Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand (PLoS Negl Trop Dis, (2016), 10(6), (e0004761), 10.1371/journal.pntd.0004761)

2Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Notice of Republication This article was republished on November 15, 2021, to correct an unintentional coding error that led to pervasive minor inaccuracies in the manuscript. Specifically, in processing and merging multiple real-time data files from the Thai Ministry of Public Health, duplicate case records of dengue were created when a single record should have been in place. This led to over-counting of cases in many periods of time, an error that impacted forecast models and evaluation of the forecasts themselves. Please download this article again to view the correct version.

Cite

CITATION STYLE

APA

Reich, N. G., Lauer, S. A., Sakrejda, K., Iamsirithaworn, S., Hinjoy, S., Suangtho, P., … Lessler, J. (2022, October 1). Correction: Challenges in Real-Time Prediction of Infectious Disease: A Case Study of Dengue in Thailand (PLoS Negl Trop Dis, (2016), 10(6), (e0004761), 10.1371/journal.pntd.0004761). PLoS Neglected Tropical Diseases. Public Library of Science. https://doi.org/10.1371/journal.pntd.0010883

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free