Trade, travel and disease : the role of law in pandemic preparedness

In 2009 the world experienced an influenza pandemic caused by the H1N1 virus. While the pandemic was milder then expected, it nonetheless provided the world with an opportunity to do real-time testing of pandemic preparedness. This paper examines the threats to human health posed by infectious diseases and the challenges for the global community in development of effective surveillance systems for emerging infectious diseases. In 2005 a new revised version of the International Health Regulations (IHR) was adopted. The requirements of the IHR (2005) are outlined and considered in light of the constraints facing resource-poor countries. Finally, the paper addresses the role of domestic law-making in supporting public health preparedness and articulates a number of ethical principles that should be considered when developing new public health laws.

Swine flu, doctors and pandemics : Is there a duty to treat during a pandemic?

The swine influenza (H1N1) outbreak in 2009 highlighted the ethical and legal pressures facing general practitioners and health workers in emergency departments in determining the nature and limits of their obligations to their patients and the public. Health workers require guidance on the multiple, overlapping, and at times conflicting legal and ethical duties owed to patients and prospective patients, employers and fellow health workers, and their families. Existing sources of advice on these issues in Australia, by way of statements of medical ethics and other sources of advice, are shown to be in need of further amplification if health workers are to be provided with the certainty and guidance required. Given the complexity of the issues, Australia would therefore benefit from more extensive consultation with the variety of stakeholders involved in these questions if pandemic plans are to smoothly deal with future crises in an ethically and legally sound manner.

Developing an epidemic forecasting model for Influenza A in Brisbane, Australia, based on climate and Hong Kong Influenza A surveillance data

Influenza is associated with substantial disease burden [ 1]. Development of a climate-based early warning system for in fluenza epidemics has been recommended given the signi fi - cant association between climate variability and influenza activity [2]. Brisbane is a subtropical city in Australia and offers free in fluenza vaccines to residents aged ≥65 years considering their high risks in developing life-threatening complications, especially for in fluenza A predominant seasons. Hong Kong is an international subtropical city in Eastern Asia and plays a crucial role in global infectious diseases transmission dynamics via the international air transportation network [3, 4]. We hypothesized that Hong Kong in fluenza surveillance data could provide a signal for in fluenza epidemics in Brisbane [ 4]. This study aims to develop an epidemic forecasting model for influenza A in Brisbane elders, by combining climate variability and Hong Kong in fluenza A surveillance data. Weekly numbers of laboratoryconfirmed influenza A positive isolates for people aged ≥65 years from 2004 to 2009 were obtained for Brisbane from Queensland Health, Australia, and for Hong Kong from Queen Mary Hospital (QMH). QMH is the largest public hospital located in Hong Kong Island, and in fluenza surveillance data from this hospital have been demonstrated to be representative for influenza circulation in the entirety of Hong Kong [ 5]. The Brisbane in fluenza A epidemics occurred during July –September, whereas the Hong Kong in fluenza A epidemics occurred during February –March and May –August.

Clinical factors associated with the humoral immune response to influenza vaccination in chronic obstructive pulmonary disease

Background and objective Individuals with chronic obstructive pulmonary disease (COPD) are at a high risk of developing significant complications from infection with the influenza virus. It is therefore vital to ensure that prophylaxis with the influenza vaccine is effective in COPD. The aim of this study was to assess the immunogenicity of the 2010 trivalent influenza vaccine in persons with COPD compared to healthy subjects without lung disease, and to examine clinical factors associated with the serological response to the vaccine. Methods In this observational study, 34 subjects (20 COPD, 14 healthy) received the 2010 influenza vaccine. Antibody titers at baseline and 28 days post-vaccination were measured using the hemagglutination inhibition assay (HAI) assay. Primary endpoints included seroconversion (≥4-fold increase in antibody titers from baseline) and the fold increase in antibody titer after vaccination. Results Persons with COPD mounted a significantly lower humoral immune response to the influenza vaccine compared to healthy participants. Seroconversion occurred in 90% of healthy participants, but only in 43% of COPD patients (P=0.036). Increasing age and previous influenza vaccination were associated with lower antibody responses. Antibody titers did not vary significantly with cigarette smoking, presence of other comorbid diseases, or COPD severity. Conclusion The humoral immune response to the 2010 influenza vaccine was lower in persons with COPD compared to non-COPD controls. The antibody response also declined with increasing age and in those with a history of prior vaccination.

