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https://doi.org/10.7554/eLife.51027
DC Field | Value | |
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dc.title | Estimates of the global burden of japanese encephalitis and the impact of vaccination from 2000-2015 | |
dc.contributor.author | Quan, T.M. | |
dc.contributor.author | Thao, T.T.N. | |
dc.contributor.author | Duy, N.M. | |
dc.contributor.author | Nhat, T.M. | |
dc.contributor.author | Clapham, H.E. | |
dc.date.accessioned | 2021-08-10T03:02:23Z | |
dc.date.available | 2021-08-10T03:02:23Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Quan, T.M., Thao, T.T.N., Duy, N.M., Nhat, T.M., Clapham, H.E. (2020). Estimates of the global burden of japanese encephalitis and the impact of vaccination from 2000-2015. eLife 9 : 1-187. ScholarBank@NUS Repository. https://doi.org/10.7554/eLife.51027 | |
dc.identifier.issn | 2050-084X | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/196156 | |
dc.description.abstract | Japanese encephalitis (JE) is a mosquito-borne disease, known for its high mortality and disability rate among symptomatic cases. Many effective vaccines are available for JE, and the use of a recently developed and inexpensive vaccine, SA 14-14-2, has been increasing over the recent years particularly with Gavi support. Estimates of the local burden and the past impact of vaccination are therefore increasingly needed, but difficult due to the limitations of JE surveillance. In this study, we implemented a mathematical modelling method (catalytic model) combined with age-stratifed case data from our systematic review which can overcome some of these limitations. We estimate in 2015 JEV infections caused 100,308 JE cases (95%CI: 61,720-157,522) and 25,125 deaths (95%CI: 14,550-46,031) globally, and that between 2000 and 2015 307,774 JE cases (95%CI: 167,442-509,583) were averted due to vaccination globally. Our results highlight areas that could have the greatest benefit from starting vaccination or from scaling up existing programs and will be of use to support local and international policymakers in making vaccine allocation decisions. © 2020, eLife Sciences Publications Ltd. All rights reserved. | |
dc.publisher | eLife Sciences Publications Ltd | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2020 | |
dc.type | Article | |
dc.contributor.department | DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) | |
dc.description.doi | 10.7554/eLife.51027 | |
dc.description.sourcetitle | eLife | |
dc.description.volume | 9 | |
dc.description.page | 1-187 | |
Appears in Collections: | Elements Staff Publications |
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