Carlos Castillo-Chavez1, Roy Curtiss2, Peter Daszak3, Simon A Levin4, Oscar Patterson-Lomba5, Charles Perrings6, George Poste7, Sherry Towers1. 1. The Simon A Levin Mathematical, Computational and Modeling Sciences Center Mathematical, Computational and Modeling Sciences Center, and Arizona State University, Tempe, AZ, USA. 2. Biodesign Institute, and Arizona State University, Tempe, AZ, USA. 3. EcoHealth Alliance, New York, NY 10001, USA. Electronic address: daszak@ecohealthalliance.org. 4. The Simon A Levin Mathematical, Computational and Modeling Sciences Center Mathematical, Computational and Modeling Sciences Center, and Arizona State University, Tempe, AZ, USA; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA. 5. Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA. 6. School of Life Sciences, and Arizona State University, Tempe, AZ, USA. 7. Complex Adaptive Systems Initiative, Arizona State University, Scottsdale, AZ, USA.
It is now just more than a year since the official confirmation of an outbreak of Ebola haemorrhagic fever in west Africa. With new cases occurring at their lowest rate for 2015, and the end of the outbreak in sight for all three countries predominantly affected, now is the time to consider strategies to prevent future outbreaks of this, and other, zoonotic pathogens. The Ebola outbreak, like many other emerging diseases, illustrates the crucial role of the ecological, social, political, and economic context within which diseases emerge. Increasing anthropogenic environmental changes, coupled with a globalised network of travel and trade, allow zoonotic pathogens to spill over into human beings with increasing frequency, and leave us supremely vulnerable to their international spread. Pandemics are no longer simply the domain of public health and clinical medicine, but are a social issue, a development issue, and a global security issue.The cost of management of infectious disease outbreaks is almost always greater than the cost of avoiding them. For severe acute respiratory syndrome (SARS), the global cost of a single outbreak was estimated to be between US$13 billion and US$50 billion at the currency values of the 2003 outbreak.4, 5 For Ebola, the cost might be higher—both in the direct, short-term cost of control, patient care, and hospital admission, and in the indirect, longer-term dislocation of the regional economies in west Africa. The economic costs of disease emergence are projected to continue to rise in line with increasing frequency of outbreaks driven by expanding socioeconomic and environmental changes that cause diseases to emerge. Mitigation of future pandemic threats such as Ebola is therefore more cost-effective than the current approach of responding to outbreaks after they have begun to spread rapidly in the human population.What would mitigation strategies to deal with future pandemic risks of zoonotic disease look like? Analyses of emerging disease trends during the past six decades have shown that Ebolafits the dominant pattern. This pattern involves zoonotic spillover from wildlife or livestock driven by changes in land use, crop choices, migration patterns, animal husbandry, trade, transport, and travel. The west African Ebola outbreak, similar to previous outbreaks of Ebola, HIV, SARS, influenza, and most other emerging diseases, probably began with a zoonotic spillover from a wildlife reservoir, in this case thought to be bats. Targeted programmes for behaviour change, focusing on incentives for bushmeat hunting, should be part of the mitigation strategy. This approach was trialled in central Africa, with education programmes designed to reduce the consumption of primates found dead in forests, and has been shown to offer a cost-effective way to mitigate the risk of an Ebola outbreak. Additionally, projects aimed to reduce dependency on bushmeat need to be supported, either through creative approaches to farming of some wildlife species, or by expansion of livestock production, with appropriate biosecurity and surveillance to prevent emergence of other zoonoses.The acceleration of vaccine development for Ebola as part of an outbreak control strategy could also have a crucial role to mitigate future outbreaks. Ebola's propensity for nosocomial spread (noted in west Africa and in many previous Ebola outbreaks) could be curtailed by preoutbreak vaccination of critical care workers in Ebola virus hotspots. Likewise, targeted training in infection control, and efforts to maintain surge capacity between outbreaks, will be crucial for rapid response to the first cases in a future emergence event.Can these approaches be scaled up to mitigate future pandemics on a global scale? Global mitigation of future pandemic risk must focus on the large-scale behaviours that lead to zoonotic spillovers. This approach means engaging with the sectors that drive disease emergence, including industries involved in land-use change, resource extraction, livestock production, travel, and trade, among others. Large economic development programmes will need health-impact assessments that deal explicitly with the risk of emergence of novel diseases, and plans to set up new clinics and surveillance programmes listed as project deliverables. An improved understanding of the liability for disease emergence will drive this change; when all are at risk, collective action is needed to strengthen the weakest links in the chain.12, 13 Although existing multilateral agreements (eg, the International Health Regulations) allow for some coordination of national responses to outbreaks and bilateral interventions to build public health capacity in poor countries, more is needed. Collective investment needs to occur through a mechanism similar to the Global Environment Facility, not just in local public health infrastructure, but also in so-called one health measures to reduce the likelihood of zoonotic spillovers. Management of future risk will need anticipation of the origin and spread of diseases through improved predictive models of emergence that include animal populations, the powerful new drivers of global trade and travel, and the effect of disparities in income and wealth on health infrastructure, risk mitigation, presymptomatic diagnosis, and vaccination.14, 15Perhaps the biggest challenge is that the identity of future emerging diseases will often be unknown before emergence (eg, as in SARS and HIV). Is it possible to design a strategy for an as-yet unknown pathogen? This task seems daunting, but it has already begun, partly though reduction of the size of the problem and allocation of resources in an objective way to the locations most at risk. Analysis of trends in disease emergence provides a strategy to identify the places most likely to propagate the next pandemic. These hotspots for disease emergence tend to be tropical regions with high wildlife diversity that harbour known or unknown zoonoses, and high levels of socioeconomic and environmental change. USAID's Emerging Pandemic Threats (PREDICT) programme targets these hotspots to identify known and previously unknown viruses in wildlife species known to be zoonotic reservoirs, analyses patterns of high-risk human behaviour, tests people for evidence of these viruses moving across the species barrier, and enables the design of strategies to reduce the risk of even the first spillover event. Identification of the next Ebola virus, or the next HIV, will not be a simple task, but estimates of the diversity of viruses existing on the planet show that it is not impossible. Surely this threat is worth concerted effort, given the human tragedy and economic devastation when pandemics strike.
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