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Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination
Journal article

Quantifying the value of surveillance data for improving model predictions of lymphatic filariasis elimination

E. Michael, S. Sharma, M.E. Smith, P. Touloupou, F. Giardina, Joaquin Prada, W.A. Stolk, D. Hollingsworth and S.J. de Vlas
PLoS neglected tropical diseases, Vol.12(10)
2018

Abstract

Mathematical models are increasingly being used to evaluate strategies aiming to achieve the control or elimination of parasitic diseases. Recently, owing to growing realization that process-oriented models are useful for ecological forecasts only if the biological processes are well defined, attention has focused on data assimilation as a means to improve the predictive performance of these models.
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054771822&doi=10.1371%2fjournal.pntd.0006674&partnerID=40&md5=d12d2e6818df5b3337b4dc6606bf3087View
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