TY - JOUR
T1 - One Health proof of concept
T2 - Bringing a transdisciplinary approach to surveillance for zoonotic viruses at the human-wild animal interface
AU - PREDICT Consortium
AU - Kelly, Terra R.
AU - Karesh, William B.
AU - Johnson, Christine Kreuder
AU - Gilardi, Kirsten V.K.
AU - Anthony, Simon J.
AU - Goldstein, Tracey
AU - Olson, Sarah H.
AU - Machalaba, Catherine
AU - Mazet, Jonna A.K.
AU - Aguirre, Alonso
AU - Aguirre, Luis
AU - Akongo, Mark Joel
AU - Robles, Erika Alandia
AU - Ambu, Laurentius
AU - Antonjaya, Ungke
AU - Aguilar, Glenda Ayala
AU - Barcena, Luis
AU - Barradas, Rosario
AU - Bogich, Tiffany
AU - Bounga, Gerard
AU - Brownstein, John
AU - Buchy, Philippe
AU - Bunn, David
AU - Byaruba, Denis
AU - Cameron, Ken
AU - Carroll, Dennis
AU - Cavero, Nancy
AU - Cespedes, Manuel
AU - Che, Xiaoyu
AU - Chea, Sokha
AU - Chiu, Charles
AU - Chmura, Aleksei
AU - Chor, Kimashalen
AU - Clements, Andrew
AU - Cranfield, Michael
AU - Acevedo, Luz Dary
AU - Daszak, Peter
AU - Campos, Angélica Cristine Almeida
AU - De La Puente, Micaela
AU - de Lamballerie, Xavier
AU - de Paula, Catia
AU - Delwart, Eric
AU - Le Doux, Joseph Diffo
AU - Doyle-Capitman, Catherine
AU - Duengkae, Prateep
AU - Durigon, Edison
AU - Epstein, Jonathan H.
AU - Fair, Joseph
AU - Lipkin, W. Ian
AU - Morse, Stephen
N1 - Publisher Copyright:
© 2016 The Author(s)
PY - 2017/2/1
Y1 - 2017/2/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=85009215288&partnerID=8YFLogxK
U2 - 10.1016/j.prevetmed.2016.11.023
DO - 10.1016/j.prevetmed.2016.11.023
M3 - Article
C2 - 28034593
AN - SCOPUS:85009215288
SN - 0167-5877
VL - 137
SP - 112
EP - 118
JO - Preventive Veterinary Medicine
JF - Preventive Veterinary Medicine
ER -