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The article discusses the importance of proactive biological surveillance in detecting and containing infectious diseases. It emphasizes the limitations of event-based surveillance, which relies on individuals seeking healthcare, and proposes the use of pathogen agnostic wastewater surveillance as a proactive approach. Wastewater testing, coupled with next-generation sequencing (NGS), can detect a wide range of viruses and provide early warning of emerging and novel pathogens. The article suggests the development of national guidelines for pathogen agnostic wastewater surveillance in high-risk areas, such as locations with animal agriculture and international ports of entry. The implementation of such a system would require standardized protocols, bioinformatics pipelines, and interagency collaboration. The article concludes that shifting from event-based surveillance to proactive surveillance will greatly benefit global health and biological defense. [Extracted from the article]

One Health is increasingly recognized as an important approach for health systems, particularly with respect to strengthening prevention, detection and response to zoonotic and other emerging disease threats. While many global health security frameworks reference the importance of One Health, there are fewer existing methodologies, tools, and resources for supporting countries and other regional or sub-national authorities in systematically assessing their One Health capabilities. We describe here two methodologies, One Health Systems Assessment for Priority Zoonoses (OHSAPZ) and One Health Transboundary Assessment for Priority Zoonoses (OHTAPZ), which have been developed to assist with creating consensus lists of priority zoonotic diseases for cross-sectoral consideration; identification of current strengths and gaps in One Health communication and coordination between sectors (and, in the case of OHTAPZ, between countries); and the development and dissemination of prioritized recommendations for future capacity strengthening. Implemented to date in seven diverse countries in Africa and the Eastern Mediterranean regions, these tools provide a modular, flexible and easily adaptable approach to One Health systems assessment that can support national capacity strengthening, regional epidemic preparedness, and compliance with international frameworks. [ABSTRACT FROM AUTHOR]

This commentary cites a scoping review by Durrance-Bagale et al on how regional bodies have approached infectious disease control to determine if those lessons could be applied to assist the Association of Southeast Asian Nations (ASEAN). The author's work is timely and highlights the importance of recognizing and understanding regional context, governance and operational structures to then design effective regional networks. Most factors highlighted as enablers and constraints are quite expected, including stakeholder mapping, a clear mission space with goals and objectives, outreach and advocacy to receive buy-in, political will and sustainable funding. We suggest below that there is an opportunity for further systematic and operational research of enablers and constraints for regional infectious disease control bodies, one that expands on infectious disease control while also continuing to take into account governance, legislative and organizational factors, and strongly emphasizes the development and application of clear metrics to create better measures of impact. [ABSTRACT FROM AUTHOR]

The emergence of West Nile Virus lineage 2 (WNV-2) has contributed to multiple major human outbreaks in Greece since 2010. Studies to date investigating biological and environmental factors that contribute to West Nile Virus (WNV) transmission have resulted in complex statistical models. We sought to examine open publicly available data to ascertain if a predictive risk assessment could be employed for WNV-2 in Greece. Based on accessible data, factors such as precipitation, temperature, and range of avian host species did not yield conclusive outcomes. However, by measuring the average rate of temperature change leading up to peak caseloads, we found a predictive characteristic to the timing of outbreaks. Detailed evolutionary studies revealed possible multiple introductions of WNV-2 in Europe, and that Greece acts through a source-sink inversion model, thereby allowing continued reseeding of WNV transmission each year by overwintering the Culex pipiens mosquito vector. Greece has proven an excellent model in WNV surveillance and has demonstrated the importance of rapid reporting for proper preparedness and response to vector-borne diseases. [ABSTRACT FROM AUTHOR]

In response to the 2014-2016 West Africa Ebola virus disease (EVD) outbreak, a US congressional appropriation provided funds to the US Centers for Disease Control and Prevention (CDC) to support global health security capacity building in 17 partner countries, including Guinea. The 2014 funding enabled CDC to provide more than 300 deployments of personnel to Guinea during the Ebola response, establish a country office, and fund 11 implementing partners through cooperative agreements to support global health security engagement efforts in 4 core technical areas: workforce development, surveillance systems, laboratory systems, and emergency management. This article reflects on almost 4 years of collaboration between CDC and its implementing partners in Guinea during the Ebola outbreak response and the recovery period. We highlight examples of collaborative synergies between cooperative agreement partners and local Guinean partners and discuss the impact of these collaborations in strengthening the above 4 core capacities. Finally, we identify the key elements of the successful collaborations, including communication and information sharing as a core cooperative agreement activity, a flexible funding mechanism, and willingness to adapt to local needs. We hope these observations can serve as guidance for future endeavors seeking to establish strong and effective partnerships between government and nongovernment organizations providing technical and operational assistance. [ABSTRACT FROM AUTHOR]

