Zika Virus: Medical Countermeasure Development Challenges

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Zika Virus: Medical Countermeasure Development Challenges

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Title: Zika Virus: Medical Countermeasure Development Challenges
Author: Malone, Robert W.; Homan, Jane; Callahan, Michael V.; Glasspool-Malone, Jill; Damodaran, Lambodhar; Schneider, Adriano De Bernardi; Zimler, Rebecca; Talton, James; Cobb, Ronald R.; Ruzic, Ivan; Smith-Gagen, Julie; Janies, Daniel; Wilson, James

Note: Order does not necessarily reflect citation order of authors.

Citation: Malone, R. W., J. Homan, M. V. Callahan, J. Glasspool-Malone, L. Damodaran, A. D. B. Schneider, R. Zimler, et al. 2016. “Zika Virus: Medical Countermeasure Development Challenges.” PLoS Neglected Tropical Diseases 10 (3): e0004530. doi:10.1371/journal.pntd.0004530. http://dx.doi.org/10.1371/journal.pntd.0004530.
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Abstract: Introduction: Reports of high rates of primary microcephaly and Guillain–Barré syndrome associated with Zika virus infection in French Polynesia and Brazil have raised concerns that the virus circulating in these regions is a rapidly developing neuropathic, teratogenic, emerging infectious public health threat. There are no licensed medical countermeasures (vaccines, therapies or preventive drugs) available for Zika virus infection and disease. The Pan American Health Organization (PAHO) predicts that Zika virus will continue to spread and eventually reach all countries and territories in the Americas with endemic Aedes mosquitoes. This paper reviews the status of the Zika virus outbreak, including medical countermeasure options, with a focus on how the epidemiology, insect vectors, neuropathology, virology and immunology inform options and strategies available for medical countermeasure development and deployment. Methods: Multiple information sources were employed to support the review. These included publically available literature, patents, official communications, English and Lusophone lay press. Online surveys were distributed to physicians in the US, Mexico and Argentina and responses analyzed. Computational epitope analysis as well as infectious disease outbreak modeling and forecasting were implemented. Field observations in Brazil were compiled and interviews conducted with public health officials.
Published Version: doi:10.1371/journal.pntd.0004530
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4774925/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:26318641
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