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Predicting the impact of COVID-19 interruptions on transmission of gambiense human African trypanosomiasis in two health zones of the Democratic Republic of Congo (2020)

First Author: Aliee M

Attributed to: New Approaches to Bayesian Data Science: Tackling Challenges from the Health Sciences funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2020.10.26.20219485

Publication URI: http://dx.doi.org/10.1101/2020.10.26.20219485

Type: Preprint