Evaluation of immune responses to influenza vaccination in chronic obstructive pulmonary disease

Background: Given that viral infections are common triggers for exacerbations of Chronic Obstructive Pulmonary Disease (COPD), current clinical guidelines recommend that all patients receive annual influenza vaccinations. A detailed examination of the immune response to vaccination in COPD has not previously been undertaken, so this study aimed to compare immune responses to influenza vaccination between COPD patients and healthy subjects. Methods: Twenty one COPD patients and fourteen healthy subjects were recruited and cellular immune function was assessed pre- and post- vaccination with trivalent inactivated influenza vaccine. Results: One month after vaccination, H1N1 specific antibody titres were significantly lower in COPD patients than in healthy controls (p=0.02). Multivariate analysis demonstrated that post vaccination antibody titres were independently associated with COPD, but not with age or smoking status. Innate immune responses to the vaccine preparation did not differ between the two populations. Serum concentrations of IL-21, a cytokine that is important for B cell development and antibody synthesis, were also lower in COPD patients than in healthy subjects (p<0.01). In vitro functional differences were also observed, with fewer proliferating B cells expressing CD27 (p=0.04) and reduced T-cell IFN-γ synthesis (p<0.01) in COPD patients, relative to healthy subjects. Conclusions: In conclusion, COPD was associated with altered immune responses to influenza vaccination compared to healthy controls with reductions in both T-cell and B-cell function. These findings provide a foundation for future research aimed at optimising the effectiveness of influenza vaccination in COPD.

Planning for pandemics: Lessons from the past decade

It is now 10 years since the disease we now know as SARS-severe acute respiratory syndrome-caused more than 700 deaths around the world and made more than 8,000 people ill. More recently, in 2009 the global community experienced the first influenza pandemic of the 21st century-the 2009 H1N1 influenza pandemic. This paper analyses the major developments in international public health law relating to infectious diseases in the period since SARS and considers their implications for pandemic planning.

Switch Region for Pathogenic Structural Change in Conformational Disease and Its Prediction

Many diseases are believed to be related to abnormal protein folding. In the first step of such pathogenic structural changes, misfolding occurs in regions important for the stability of the native structure. This destabilizes the normal protein conformation, while exposing the previously hidden aggregation-prone regions, leading to subsequent errors in the folding pathway. Sites involved in this first stage can be deemed switch regions of the protein, and can represent perfect binding targets for drugs to block the abnormal folding pathway and prevent pathogenic conformational changes. In this study, a prediction algorithm for the switch regions responsible for the start of pathogenic structural changes is introduced. With an accuracy of 94%, this algorithm can successfully find short segments covering sites significant in triggering conformational diseases (CDs) and is the first that can predict switch regions for various CDs. To illustrate its effectiveness in dealing with urgent public health problems, the reason of the increased pathogenicity of H5N1 influenza virus is analyzed; the mechanisms of the pandemic swine-origin 2009 A(H1N1) influenza virus in overcoming species barriers and in infecting large number of potential patients are also suggested. It is shown that the algorithm is a potential tool useful in the study of the pathology of CDs because: (1) it can identify the origin of pathogenic structural conversion with high sensitivity and specificity, and (2) it provides an ideal target for clinical treatment.

Detection of avian influenza virus subtype H5 using a biosensor based on imaging ellipsometry

A novel method is reported for the detection of avian influenza virus subtype H5 using a biosensor based on high spatial resolution imaging ellipsometry (IE). Monoclonal antibodies specific to H5 hemagglutinin protein were immobilized on silicon wafers and used to capture virus particles. Resultant changes on the surface of the wafers were visualized directly in gray-scale on an imaging ellipsometry image. This preliminary study has shown that the assay is rapid and specific for the identification of avian influenza virus subtype H5. Compared with lateral-flow immunoassays, this biosensor not only has better sensitivity, but can also simultaneously perform multiplexed tests. These results suggest that this biosensor might be a valuable diagnostic toot for avian influenza virus detection. (c) 2009 Elsevier B.V. All rights reserved.

