72 research outputs found

    One Health proof of concept: Bringing a transdisciplinary approach to surveillance for zoonotic viruses at the human-wild animal interface.

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    As the world continues to react and respond inefficiently to emerging infectious diseases, such as Middle Eastern Respiratory Syndrome and the Ebola and Zika viruses, a growing transdisciplinary community has called for a more proactive and holistic approach to prevention and preparedness - One Health. Such an approach presents important opportunities to reduce the impact of disease emergence events and also to mitigate future emergence through improved cross-sectoral coordination. In an attempt to provide proof of concept of the utility of the One Health approach, the US Agency for International Development's PREDICT project consortium designed and implemented a targeted, risk-based surveillance strategy based not on humans as sentinels of disease but on detecting viruses early, at their source, where intervention strategies can be implemented before there is opportunity for spillover and spread in people or food animals. Here, we share One Health approaches used by consortium members to illustrate the potential for successful One Health outcomes that can be achieved through collaborative, transdisciplinary partnerships. PREDICT's collaboration with partners around the world on strengthening local capacity to detect hundreds of viruses in wild animals, coupled with a series of cutting-edge virological and analytical activities, have significantly improved our baseline knowledge on the zoonotic pool of viruses and the risk of exposure to people. Further testament to the success of the project's One Health approach and the work of its team of dedicated One Health professionals are the resulting 90 peer-reviewed, scientific publications in under 5 years that improve our understanding of zoonoses and the factors influencing their emergence. The findings are assisting in global health improvements, including surveillance science, diagnostic technologies, understanding of viral evolution, and ecological driver identification. Through its One Health leadership and multi-disciplinary partnerships, PREDICT has forged new networks of professionals from the human, animal, and environmental health sectors to promote global health, improving our understanding of viral disease spillover from wildlife and implementing strategies for preventing and controlling emerging disease threats

    Best Practice Guidelines for Health Monitoring and Disease Control in Great Ape Populations

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    First paragraph: Due to their phylogenetic relatedness, great apes and humans share susceptibility to many infectious diseases, and the potential for new diseases to be transmitted to wild great apes is of particular concern (Calvignac-Spencer et al. 2012). As great ape tourism becomes more popular, great ape research more imperative, and landscape conversion more rampant, the risk that human pathogens will be introduced to immunologically naïve wild populations becomes greater, and this could result in catastrophic losses of great apes. Therefore, it is critical that tourism and research projects involving close proximity1 between great apes and people assess the risks entailed, and establish and implement disease prevention and control measures. Disease prevention should be regarded as a top priority, recognising that it is easier and more economical to prevent the introduction of an infectious agent into a great ape population, than to attempt to treat, control or eradicate a health problem once introduced. Disease prevention programmes should be centred on monitoring health parameters, and modifying human activities accordingly, in order to reduce the risk of disease transmission to great apes. By design, such programmes will also minimise the risk of disease transfer from great apes to humans, and even from humans to other humans. Continual monitoring of the health of great apes forms the basis for establishing what is normal and abnormal and thus improves our understanding of great ape population health, allows us to determine the effectiveness of disease prevention and health management strategies, and provides a basis for conducting responsible and reasonable health interventions when needed.  To access this book go to: https://portals.iucn.org/library/node/4579

    Lignes directrices pour de meilleures pratiques en matière de suivi de la santé et de contrôle des maladies des populations de grands singes

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    Ces lignes directrices ont pour objectif de fournir aux gouvernements, aux décideurs politiques, aux acteurs de la conservation, aux chercheurs, aux professionnels du tourisme de vision des grands singes et aux bailleurs de fonds des recommandations en terme de meilleures pratiques pour le suivi sanitaire des grands singes et la prévention des maladies. Ces recommandations reprennent et mettent à jour, le cas échéant, les normes antérieures de protection sanitaire recommandées par Homsy (1999). Tout en reconnaissant que le risque zéro de maladie n’existe pas et que les mesures de prévention ou de contrôle de la propagation des maladies n’élimineront jamais le risque, ces recommandations visent principalement à minimiser, plutôt qu’à tenter d’éliminer la menace de transmission de maladies des hommes aux grands singes. L’application des meilleures pratiques présentées ici devrait réduire substantiellement les risques que les activités humaines peuvent poser à la santé des grands singes, et ce faisant, envoyer un signal clair d’engagement vis-à-vis de la conservation des grands singes

