scholarly journals P1-147 Following public health protocols during 2009 pandemic influenza A (H1N1)

2011 ◽  
Vol 65 (Suppl 1) ◽  
pp. A107-A107
Author(s):  
S. Fernandez-Arribas ◽  
E. Lopez-Garcia ◽  
A. Perez-Rubio ◽  
C. Ruiz-Sopena ◽  
H. Marcos-Rodriguez
Keyword(s):  
Public Health ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Influenza A H1n1

Establishment of public health security in Saudi Arabia for the 2009 Hajj in response to pandemic influenza A H1N1

The Lancet ◽  
2009 ◽  
Vol 374 (9703) ◽  
pp. 1786-1791 ◽  
Author(s):  
ZA Memish ◽  
SJN McNabb ◽  
F Mahoney ◽  
F Alrabiah ◽  
N Marano ◽  
...  
Keyword(s):  
Public Health ◽  
Saudi Arabia ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Health Security ◽  
Influenza A H1n1

scholarly journals Performances of Bioinformatics Pipelines for the Identification of Pathogens in Clinical Samples with the De Novo Assembly Approaches: Focus on 2009 Pandemic Influenza A (H1N1)

2014 ◽  
Vol 8 (1) ◽  
pp. 1-5
Author(s):  
Tommaso Biagini ◽  
Barbara Bartolini ◽  
Emanuela Giombini ◽  
Maria R. Capobianchi ◽  
Fabrizio Ferrè ◽  
...  
Keyword(s):  
Public Health ◽  
Health Monitoring ◽  
Pandemic Influenza ◽  
Computational Efficiency ◽  
Influenza A ◽  
De Novo ◽  
Rapid Identification ◽  
Clinical Samples ◽  
Public Health Monitoring ◽  
Influenza A H1n1

Diagnostic assays for pathogen detection are critical components of public-health monitoring efforts. In view of the limitations of methods that target specific agents, new approaches are required for the identification of novel, modified or ‘unsuspected’ pathogens in public-health monitoring schemes. Metagenomic approach is an attractive possibility for rapid identification of these pathogens. The analysis of metagenomic libraries requires fast computation and appropriate algorithms to characterize sequences. In this paper, we compared the computational efficiency of different bioinformatic pipelines ad hoc established, based on de novo assembly of pathogen genomes, using a data set generated with a 454 genome sequencer from respiratory samples of patients with diagnosis of 2009 pandemic influenza A (H1N1). The results indicate high computational efficiency of the different bioinformatic pipelines, reducing the number of alignments respect to the identification based on the alignment of individual reads. The resulting computational time, added to the processing/sequencing time, is well compatible with diagnostic needs. The pipelines here described are useful in the unbiased analysis of clinical samples from patients with infectious diseases that may be relevant not only for the rapid identification but also for the extensive genetic characterization of viral pathogens without the need of culture amplification.

scholarly journals Media Use and Communication Inequalities in a Public Health Emergency: A Case Study of 2009–2010 Pandemic Influenza a Virus Subtype H1N1

2014 ◽  
Vol 129 (6_suppl4) ◽  
pp. 49-60 ◽  
Author(s):  
Leesa Lin ◽  
Minsoo Jung ◽  
Rachel F. McCloud ◽  
Kasisomayajula Viswanath
Keyword(s):  
Public Health ◽  
Health Communication ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Social Groups ◽  
Information Access ◽  
Public Health Emergency ◽  
Prevention Measures ◽  
Influenza A H1n1 ◽  
Communication Inequalities

Objectives. Studies have shown that differences among individuals and social groups in accessing and using information on health and specific threats have an impact on their knowledge and behaviors. These differences, characterized as communication inequalities, may hamper the strength of a society's response to a public health emergency. Such inequalities not only make vulnerable populations subject to a disproportionate burden of adversity, but also compromise the public health system's efforts to prevent and respond to pandemic influenza outbreaks. We investigated the effect of socioeconomic status (SES) and health communication behaviors (including barriers) on people's knowledge and misconceptions about pandemic influenza A(H1N1) (pH1N1) and adoption of prevention behaviors. Methods. The data for this study came from a survey of 1,569 respondents drawn from a nationally representative sample of American adults during pH1N1. We conducted logistic regression analyses when appropriate. Results. We found that ( 1) SES has a significant association with barriers to information access and processing, levels of pH1N1-related knowledge, and misconceptions; ( 2) levels of pH1N1-related knowledge are associated positively with the adoption of recommended prevention measures and negatively with the adoption of incorrect protective behaviors; and ( 3) people with higher SES, higher news exposure, and higher levels of pH1N1-related knowledge, as well as those who actively seek information, are less likely than their counterparts to adopt incorrect prevention behaviors. Conclusion. Strategic public health communication efforts in public health preparedness and during emergencies should take into account potential communication inequalities and develop campaigns that reach across different social groups.

scholarly journals The epidemiological and public health research response to 2009 pandemic influenza A(H1N1): experiences from Hong Kong

2012 ◽  
Vol 7 (3) ◽  
pp. 367-382 ◽  
Author(s):  
Peng Wu ◽  
Benjamin J. Cowling ◽  
Joseph T. Wu ◽  
Eric H. Y. Lau ◽  
Dennis K. M. Ip ◽  
...  
Keyword(s):  
Public Health ◽  
Hong Kong ◽  
Pandemic Influenza ◽  
Health Research ◽  
Influenza A ◽  
Public Health Research ◽  
Influenza A H1n1

U.S. Military Public Health Surveillance and Response to Pandemic Influenza A (H1N1)

2010 ◽  
Vol 39 (5) ◽  
pp. 483-486 ◽  
Author(s):  
Bruno Petruccelli ◽  
Jean Lin Otto ◽  
Matthew C. Johns ◽  
Robert J. Lipnick
Keyword(s):  
Public Health ◽  
Pandemic Influenza ◽  
Influenza A ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Surveillance And Response ◽  
Influenza A H1n1

scholarly journals Ocular manifestations of emerging viral diseases

Eye ◽  
2021 ◽  
Author(s):  
Ashwin Venkatesh ◽  
Ravi Patel ◽  
Simran Goyal ◽  
Timothy Rajaratnam ◽  
Anant Sharma ◽  
...  
Keyword(s):  
Public Health ◽  
Infectious Diseases ◽  
Influenza A ◽  
Emerging Infectious Diseases ◽  
Global Scale ◽  
Viral Diseases ◽  
Valley Fever ◽  
Ocular Manifestations ◽  
Influenza A H1n1 ◽  
Emerging Viral Diseases

AbstractEmerging infectious diseases (EIDs) are an increasing threat to public health on a global scale. In recent times, the most prominent outbreaks have constituted RNA viruses, spreading via droplets (COVID-19 and Influenza A H1N1), directly between humans (Ebola and Marburg), via arthropod vectors (Dengue, Zika, West Nile, Chikungunya, Crimean Congo) and zoonotically (Lassa fever, Nipah, Rift Valley fever, Hantaviruses). However, specific approved antiviral therapies and vaccine availability are scarce, and public health measures remain critical. Patients can present with a spectrum of ocular manifestations. Emerging infectious diseases should therefore be considered in the differential diagnosis of ocular inflammatory conditions in patients inhabiting or returning from endemic territories, and more general vigilance is advisable in the context of a global pandemic. Eye specialists are in a position to facilitate swift diagnosis, improve clinical outcomes, and contribute to wider public health efforts during outbreaks. This article reviews those emerging viral diseases associated with reports of ocular manifestations and summarizes details pertinent to practicing eye specialists.

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