Managing infectious disease requires rapid and effective response to support decision making. The decisions are complex and require understanding of the diseases, disease intervention and control measures, and the disease-relevant characteristics of the local community. Though disease modeling frameworks have been developed to address these questions, the complexity of current models presents a significant barrier to community-level decision makers in using the outputs of the most scientifically robust methods to support pragmatic decisions about implementing a public health response effort, even for endemic diseases with which they are already familiar. Here, we describe the development of an application available on the internet, including from mobile devices, with a simple user interface, to support on-the-ground decision-making for integrating disease control programs, given local conditions and practical constraints. The model upon which the tool is built provides predictive analysis for the effectiveness of integration of schistosomiasis and malaria control, two diseases with extensive geographical and epidemiological overlap, and which result in significant morbidity and mortality in affected regions. Working with data from countries across sub-Saharan Africa and the Middle East, we present a proof-of-principle method and corresponding prototype tool to provide guidance on how to optimize integration of vertical disease control programs. This method and tool demonstrate significant progress in effectively translating the best available scientific models to support practical decision making on the ground with the potential to significantly increase the efficacy and cost-effectiveness of disease control. Author summary: Designing and implementing effective programs for infectious disease control requires complex decision-making, informed by an understanding of the diseases, the types of disease interventions and control measures available, and the disease-relevant characteristics of the local community. Though disease modeling frameworks have been developed to address these questions and support decision-making, the complexity of current models presents a significant barrier to on-the-ground end users. The picture is further complicated when considering approaches for integration of different disease control programs, where co-infection dynamics, treatment interactions, and other variables must also be taken into account. Here, we describe the development of an application available on the internet with a simple user interface, to support on-the-ground decision-making for integrating disease control, given local conditions and practical constraints. The model upon which the tool is built provides predictive analysis for the effectiveness of integration of schistosomiasis and malaria control, two diseases with extensive geographical and epidemiological overlap. This proof-of-concept method and tool demonstrate significant progress in effectively translating the best available scientific models to support pragmatic decision-making on the ground, with the potential to significantly increase the impact and cost-effectiveness of disease control. [ABSTRACT FROM AUTHOR]

The launch of the Global Health Security Agenda (GHSA) in February 2014 capped over a decade of global efforts to develop new approaches to emerging and reemerging infectious diseases-part of the growing recognition that disease events, whether natural, accidental, or intentional, threaten not just public health, but national, regional, and global security interests. In 2005, the United States, along with other Member States of the World Health Organization (WHO), adopted the revised International Health Regulations [IHR (2005)]. The IHR (2005) conferred new responsibilities on WHO and the global health community to coordinate resources for capacity building and emergency response, and on the now-196 States Parties to develop the core capacities required to detect, assess, report, and respond to potential public health emergencies of international concern. Both GHSA and the IHR aim to elevate political attention and encourage participation, coordination, and collaboration by multiple stakeholders, while leveraging previously existing commitments and multilateral efforts. GHSA and the IHR (2005) are platforms for action; how efforts under each will complement each other remains unclear. Mechanisms that measure progress under these 2 overlapping frameworks will aid in focusing resources and in sustaining political momentum for IHR implementation after 2016. In 2005, the United States, along with other Member States of the World Health Organization (WHO), adopted the revised International Health Regulations [IHR (2005)]. Both GHSA and the IHR aim to elevate political attention and encourage participation, coordination, and collaboration. The authors describe how GHSA and the IHR (2005) overlap and will complement each other. [ABSTRACT FROM AUTHOR]

The events and mechanisms that lead to interspecies transmission of, and host adaptation to, influenza A virus are unknown; however, both surface and internal proteins have been implicated. Our previous report highlighted the role that Japanese quail play as an intermediate host, expanding the host range of a mallard H2N2 virus, A/mallard/Potsdam/178-4/83 (H2N2), through viral adaptation. This quail-adapted virus supported transmission in quail and increased its host range to replicate and be transmitted efficiently in chickens. Here we report that of the six amino acid changes in the quail-adapted virus, a single change in the hemagglutinin (HA) was crucial for transmission in quail, while the changes in the polymerase genes favored replication at lower temperatures than those for the wild-type mallard virus. Reverse genetic analysis indicated that all adaptive mutations were necessary for transmission in chickens, further implicating quail in extending this virus to terrestrial poultry. Adaptation of the quail-adapted virus in chickens resulted in the alteration of viral tropism from intestinal shedding to shedding and transmission via the respiratory tract. Sequence analysis indicated that this chicken-adapted virus maintained all quail-adaptive mutations, as well as an additional change in the HA and, most notably, a 27-amino-acid deletion in the stalk region of neuraminidase (NA), a genotypic marker of influenza virus adaptation to chickens. This stalk deletion was shown to be responsible for the change in virus tropism from the intestine to the respiratory tract. [ABSTRACT FROM AUTHOR]