Detection of avian influenza virus by fluorescent DNA barcode-based immunoassay with sensitivity comparable to PCR

In this paper, a coupling of fluorophore-DNA barcode and bead-based immunoassay for detecting avian influenza virus (AIV) with PCR-like sensitivity is reported. The assay is based on the use of sandwich immunoassay and fluorophore-tagged oligonucleotides as representative barcodes. The detection involves the sandwiching of the target AIV between magnetic immunoprobes and barcode-carrying immunoprobes. Because each barcode-carrying immunoprobe is functionalized with a multitude of fluorophore-DNA barcode strands, many DNA barcodes are released for each positive binding event resulting in amplification of the signal. Using an inactivated H16N3 AIV as a model, a linear response over five orders of magnitude was obtained, and the sensitivity of the detection was comparable to conventional RT-PCR. Moreover, the entire detection required less than 2 hr. The results indicate that the method has great potential as an alternative for surveillance of epidemic outbreaks caused by AIV, other viruses and microorganisms.

Detection of Avian Influenza Virus with PCR-Like Sensitivity by Fluorescent DNA Barcode-Based Immunoassay

In this paper, we report a coupling of fluorophore-DNA barcode and bead-based
immunoassay for the detection of Avian Influenza Virus (AIV), a potential pandemic threat for human health and enormous economic losses. The detection strategy is based on the use of sandwich immunoassay and fluorophore-tagged oligonucleotides as representatively fluorescent barcodes. Despite its simplicity the assay has sensitivity comparable to RT-PCR amplification, and possesses a great potential as a rapid and sensitive on-chip detection format.

Influenza surveillance using data from a telemedicine centre.

OBJECTIVES: This study aimed at investigating whether data from medical teleconsultations may contribute to influenza surveillance. METHODS: International Classification of Primary Care 2nd Edition (ICPC-2) codes were used to analyse the proportion of teleconsultations due to influenza-related symptoms. Results were compared with the weekly Swiss Sentinel reports. RESULTS: When using the ICPC-2 code for fever we could reproduce the seasonal influenza peaks of the winter seasons 07/08, 08/09 and 09/10 as depicted by the Sentinel data. For the pandemic influenza 09/10, we detected a much higher first peak in summer 2009 which correlated with a potential underreporting in the Sentinel system. CONCLUSIONS: ICPC-2 data from medical teleconsultations allows influenza surveillance in real time and correlates very well with the Swiss Sentinel system.

Enhancing pnemonia surveillance in acute care facilities in post SARS era : a Canadian hospital surveillance study, 2003-2004 influenza season

A retrospective study of patients hospitalized with influenza and/or pneumonia in a Niagara area community hospital for the influenza season 2003-04 was designed with the main goal of enhancing pneumonia surveillance in acute care facilities and the following specific objectives: 1) identify etiologies, factors, and clinical presentation associated with pneumonia; 2) assess the ODIN score on ICU patients to predict outcomes of severe pneumonia; 3) identify the frequency of pneumonia and influenza in a hospital setting; and 4) develop a hospital pneumonia electronic surveillance tool. A total of 172 patients' charts (50% females) were reviewed and classified into two groups: those with diagnosis of pneumonia (n=132) and those without pneumonia (n=40). The latter group consisted mainly of patients with influenza (85%). Most patients were young (<10yrs) or elderly (>71yrs). Presenting body temperature <38°C, cough symptoms, respiratory and cardiac precomorbidities were common in both groups. Pneumonia was more frequent in males (p= .032) and more likely community-acquired (98%) than nosocomial (2%). No evidence of ventilator-associated pneumonia was found. Microbiology testing in 72% of cases detected 19 different pathogens. In pneumonia patients the most common organisms were Streptococcus pneumoniae (3%), Respiratory syncytial virus (4%), and Influenza A virus (2%). Conversely, Influenza A virus was identified in 73% of non-pneumonia patients. Community-acquired influenza was more common (80%) than nosocomial influenza (20%). The ODIN score was a good predictor of mortality and the new electronic surveillance tool was an effective prototype to monitor patients in acute care, especially during influenza season. The results of this study provided baseline data on respiratory illness surveillance and demonstrated that future research, including prospective studies, is warranted in acute care facilities.