    Best Practice Guidelines for Health Monitoring and Disease Control in Great Ape Populations

    Get PDF
    First paragraph: Due to their phylogenetic relatedness, great apes and humans share susceptibility to many infectious diseases, and the potential for new diseases to be transmitted to wild great apes is of particular concern (Calvignac-Spencer et al. 2012). As great ape tourism becomes more popular, great ape research more imperative, and landscape conversion more rampant, the risk that human pathogens will be introduced to immunologically naïve wild populations becomes greater, and this could result in catastrophic losses of great apes. Therefore, it is critical that tourism and research projects involving close proximity1 between great apes and people assess the risks entailed, and establish and implement disease prevention and control measures. Disease prevention should be regarded as a top priority, recognising that it is easier and more economical to prevent the introduction of an infectious agent into a great ape population, than to attempt to treat, control or eradicate a health problem once introduced. Disease prevention programmes should be centred on monitoring health parameters, and modifying human activities accordingly, in order to reduce the risk of disease transmission to great apes. By design, such programmes will also minimise the risk of disease transfer from great apes to humans, and even from humans to other humans. Continual monitoring of the health of great apes forms the basis for establishing what is normal and abnormal and thus improves our understanding of great ape population health, allows us to determine the effectiveness of disease prevention and health management strategies, and provides a basis for conducting responsible and reasonable health interventions when needed.  To access this book go to: https://portals.iucn.org/library/node/4579

    Facial asymmetry tracks genetic diversity among Gorilla subspecies

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    Mountain gorillas are particularly inbred compared to other gorillas and even the most inbred human populations. As mountain gorilla skeletal material accumulated during the 1970s, researchers noted their pronounced facial asymmetry and hypothesized that it reflects a population-wide chewing side preference. However, asymmetry has also been linked to environmental and genetic stress in experimental models. Here, we examine facial asymmetry in 114 crania from three Gorilla subspecies using 3D geometric morphometrics. We measure fluctuating asymmetry (FA), defined as random deviations from perfect symmetry, and population-specific patterns of directional asymmetry (DA). Mountain gorillas, with a current population size of about 1000 individuals, have the highest degree of facial FA (explaining 17% of total facial shape variation), followed by Grauer gorillas (9%) and western lowland gorillas (6%), despite the latter experiencing the greatest ecological and dietary variability. DA, while significant in all three taxa, explains relatively less shape variation than FA does. Facial asymmetry correlates neither with tooth wear asymmetry nor increases with age in a mountain gorilla subsample, undermining the hypothesis that facial asymmetry is driven by chewing side preference. An examination of temporal trends shows that stress-induced developmental instability has increased over the last 100 years in these endangered apes

    Ranking the risk of animal-to-human spillover for newly discovered viruses

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    The death toll and economic loss resulting from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic are stark reminders that we are vulnerable to zoonotic viral threats. Strategies are needed to identify and characterize animal viruses that pose the greatest risk of spillover and spread in humans and inform public health interventions. Using expert opinion and scientific evidence, we identified host, viral, and environmental risk factors contributing to zoonotic virus spillover and spread in humans. We then developed a risk ranking framework and interactive web tool, SpillOver, that estimates a risk score for wildlife-origin viruses, creating a comparative risk assessment of viruses with uncharacterized zoonotic spillover potential alongside those already known to be zoonotic. Using data from testing 509,721 samples from 74,635 animals as part of a virus discovery project and public records of virus detections around the world, we ranked the spillover potential of 887 wildlife viruses. Validating the risk assessment, the top 12 were known zoonotic viruses, including SARS-CoV-2. Several newly detected wildlife viruses ranked higher than known zoonotic viruses. Using a scientifically informed process, we capitalized on the recent wealth of virus discovery data to systematically identify and prioritize targets for investigation. The publicly accessible SpillOver platform can be used by policy makers and health scientists to inform research and public health interventions for prevention and rapid control of disease outbreaks. SpillOver is a living, interactive database that can be refined over time to continue to improve the quality and public availability of information on viral threats to human health