H9N2 avian influenza A viruses are endemic in poultry of many Eurasian countries and have caused repeated human infections in Asia since 1998. To evaluate the potential threat of H9N2 viruses to humans, we investigated the replication and transmission efficiency of H9N2 viruses in the ferret model. Five wild-type (WT) H9N2 viruses, isolated from different avian species from 1988 through 2003, were tested in vivo and found to replicate in ferrets. However these viruses achieved mild peak viral titers in nasal washes when compared to those observed with a human H3N2 virus. Two of these H9N2 viruses transmitted to direct contact ferrets, however no aerosol transmission was detected in the virus displaying the most efficient direct contact transmission. A leucine (Leu) residue at amino acid position 226 in the hemagglutinin (HA) receptorbinding site (RBS), responsible for human virus-like receptor specificity, was found to be important for the transmission of the H9N2 viruses in ferrets. In addition, an H9N2 avian-human reassortant virus, which contains the surface glycoprotein genes from an H9N2 virus and the six internal genes of a human H3N2 virus, showed enhanced replication and efficient transmission to direct contacts. Although no aerosol transmission was observed, the virus replicated in multiple respiratory tissues and induced clinical signs similar to those observed with the parental human H3N2 virus. Our results suggest that the establishment and prevalence of H9N2 viruses in poultry pose a significant threat for humans. [ABSTRACT FROM AUTHOR]

Background: Sustained outbreaks of highly pathogenic avian influenza (HPAI) H5N1 in avian species increase the risk of reassortment and adaptation to humans. The ability to contain its spread in chickens would reduce this threat and help maintain the capacity for egg-based vaccine production. While vaccines offer the potential to control avian disease, a major concern of current vaccines is their potency and inability to protect against evolving avian influenza viruses. Methodology / Principal Findings: The ability of DNA vaccines encoding hemagglutinin (HA) proteins from different HPAI H5N1 serotypes was evaluated for its ability to elicit neutralizing antibodies and to protect against homologous and heterologous HPAI H5N1 strain challenge in mice and chickens after DNA immunization by needle and syringe or with a pressure injection device. These vaccines elicited antibodies that neutralized multiple strains of HPAI H5N1 when given in combinations containing up to 10 HAs. The response was dose-dependent, and breadth was determined by the choice of the influenza virus HA in the vaccine. Monovalent and trivalent HA vaccines were tested first in mice and conferred protection against lethal H5N1 A/Vietnam/1203/2004 challenge 68 weeks after vaccination. In chickens, protection was observed against heterologous strains of HPAI H5N1 after vaccination with a trivalent H5 serotype DNA vaccine with doses as low as 5 mg DNA given twice either by intramuscular needle injection or with a needle-free device. Conclusions/Significance: DNA vaccines offer a generic approach to influenza virus immunization applicable to multiple animal species. In addition, the ability to substitute plasmids encoding different strains enables rapid adaptation of the vaccine to newly evolving field isolates. [ABSTRACT FROM AUTHOR]

Abstract: Avian influenza (AI) viruses have been sporadically isolated in South America. The most recent reports are from an outbreak in commercial poultry in Chile in 2002 and its putative ancestor from a wild bird in Bolivia in 2001. Extensive surveillance in wild birds was carried out in Argentina during 2006–2007. Using RRT-PCR, 12 AI positive detections were made from cloacal swabs. One of those positive samples yielded an AI virus isolated from a wild kelp gull (Larus dominicanus) captured in the South Atlantic coastline of Argentina. Further characterization by nucleotide sequencing reveals that it belongs to the H13N9 subtype. Phylogenetic analysis of the 8 viral genes suggests that the 6 internal genes are related to the isolates from Chile and Bolivia. The analysis also indicates that a cluster of phylogenetically related AI viruses from South America may have evolved independently, with minimal gene exchange, from influenza viruses in other latitudes. The data produced from our investigations are valuable contributions to the study of AI viruses in South America. [Copyright &y& Elsevier]