adequada consiste no reforço da resiliência da Empresa e dos seus fornecedores críticos, para que toda a cadeia de serviços consiga dobrar sob a vaga de gripe, sem se partir, para retomar depois a operacionalidade desejada. A avaliação de riscos para a Empresa foi feita pesquisando o impacto de pandemias anteriores, projectando as solicitações dos clientes, determinando as funções de maior risco profissional de gripe e recorrendo aos dados epidemiológicos resultantes dos primeiros estudos publicados sobre o vírus A[H1N1]v. Para manter a continuidade da actividade essencial, a Empresa determinou o efectivo crítico para a produção dos comboios nos cenários de 10%, 25% e 50% de absentismo laboral. Foi iniciado o controlo de riscos de gripe, nomeadamente através de medidas de organização do trabalho, protecção colectiva, formação, informação e protecção individual. O dispositivo de protecção individual foi seleccionado para proteger o efectivo de forma diferenciada, conforme a sua criticidade para a laboração essencial da Empresa e o seu risco profissional de gripe. Estes e outros aspectos de Seguraa e Saúde Ocupacionais são explorados no presente artigo, pelo papel determinante que assumem no Plano de Contingência para Laboração dos Comboios de Portugal em Pandemia de Gripe.

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Background and objectives: There have been few studies investigating acute kidney injury (AKI) in patients infected with the 2009 pandemic influenza A (H1N1) virus. Therefore, the objective of this study was to identify the factors associated with AKI in H1N1-infected patients. Design, setting, participants, & measurements: This was a study of 47 consecutive critically ill adult patients with reverse transcriptase-PCR-confirmed H1N1 infection in Brazil. Outcome measures were AKI (as defined by the Risk, Injury, Failure, Loss, and End-stage renal failure [RIFLE] criteria) and in-hospital death. Results: AKI was identified in 25 (53%) of the 47 H1N1-infected patients. AKI was associated with vasopressor use, mechanical ventilation, high Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, and severe acidosis as well as with higher levels of C-reactive protein and lactic dehydrogenase upon intensive care unit (ICU) admission. A nephrology consultation was requested for 16 patients (64%), and 8 (50%) required dialysis. At ICU admission, 7 (15%) of the 25 AKI patients had not yet progressed to AKI. However, by 72 hours after ICU admission, no difference in RIFLE score was found between AKI survivors and nonsurvivors. Of the 47 patients, 9 (19%) died, all with AKI. Mortality was associated with mechanical ventilation, vasopressor use, dialysis, high APACHE II score, high bilirubin levels, and a low RIFLE score at ICU admission. Conclusions: Among critically ill H1N1-infected patients, the incidence of AKI is high. In such patients, AKI is mainly attributable to shock. Clin J Am Soc Nephrol 5: 1916-1921, 2010. doi: 10.2215/CJN.00840110

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Patients and methods: Clinical data from all patients admitted with acute respiratory failure due to novel viral H1N1 infection were reviewed. Lung tissue was submitted for viral and bacteriological analyses by real-time RT-PCR, and autopsy was conducted on all patients who died. Results: Eight patients were admitted, with ages ranging from 55 to 65 years old. There were five patients with solid organ tumors (62.5%) and three with hematological malignancies (37.5%). Five patients required mechanical ventilation and all died. Four patients had bacterial bronchopneumonia. All deaths occurred due to multiple organ failure. A milder form of lung disease was present in the three cases who survived. Lung tissue analysis was performed in all patients and showed diffuse alveolar damage in most patients. Other lung findings were necrotizing bronchiolitis or extensive hemorrhage. Conclusions: H1N1 viral infection in patients with cancer can cause severe illness, resulting in acute respiratory distress syndrome and death. More data are needed to identify predictors of unfavorable evolution in these patients.

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Objective: The aim of the present study was to examine the impact of Pandemic (H1N1) 2009 Influenza on the Australian emergency nursing and medicine workforce, specifically absenteeism and deployment.

Methods: Data were collected using an online survey of 618 members of the three professional emergency medicine or emergency nursing colleges.

Results: Despite significant increases in emergency demand during the Pandemic (H1N1) 2009 Influenza, 56.6% of emergency nursing and medicine staff reported absenteeism of at least 1 day and only 8.5% of staff were redeployed. Staff illness with influenza-like illness was reported by 37% of respondents, and 87% of respondents who became ill were not tested for the Pandemic (H1N1) 2009 Influenza. Of the respondents who became ill, 43% (n = 79) reported missing no days of work and only 8% of respondents (n = 14) reported being absent for more than 5 days. The mean number of days away from work was 3.73 (standard deviation = 3.63). Factors anecdotally associated with staff absenteeism (caregiver responsibilities, concern about personal illness, concern about exposing family members to illness, school closures, risk of quarantine, stress and increased workload) appeared to be of little or no relevance. Redeployment was reported by 8% of respondents and the majority of redeployment was for operational reasons.

Conclusion: Future research related to absenteeism, redeployment during actual pandemic events is urgently needed. Workforce data collection should be an integral part of organizational pandemic planning.

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Objective: To describe the reported impact of Pandemic (H1N1) 2009 on EDs, so as to inform future pandemic policy, planning and response management.

Methods: This study comprised an issue and theme analysis of publicly accessible literature, data from jurisdictional health departments, and data obtained from two electronic surveys of ED directors and ED staff. The issues identified formed the basis of policy analysis and evaluation.

Results: Pandemic (H1N1) 2009 had a significant impact on EDs with presentation for patients with ‘influenza-like illness’ up to three times that of the same time in previous years. Staff reported a range of issues, including poor awareness of pandemic plans, patient and family aggression, chaotic information flow to themselves and the public, heightened stress related to increased workloads and lower levels of staffing due to illness, family care duties and redeployment of staff to flu clinics. Staff identified considerable discomfort associated with prolonged times wearing personal protective equipment. Staff believed that the care of non-flu patients was compromised during the pandemic as a result of overwork, distraction from core business and the difficulties associated with accommodating infectious patients in an environment that was not conducive.

Conclusions: This paper describes the breadth of the impact of pandemics on ED operations. It identifies a need to address a range of industrial, management and procedural issues. In particular, there is a need for a single authoritative source of information, the re-engineering of EDs to accommodate infectious patients and organizational changes to enable rapid deployment of alternative sources of care.