    Confirmation of Skywalker Hoolock Gibbon (Hoolock tianxing) in Myanmar extends known geographic range of an endangered primate

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    Characterizing genetically distinct populations of primates is important for protecting biodiversity and effectively allocating conservation resources. Skywalker gibbons (Hoolock tianxing) were first described in 2017, with the only confirmed population consisting of 150 individuals in Mt. Gaoligong, Yunnan Province, China. Based on river geography, the distribution of the skywalker gibbon has been hypothesized to extend into Myanmar between the N’Mai Kha and Ayeyarwaddy Rivers to the west, and the Salween River (named the Thanlwin River in Myanmar and Nujiang River in China) to the east. We conducted acoustic point-count sampling surveys, collected noninvasive samples for molecular mitochondrial cytochrome b gene identification, and took photographs for morphological identification at six sites in Kachin State and three sites in Shan State to determine the presence of skywalker gibbons in predicted suitable forest areas in Myanmar. We also conducted 50 semistructured interviews with members of communities surrounding gibbon range forests to understand potential threats. In Kachin State, we audio-recorded 23 gibbon groups with group densities ranging between 0.57 and 3.6 group/km2. In Shan State, we audio-recorded 21 gibbon groups with group densities ranging between 0.134 and 1.0 group/km2. Based on genetic data obtained from skin and saliva samples, the gibbons were identified as skywalker gibbons (99.54–100% identity). Although these findings increase the species’ known population size and confirmed distribution, skywalker gibbons in Myanmar are threatened by local habitat loss, degradation, and fragmentation. Most of the skywalker gibbon population in Myanmar exists outside protected areas. Therefore, the IUCN Red List status of the skywalker gibbon should remain as Endangered

    Socializing One Health: an innovative strategy to investigate social and behavioral risks of emerging viral threats

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    In an effort to strengthen global capacity to prevent, detect, and control infectious diseases in animals and people, the United States Agency for International Development’s (USAID) Emerging Pandemic Threats (EPT) PREDICT project funded development of regional, national, and local One Health capacities for early disease detection, rapid response, disease control, and risk reduction. From the outset, the EPT approach was inclusive of social science research methods designed to understand the contexts and behaviors of communities living and working at human-animal-environment interfaces considered high-risk for virus emergence. Using qualitative and quantitative approaches, PREDICT behavioral research aimed to identify and assess a range of socio-cultural behaviors that could be influential in zoonotic disease emergence, amplification, and transmission. This broad approach to behavioral risk characterization enabled us to identify and characterize human activities that could be linked to the transmission dynamics of new and emerging viruses. This paper provides a discussion of implementation of a social science approach within a zoonotic surveillance framework. We conducted in-depth ethnographic interviews and focus groups to better understand the individual- and community-level knowledge, attitudes, and practices that potentially put participants at risk for zoonotic disease transmission from the animals they live and work with, across 6 interface domains. When we asked highly-exposed individuals (ie. bushmeat hunters, wildlife or guano farmers) about the risk they perceived in their occupational activities, most did not perceive it to be risky, whether because it was normalized by years (or generations) of doing such an activity, or due to lack of information about potential risks. Integrating the social sciences allows investigations of the specific human activities that are hypothesized to drive disease emergence, amplification, and transmission, in order to better substantiate behavioral disease drivers, along with the social dimensions of infection and transmission dynamics. Understanding these dynamics is critical to achieving health security--the protection from threats to health-- which requires investments in both collective and individual health security. Involving behavioral sciences into zoonotic disease surveillance allowed us to push toward fuller community integration and engagement and toward dialogue and implementation of recommendations for disease prevention and improved health security
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